associate machine learning engineer Jobs in Seattle Wa Make 80 Hr 90 Hr Jobs In Washington

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machine learning engineer, model customization, generative ai innovation center Jobs in Seattle Wa Make 80 Hr 90 Hr Jobs In Washington

machine learning engineer, model customization, generative ai innovation center

senior full-stack engineer, ai financial actions & recommendations Jobs in Seattle Wa Make 80 Hr 90 Hr Jobs In Washington

senior full-stack engineer, ai financial actions & recommendations

sr. machine learning engineer Jobs in Seattle Wa Make 80 Hr 90 Hr Jobs In Washington

sr. machine learning engineer

tech lead software engineer - ai inference infrastructure Jobs in Seattle Wa Make 80 Hr 90 Hr Jobs In Washington

tech lead software engineer - ai inference infrastructure

tech lead software engineer ai inference infrastructure

ByteDance

<b>Location:</b><br>
Seattle
<br><br>
<b>Team:</b><br>
Infrastructure
<br><br>
<b>Employment Type:</b><br>
Regular
<br><br>
<b>Job Code:</b><br>
A35024
<br><br>
Responsibilities
<br><br>
About the Team
<br>The Inference Infrastructure team is the creator and open-source maintainer of AIBrix, a Kubernetes-native control plane for large-scale LLM inference. We are part of ByteDance’s Core Compute Infrastructure organization, responsible for designing and operating the platforms that power microservices, big data, distributed storage, machine learning training and inference, and edge computing across multi-cloud and global datacenters.
<br><br>
With ByteDance’s rapidly growing businesses and a global fleet of machines running hundreds of millions of containers daily, we are building the next generation of cloud-native, GPU-optimized orchestration systems. Our mission is to deliver infrastructure that is highly performant, massively scalable, cost-efficient, and easy to use—enabling both internal and external developers to bring AI workloads from research to production at scale.
<br><br>
We are expanding our focus on LLM inference infrastructure to support new AI workloads, and are looking for engineers passionate about cloud-native systems, scheduling, and GPU acceleration. You’ll work in a hyper-scale environment, collaborate with world-class engineers, contribute to the open-source community, and help shape the future of AI inference infrastructure globally.
<br><br>
Responsibilities
<br><ul>
<li>Design and build large-scale, container-based cluster management and orchestration systems with extreme performance, scalability, and resilience.</li>
<li>Architect next-generation cloud-native GPU and AI accelerator infrastructure to deliver cost-efficient and secure ML platforms.</li>
<li>Collaborate across teams to deliver world-class inference solutions using vLLM, SGLang, TensorRT-LLM, and other LLM engines.</li>
<li>Stay current with the latest advances in open source (Kubernetes, Ray, etc.), AI/ML and LLM infrastructure, and systems research; integrate best practices into production systems.</li>
<li>Write high-quality, production-ready code that is maintainable, testable, and scalable.</li>
</ul>
Qualifications
<br><br>
Minimum Qualifications
<br><ul>
<li>B.S./M.S. in Computer Science, Computer Engineering, or related fields with 5 years of relevant experience (Ph.D. with strong systems/ML publications also considered).</li>
<li>Strong understanding of large model inference, distributed and parallel systems, and/or high-performance networking systems.</li>
<li>Hands-on experience building cloud or ML infrastructure in areas such as resource management, scheduling, request routing, monitoring, or orchestration.</li>
<li>Solid knowledge of container and orchestration technologies (Docker, Kubernetes).</li>
<li>Proficiency in at least one major programming language (Go, Rust, Python, or C++).</li>
</ul>
Preferred Qualifications
<br><ul>
<li>Experience contributing to or operating large-scale cluster management systems (e.g., Kubernetes, Ray).</li>
<li>Experience with workload scheduling, GPU orchestration, scaling, and isolation in production environments.</li>
<li>Hands-on experience with GPU programming (CUDA) or inference engines (vLLM, SGLang, TensorRT-LLM).</li>
<li>Familiarity with public cloud providers (AWS, Azure, GCP) and their ML platforms (SageMaker, Azure ML, Vertex AI).</li>
<li>Strong knowledge of ML systems (Ray, DeepSpeed, PyTorch) and distributed training/inference platforms.</li>
<li>Excellent communication skills and ability to collaborate across global, cross-functional teams.</li>
<li>Passion for system efficiency, performance optimization, and open-source innovation.</li>
</ul>
Job Information
<br><br>
【For Pay Transparency】Compensation Description (Annually)
<br><br>
The base salary range for this position in the selected city is $198360 - $416100 annually.
<br><br>
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
<br><br>
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
<br><br>
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
<br><br>
<b>For Los Angeles County (unincorporated) Candidates:</b><br>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
<br><br>
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
<br><br>
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
<br><br>
3. Exercising sound judgment.
<br><br>
About Us
<br><br>
Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
<br><br>
Why Join ByteDance
<br><br>
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
<br><br>
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
<br><br>
Diversity & Inclusion
<br><br>
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
<br><br>
Reasonable Accommodation
<br><br>
ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request

