associate machine learning engineer Jobs in Seattle

associate machine learning engineer

co-founder & ceo - ai gtm agents for smbs Jobs in Seattle

co-founder & ceo - ai gtm agents for smbs

machine learning engineer, model customization, generative ai innovation center Jobs in Seattle

machine learning engineer, model customization, generative ai innovation center

product designer, ml tooling Jobs in Seattle

product designer, ml tooling

senior full-stack engineer, ai financial actions & recommendations Jobs in Seattle

senior full-stack engineer, ai financial actions & recommendations

machine learning engineer model customization generative ai innovation center

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
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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>
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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

PitchBook

<div><div><p>At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.</p>
<p>
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
</p><p>If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.</p></div><p></p>
<p><b>
About the Role:</b></p>
<p>
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.</p>
<p>
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!</p>
<p>
As a Senior Machine Learning Engineer (MLE) on the AI &amp; ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.</p>
<p>
You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy.</p>
<p>
Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources, and applying ML to enrich our datasets with predictive and generative intelligence. As a senior engineer, you will take ownership of key technical components and ensure that our systems meet the highest standards of performance, reliability, and security.</p>
<p><b>
Primary Job Responsibilities:</b></p>
<ul>
<li>Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities</li>
<li>Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards</li>
<li>Support a culture of technical excellence by mentoring peers, sharing knowledge, and participating in code and design reviews. Promote innovation and continuous improvement through collaborative engineering practices</li>
<li>Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams</li>
<li>Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals</li>
<li>Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook's AI capabilities</li>
<li>Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects</li>
<li>Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices</li>
<li>Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles</li>
<li>Support the vision and values of the company through role modeling and encouraging desired behaviors</li>
<li>Participate in various company initiatives and projects as requested</li>
</ul>
<p><b>Skills and Qualifications:</b></p>
<ul>
<li>Bachelor's or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field, advanced degree preferred</li>
<li>6+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction</li>
<li>Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch</li>
<li>Experience delivering production-grade GenAI or LLM-based systems with measurable business impact</li>
<li>Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus</li>
<li>Deep proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake</li>
<li>Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus</li>
<li>Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes</li>
<li>Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions</li>
<li>Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams</li>
<li>Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage</li>
<li>Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred</li>
<li>Must be authorized to work in the United States without the need for visa sponsorship now or in the future</li>
</ul>
<p><b>Benefits + Compensation at PitchBook:</b></p>
<p>
Physical Health</p>
<ul>
<li>Comprehensive health benefits</li>
<li>Additional medical wellness incentives</li>
<li>STD, LTD, AD&amp;D, and life insurance</li>
</ul>
<p>Emotional Health</p>
<ul>
<li>Paid sabbatical program after four years</li>
<li>Paid family and paternity leave</li>
<li>Annual educational stipend</li>
<li>Ability to apply for tuition reimbursement</li>
<li>CFA exam stipend</li>
<li>Robust training programs on industry and soft skills</li>
<li>Employee assistance program</li>
<li>Generous allotment of vacation days, sick days, and volunteer days</li>
</ul>
<p>Social Health</p>
<ul>
<li>Matching gifts program</li>
<li>Employee resource groups</li>
<li>Subsidized emergency childcare</li>
<li>Dependent Care FSA</li>
<li>Company-wide events</li>
<li>Employee referral bonus program</li>
<li>Quarterly team building events</li>
</ul>
<p>Financial Health</p>
<ul>
<li>401k match</li>
<li>Shared ownership employee stock program</li>
<li>Monthly transportation stipend</li>
</ul>
<ul><li><i>Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.</i></li></ul>
<p>
Compensation</p>
<ul>
<li>Annual base salary: $170,000-$240,000</li>
<li>Target annual bonus percentage: 10%</li>
</ul>
<p><b>Working Conditions:</b></p>
<p>
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments&mdash;those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices&mdash;that simply can't be replicated remotely. This role is expected to be in the office 5 days a week.</p>
<p>
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.</p>
<p>
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.</p>
<p>
#LI-MS1</p>
<p>
#LI-Onsite</p></div><p></p>