Tech Lead Software Engineer - AI Inference Infrastructure

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Hardware Engineering seeks a Senior System Development Engineer to lead accelerator server and rack system development, solving complex architectural problems while debugging hardware, software, and network issues across NPI and fleet operations. You will build automation to manage and improve large-scale infrastructure, focusing on operational excellence, reliability, and efficiency at the intersection of hardware, software, networking, and cloud services. This role involves creating tools, monitoring systems, troubleshooting complex issues, and driving human-free operations. You will proactively identify deficiencies before customer impact and develop tests that enhance quality while reducing execution time. You will decompose large-scale system challenges in testability, reliability, and diagnostics into actionable components, delivering solutions through both hands-on execution and leadership.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead technical solutions for complex accelerator server and rack system architectural challenges</li><li>Own end-to-end system reliability, proactively identifying and resolving deficiencies before customer impact</li><li>Write code and implement solutions to address system-level issues at large scale</li><li>Decompose complex server system problems (testability, reliability, diagnostics) into deliverable tasks and features</li><li>Lead cross-functional delivery of system improvements through direct execution and team coordination</li><li>Apply expertise across hardware, software, system design, x86 architecture, processes, and operations</li><li>Drive system scalability and performance optimization for accelerator workloads</li><li>Collaborate with hardware and software teams to ensure robust system integration</li><li>Develop and implement diagnostic tools and monitoring solutions for production systems</li><li>Debug complex system failures in time sensitive settings</li></ul><br>
About the team<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience</li><li>4+ years of non-internship professional software development experience</li><li>2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production</li><li>Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience troubleshooting and debugging technical systems and experience working with customers with a passion for delivering exceptional service</li><li>4+ years of site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration experience</li><li>Experience leading and influencing your team or organization, or experience leading engineering teams as a mentor or tech lead</li><li>Knowledge of operating systems, hardware, storage, network, security, database administration and cloud infrastructure</li><li>Knowledge of programming or other scripting languages and coding skills (C/C++/C#, Node.JS, Java, Python, PHP, Ruby)</li><li>5+ years of system development experience with server hardware and software integration</li><li>Deep understanding of x86 architecture, server hardware, and system-level debugging</li><li>Experience with accelerator technologies (GPUs, AI/ML hardware) and/or storage systems and/or high-performance computing systems</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>6+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience</li><li>Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations</li><li>Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Cupertino - 173,900.00 - 235,200.00 USD annually<br>
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually</div><p></p>

Sr. System Development Engineer, HWEng Acceletor Systems

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including:<br>
<br>
<ul><li>Embedded Systems</li><li>Game Development</li><li>Compiler Engineering</li><li>Artificial Intelligence/Machine Learning</li><li>Healthcare AI</li><li>Infrastructure Services</li><li>Firmware Development</li><li>Cloud Computing</li><li>Distributed Systems</li><li>Security Engineering</li><li>Video Processing and Streaming</li><li>Content Delivery Network (CDN)</li></ul>
When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront.<br>
<br>
Key job responsibilities<br>
As an AWS Software Development Engineer, you will:<br>
<ul><li>Design, develop, and maintain efficient, reusable, and reliable code</li><li>Implement complex software solutions that meet business requirements</li><li>Collaborate with cross-functional teams to define, design, and ship new features</li><li>Identify and resolve performance bottlenecks and bugs</li><li>Participate in architecture and design reviews to provide technical guidance</li><li>Contribute to continuous improvement by identifying opportunities for process enhancement</li><li>Stay current with emerging technologies and industry trends</li><li>Mentor junior engineers and contribute to building a strong engineering culture</li></ul><br>
A day in the life<br>
On a typical day as an AWS SDE, you might:<br>
<ul><li>Start your morning with a team stand-up to align on priorities and address any blockers</li><li>Collaborate with product managers to refine requirements for upcoming features</li><li>Write code and develop solutions for complex technical challenges</li><li>Review pull requests from team members, providing constructive feedback</li><li>Participate in design discussions for new services or features</li><li>Debug and troubleshoot production issues as they arise</li><li>Attend learning sessions to stay current with AWS technologies</li><li>Document your work and contribute to technical specifications</li><li>Engage with customers or internal stakeholders to better understand their needs</li></ul><br>
About the team<br>
Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect:<br>
<br>
<ul><li>An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests</li><li>They will share specific details about what you need to succeed in the interview process</li><li>As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams</li><li>Throughout the process, the central team will provide guidance and preparation support</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>3+ years of building complex software systems experience</li><li>2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>Bachelor's degree or equivalent</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT</li><li>Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques</li><li>Knowledge of Python and/or C++ programming</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer

SoFi

<div><div><p><b>Employee Applicant Privacy Notice</b></p>
<p><b>
Who we are:</b></p>
<div>
<p>Shape a brighter financial future with us.</p>
<p>
Together with our members, we're changing the way people think about and interact with personal finance.</p>
<p>
We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. <b>Join us to invest in yourself, your career, and the financial world.</b></p>
</div></div><p><b>
The Role</b></p>
<p>
We are seeking a <i>Senior Full-stack Software Engineer </i>to join SoFi's <i>AI Financial Actions &amp; Recommendations team</i>. This team is building the intelligence layer that powers SoFi's Financial AI Agent &mdash; turning member goals and financial data into trusted, actionable recommendations and seamless execution opportunities across the SoFi ecosystem. You will have the opportunity to design and build a high-impact service from the ground up, shaping the architecture and systems that connect financial guidance to real-world action. This role will work at the forefront of Generative AI, integrating with SoFi's Financial AI Agent to deliver intelligent, context-aware, and compliant experiences that help members take confident financial steps.</p>
<p>
The ideal candidate is collaborative, product-minded, and pragmatic, with a strong sense of ownership and accountability for both code quality and the end-to-end product experience. At SoFi, close partnership across Product, Design, and Engineering is core to how we work, and you will be involved throughout the entire product lifecycle&mdash;from ideation and design to implementation, deployment, and continuous improvement. We also value a culture of continuous learning, and you will be encouraged to invest in your own growth while mentoring and supporting fellow team members.</p><br>
<p></p>
<p><b>
What you'll do</b></p>
<ul>
<li>Lead the design, development and testing of software across the entire stack, from mobile/web interfaces to backend microservices.</li>
<li><b>Code Quality:</b> Lead code reviews and models engineering excellence across both frontend and backend repositories.</li>
<li><b>Execution:</b> Translate product requirements to design and execution plan, with high quality and focus on polished UI/UX.</li>
<li><b>Collaboration:</b> Communicate effectively with project leads, engineering managers, and fellow developers to coordinate complex feature launches.</li></ul><br>
<p></p>
<p><b>
What you'll need</b></p>
<ul>
<li>Bachelor's Degree, ideally in a technical field, but we understand great engineers come from all sorts of different backgrounds and also consider relevant work experience.</li>
<li><b>Experience:</b> 4+ years of professional programming experience on a modern full-stack architecture.</li>
<li><b>Frontend Expertise:</b> Proficiency in <b>React</b> (web) is a must. We use <b>Flutter</b> (mobile) for building mobile UX.</li>
<li><b>Backend Knowledge:</b> 3+ years of experience with <b>Java or Kotlin</b>. Our core stack is Kotlin/Spring/PostgreSQL/DynamoDB.</li>
<li>Experience and enthusiasm leveraging LLM/AI tools to increase your efficiency as an engineer.</li>
</ul>
<p><b>Nice to have:</b></p>
<ul>
<li><b>Generative AI: </b>experience working with LLM technologies, such as agents, prompt engineering and evaluation</li>
<li><b>Cross-Platform Skills:</b> Dual experience in both React and Flutter is a major plus.</li>
<li><b>Systems Architecture:</b> Experience working with asynchronous and event-based systems (queues, streams).</li>
<li><b>Database Scaling:</b> Hands-on experience with both SQL and No-SQL (DynamoDB) at scale.</li>
<li><b>Infrastructure:</b> Familiarity with Kubernetes, Docker, and service-oriented architectures.</li>
</ul><div><div><b>Compensation and Benefits</b></div>
<div>The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.</div>
<div></div>
<div>To view all of our comprehensive and competitive benefits, visit our <b>Benefits at SoFi</b><b> </b>page!</div>
<h5 class="jobSectionHeader">SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.</h5>
<h5 class="jobSectionHeader">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</h5>
<h5 class="jobSectionHeader">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</h5>
<h5 class="jobSectionHeader">New York applicants: Notice of Employee Rights</h5>
<h5 class="jobSectionHeader">SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email <b>accommodations@sofi.com.</b></h5>
<h5 class="jobSectionHeader">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</h5>
<div><b>Internal Employees</b></div>
<div>If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div></div>

Senior Full-Stack Engineer, AI Financial Actions & Recommendations

Coursera Sourcing

<div><div><p>Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Today, it is one of the largest online learning platforms in the world, with <b>191 million registered learners as of September 30, 2025</b>. Coursera partners <b>with over 375 leading universities and industry partners </b>to offer a broad catalogue of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera's platform innovations &mdash; including generative AI-powered features like Coach, Role Play, and Course Builder, and role-based solutions like Skills Tracks &mdash; enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp.</p>
<p>
We're a global platform aiming to transform lives through learning by offering transformative courses, certificates, and degrees that empower learners worldwide to advance their careers through skill mastery. We're looking for inventors, innovators, and lifelong learners eager to shape the future of education. If you're ready to build the global programs and tools that fuel the power of online learning, join Team Coursera.</p>
<p><b>
At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. As a remote-first company, our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates.</b></p></div><p><b>
Home Team Overview:</b></p>
<p>
The Home Team is at the heart of our logged-in experience, directly influencing retention, engagement, and long term success by guiding learners through discovery and engagement. We tailor experiences based on learner needs&mdash;whether they are exploring our catalog for the first time, working toward their first professional certificate, or developing a new skill.</p>
<p>
The team focuses on several key areas:</p>
<ul>
<li><p>Unified Consumer and Enterprise Home: Serve as the launching pad for discovering, enrolling and learning in Coursera content seamlessly across both our consumer and enterprise products. Interface cleanly with a number of cross-functional teams.</p>
</li>
<li><p>Personalization: Leveraging key attributes from our learners, personalize the logged-in experience based on the phase of the learner journey. Work closely with related discovery and machine learning teams to better understand and serve the learner.</p>
</li>
<li><p>Goal Progression and Advancement: Focus the learner on the particular actions that will progress them towards their long term learning goal, whether that be advancing in a new skill, getting an industry certificate or just learning for fun.</p>
</li>
<li><p>Unified Application Architecture: Establish and govern an unified application architecture which enables the broader engineering organization to build out features across multiple business lines within a single implementation.</p>
</li>
</ul><p>As the Engineering Manager for the Home team, you will lead a full-stack engineering team responsible for creating these critical capabilities. Your role involves technical leadership, architectural guidance, close collaboration with cross-functional stakeholders, and driving strategic initiatives to deliver scalable, innovative solutions for millions of active learners aligned with Coursera's broader strategic goals. You will foster a high-performance team culture, encourage innovation, and ensure operational excellence, directly contributing to Coursera's mission of delivering impactful, high-quality learning experiences worldwide.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Building the Team: Partner with cross-functional stakeholders (Product, Design, Data, Content Operations) to refine the team's charter, ensure alignment with broader business goals, and support overall team health and growth.</li>
<li>Mentoring: Act as a role model and coach for engineers. Conduct regular career development conversations, provide constructive feedback, and inspire engineers to achieve their best.</li>
<li>Hiring: Identify key skill gaps and growth areas on the team. Drive the hiring pipeline by sourcing, interviewing, and onboarding talented engineers to build a well-rounded, high-performing team.</li>
<li>Advising (Technical Leadership): Provide hands-on technical guidance to engineers as they design systems and tackle complex problems. Encourage sound architectural decisions and help team members grow into technical leaders in their product work.</li>
<li>Product Enablement: In partnership with Product Management, curate a compelling vision for the logged-in home experience. Translate high-level product needs into an actionable engineering roadmap. Prioritize and drive key initiatives forward, run sprint planning and stand-ups, and ensure the team delivers product features that delight content creators and learners.</li>
<li>Platform Leadership: Balance building new features with managing tech debt to maintain a reliable, scalable platform. Evolve the platform for high leverage &ndash; architect systems and services that can accelerate multiple product initiatives across Coursera. Ensure consistency and quality in the user experience by creating reusable components and frameworks for content.</li>
<li>Mediating: Foster an inclusive, collaborative team environment. Proactively address interpersonal issues and facilitate crucial conversations with empathy and fairness. Ensure every team member feels empowered, engaged, and comfortable sharing ideas and concerns.</li>
</ul>
<p><b>Basic Qualifications:</b></p>
<ul>
<li>Education &amp; Experience: Bachelor's degree in Computer Science or a related field, OR equivalent practical experience (e.g. 3+ years as a hands-on software engineer building web applications or distributed systems).</li>
<li>Industry Experience: 5+ years in software product development or a related field, including prior experience leading engineering teams (2+ years in an engineering management role). You should have a proven track record of delivering software projects and managing cross-functional development teams.</li>
<li>Technical Background: Strong software engineering foundation with experience in system design, data structures, and algorithms. (You should have professional coding/development experience in your background, even if this role is not an IC position.)</li>
</ul>
<p><b>Preferred Qualifications:</b></p>
<ul>
<li>Leadership: Demonstrated integrity, transparency, and inspiration in your leadership style. Ability to empower and motivate a team to achieve ambitious goals.</li>
<li>Emotional Intelligence: High degree of empathy, humility, and effective communication skills. Experience building inclusive team cultures and handling interpersonal dynamics with patience and tact.</li>
<li>Problem Solving: Creative and analytical mindset with rigorous technical problem-solving skills. Ability to navigate complexity and guide the team to well-reasoned, innovative solutions.</li>
<li>Thriving in Ambiguity: Excellence in driving clarity and results in ambiguous, complex situations. Boldness and grit to chart a path forward even when the way is not fully defined.</li>
<li>Product &amp; Platform Vision: Experience balancing rapid product feature delivery with long-term platform health. Proven ability to manage technical debt and invest in platform infrastructure that yields high leverage across multiple products or use cases.</li>
<li>Platform Ownership: Experience managing a team that owns a product platform or critical infrastructure component. Ideally, you have firsthand experience defining the team's charter and boundaries of ownership, especially in the context of evolving a new platform.</li>
<li>Experience with Generative AI applications including prompt engineering and using APIs such as OpenAI, Claude, or Gemini.</li>
<li>Scalable Systems Expertise: Demonstrated experience building and operating large-scale distributed systems, using modern backend technologies such as Java or Scala and API frameworks like GraphQL and gRPC. You understand how to design systems for high availability, performance, and maintainability at scale.</li>
<li>Full-Stack Familiarity: Familiarity with modern frontend technologies (React, TypeScript, or similar) and how front-end interfaces integrate with backend services. While depth in one area (backend or frontend) is expected, the ability to understand and guide end-to-end system architecture is highly valued.</li>
</ul>
<p><b>Leadership &amp; Team Building:</b></p>
<ul>
<li>Inspirational Leadership: You are an inspiring and transparent leader who empowers and motivates your team to achieve ambitious goals.</li>
<li>High Emotional Intelligence: Possess a high degree of empathy, humility, and strong communication skills. You excel at building inclusive team cultures and adeptly manage interpersonal dynamics.</li>
</ul>
<p><b>Technical Acumen &amp; Problem Solving:</b></p>
<ul>
<li>Rigorous Problem Solving: Demonstrate a creative and analytical mindset with strong technical problem-solving abilities. You can navigate complexity and guide your team to innovative, well-reasoned solutions.</li>
<li>Thriving in Ambiguity: You excel at driving clarity and results in ambiguous and complex situations, possessing the boldness and grit to forge a path forward even when details are undefined.</li>
<li>Product &amp; Platform Vision: Experienced in balancing rapid product feature delivery with long-term platform health. You have a proven ability to manage technical debt and strategically invest in platform infrastructure for high leverage.</li>
<li>Platform Ownership Expertise: Experience leading a team that owns a product platform or critical infrastructure. Ideally, you have firsthand experience defining team charters and ownership boundaries, especially during new platform evolution.</li>
<li>Generative AI Applications: Proficient with Generative AI applications, including prompt engineering and using APIs such as OpenAI, Claude, or Gemini.</li>
<li>Scalable Systems Expertise: Demonstrated experience in building and operating large-scale distributed systems using modern backend technologies like Java or Scala, and API frameworks like GraphQL and gRPC. You understand how to design systems for high availability, performance, and maintainability at scale.</li>
<li>Full-Stack Familiarity: Familiar with modern frontend technologies (React, TypeScript, or similar) and their integration with backend services. While depth in one area (backend or frontend) is expected, the ability to understand and guide end-to-end system architecture is highly valued.</li>
</ul>
<p>If you are excited about enabling educators to create content that reaches hundreds of millions of learners around the globe, and you have the technical and leadership skills to drive a high-impact engineering team, we'd love to hear from you!</p>
<p><b>
If this opportunity interests you, you might like these courses on Coursera:</b></p>
<ul>
<li>Generative AI for Everyone</li>
<li>Generative AI Leadership and Strategy Specialization</li>
<li>Learning how to learn</li></ul><br>
<p></p>
<p>
#PL-1</p><div><div>
Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.</div>
<div></div>
<div>If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org.</div>
<div></div>
<div>For California Candidates, please review our CCPA Applicant Notice here.</div>
<div>For our Global Candidates, please review our GDPR Recruitment Notice here.</div></div></div>

Engineering Manager - Home Team

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency.
<br>
<br>
As an SDE on our team, you will drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on AWS&rsquo;s custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients.<br>
<br>
<br>
<br>
Key job responsibilities<br>
<ul><li>Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency
</li><li>LLM Customization &amp; Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF)
</li><li>Model Optimization on AWS Silicon: Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance
</li><li>Customer Collaboration: Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions<br>
</li></ul><br>
<br>
About the team<br>
ABOUT AWS:<br>
<br>
Diverse Experiences
<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS
<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Work/Life Balance
<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Inclusive Team Culture
<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
AWS Global Services<br>
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You&rsquo;ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference)</li><li>Hands-on experience with generative AI technology</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>1+ years of programming with at least one software programming language experience</li><li>1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Machine Learning Engineer, Model Customization, Generative AI Innovation Center

Blue Origin

<div><div>Application close date:</div>
Applications will be accepted on an ongoing basis until the requisition is closed.<div></div><div>
At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We&rsquo;re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!</div><div></div>
This role is part of Enterprise Technology (ET), where we&rsquo;re developing the digital infrastructure needed to build the road to space, with an emphasis on digital capabilities required to advance Blue Origin&rsquo;s mission. Enterprise Technology is the center of excellence for digital technology at Blue Origin, providing oversight and governance to align technology and business strategies.<div></div><div>
Join Blue Origin's manufacturing execution systems team as a Software Development Engineer II developing manufacturing execution solutions to drive efficiency throughout the factory. You will be a key member of a team supporting reusable rocket manufacturing by creating software to enable real-time analysis and decision-making. We are constantly innovating in the ways we are accelerating the delivery of products using groundbreaking software and hardware technologies. We use the latest AWS, Java, React, and GenAI platforms to build distributed, highly available systems to achieve our goals.</div><div></div><div>
We are looking for someone to apply their technical expertise, leadership skills, and dedication to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!</div><div></div><div>
Special Mentions:</div><ul><li>
Relocation provided</li><li>
Interviews will include a technical assessment included demonstrating knowledge of AI tools for software development</li><li>
Multiple positions available</li></ul><div></div><div>
Responsibilities:</div><ul><li>
Work as a fullstack engineer to develop and support applications that enable manufacturing teams to efficiently implement, track, and streamline build processes</li><li>
Contribute to the design, implementation, and deployment of successful enterprise-scale systems and services in support of operations and the businesses they support</li><li>
Leverage AI tools to enhance software development, improve automation, and drive innovation in enterprise applications.</li><li>
Drive improvements to Operational Excellence metrics for our team</li><li>
Take ownership, step in to help team members as needed, collaborate with team members to identify, and fix technical problems</li><li>
Create quality technical and user-facing documentation</li><li>
Participate in on-call rotation</li></ul><div></div><div>
Qualifications:</div><ul><li>
BA/BS in computer science, information science, or a related field, or equivalent experience in practice</li><li>
2+ years of non-internship professional software development experience, writing production code in at least one programming language</li><li>
Strong understanding of software engineering principles and the ability translate domain expertise into applications</li><li>
Either Java or JavaScript / TypeScript as a primary coding language</li><li>
Experience developing APIs and building applications on them in a production environment</li><li>
Experience with version control (Gitlab / Github) and CI/CD pipelines</li><li>
Experience with unit and e2e testing on Java or React</li><li>
Familiarity with SQL and database systems and use of REST or GraphQL APIs</li><li>
Ability to earn trust, maintain positive and professional relationships through outstanding interpersonal and communication skills</li></ul><div></div><div>
Desired:</div><ul><li>
Familiarity with Angular or Python coding language</li><li>
Previous use of AWS, Azure, or other cloud infrastructures</li></ul><div></div><div><br>
Compensation Range for:</div>
WA applicants is $134,961.00 - $188,945.40<div></div><div>
Other site ranges may differ</div><div></div><div>
Culture Statement</div><div>
Don&rsquo;t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</div><div></div><div>
Export Control Regulations</div><div>
Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.</div><div></div><div>
Background Check</div><ul><li><div>
Required for all positions: Blue&rsquo;s Standard Background Check</div></li><li><div>
Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation</div></li><li><div>
Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.</div></li><li><div>
Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical</div></li></ul><div></div><div>
Benefits</div><ul><li><div>
Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.</div></li><li><div>
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.</div></li><li><div>
Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.</div></li></ul><div></div><div>
Equal Employment Opportunity</div><div>
Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws.</div><div></div><div>
Affirmative Action and Disability Accommodation</div><div>
Applicants wishing to receive information on Blue Origin&rsquo;s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at <div>EEOCompliance@blueorigin.com</div>. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.</div><div></div><div>
California Applicant Privacy Notice</div><div>
If you are a California resident, please reference the CA Applicant Privacy Notice <div>here</div>.</div></div>

Software Development Engineer II

Explore 112+ Tech lead software engineer ai inference infrastructure in Seattle Wa Make 80 Hr 90 Hr Jobs In Washington this January. Find roles across top companies and apply now to boost your career.