Sr. Machine Learning Engineer

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

<p></p><div><p><b>Job ID</b> 2025-14498</p>
<p><b>Date posted</b> Jan. 08, 2026</p>
<p><b>Location</b> Seattle, Washington
</p><p><b>Category</b> Research, Design Engineering</p></div><p></p>
<br><div><p>Job Overview:</p><p></p><p>
Arm provides the foundational compute architecture for billions of devices, spanning microcontrollers, smartphones, laptops, and cloud servers. As machine learning increasingly moves to the edge, developers depend on Arm to deliver intuitive, efficient, and scalable AI deployment experiences. Our ML tooling teams build the products that help developers design, optimize, and deploy machine learning models across Arm-based devices - impacting millions of users who rely on Arm to power the next generation of AI solutions.</p><p></p><p>
As a Product Designer for ML Tooling, you&rsquo;ll work at the intersection of design, AI, and developer experience. Collaborating closely with researchers, engineers, and product managers, you will transform deeply technical workflows into intuitive, empowering tools that support the entire ML journey - from model creation to optimization and deployment. Your designs will simplify complexity, accelerate innovation, and shape how developers build AI on Arm.</p><p></p><p>
Responsibilities:</p><ul><li><p>
Lead the end-to-end experience design of Arm&rsquo;s ML tooling, creating cohesive workflows across data preparation, model optimization, validation, and deployment.</p></li><li><p>
Collaborate closely with researchers and engineers to understand complex technical processes, identifying opportunities to simplify workflows and supporting user research with ML engineers and developers.</p></li><li><p>
Define hypotheses and success metrics, align user outcomes with business goals, and partner with engineering to measure product impact.</p></li><li><p>
Design at multiple levels of fidelity&mdash;from service blueprints and interaction flows to high-fidelity prototypes&mdash;and contribute to evolving Arm&rsquo;s design system for ML-focused interfaces and visualizations.</p></li><li><p>
Foster a design-led culture within technical teams by facilitating workshops, sharing insights, and integrating design thinking into engineering workflows.</p></li></ul><p></p><p>
Required Skills and Experience :</p><ul><li>
Strong interest and experience in machine learning, AI, or data science.</li><li>
A portfolio highlighting design for complex technical or developer-focused products, such as ML tools, IDEs, CLIs, data platforms, and engineering workflows.</li><li>
Demonstrated ability to translate highly technical concepts into intuitive user experiences for developers, using systems design and service blueprinting techniques.</li><li>
Experience leading the UX of a product from concept through delivery and iteration, collaborating with product and engineering colleagues.</li></ul><p>
&ldquo;Nice To Have&rdquo; Skills and Experience :</p><ul><li>
Familiarity with developer experience and command-line, code, or workflow-based tools.</li><li>
Contributions to design systems for enterprise or technical applications.</li></ul><div><p>
Salary Range:</p><p>
$202,300-$273,700 per year</p><p>
We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.</p></div><p>
Accommodations at Arm</p><p>
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.</p><p>
Hybrid Working at Arm</p><p>
Arm&rsquo;s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team&rsquo;s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.</p><p>
Equal Opportunities at Arm</p><p>
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don&rsquo;t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</p></div>

Product Designer, ML Tooling

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

<div><div><p>At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.</p>
<p>
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
</p><p>If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.</p></div><p></p>
<p><b>
About the Role:</b></p>
<p>
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.</p>
<p>
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!</p>
<p>
PitchBook's Associate Machine Learning Engineer is responsible for using machine learning, statistical modeling, and Natural Language Processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role requires curiosity and a strong desire to learn. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.</p>
<p><b>
Primary Job Responsibilities:</b></p>
<ul>
<li>Use natural language processing (NLP) and machine learning techniques to create novel views of private industry data</li>
<li>Analyze and extract features from large amounts of unstructured data, determine most relevant features, and use clustering algorithms to drive insight into the data</li>
<li>Analyze textual data such as articles and conversations to identify novel signals of private company performance</li>
<li>Work closely with Product and Engineering teams to establish scalable, efficient, and automated processes for large scale data analyses and models</li>
<li>Contribute to thought leadership on Data Science and Machine Learning best practices by staying informed of current trends in industry</li>
<li>Support the vision and values of the company through role modeling and encouraging desired behaviors</li>
<li>Participate in various company initiatives and projects as requested</li>
</ul>
<p><b>Skills and Qualifications:</b></p>
<ul>
<li>Bachelor's degree in Computer Science, Machine Learning, Statistics, or related field</li>
<li>Experience in a similar role in a production environment</li>
<li>Experience or exposure with natural language processing (NLP)</li>
<li>Experience or exposure with Python, R, or other relevant programming frameworks</li>
<li>Experience or exposure in using SQL for data extraction</li>
<li>Strong communication and data presentation skills</li>
<li>Strong problem-solving ability</li>
<li>Ability to communicate complex analysis in a clear, precise, and actionable manner</li>
<li>Experience working closely a with software development team(s) a plus, but not required</li>
<li>Financial services, investment, banking, venture capital and/or private equity knowledge, but not required</li>
<li>Must be authorized to work in the United States without the need for visa sponsorship now or in the future</li>
</ul>
<p><b>Benefits + Compensation at PitchBook:</b></p>
<p>
Physical Health</p>
<ul>
<li>Comprehensive health benefits</li>
<li>Additional medical wellness incentives</li>
<li>STD, LTD, AD&amp;D, and life insurance</li>
</ul>
<p>Emotional Health</p>
<ul>
<li>Paid sabbatical program after four years</li>
<li>Paid family and paternity leave</li>
<li>Annual educational stipend</li>
<li>Ability to apply for tuition reimbursement</li>
<li>CFA exam stipend</li>
<li>Robust training programs on industry and soft skills</li>
<li>Employee assistance program</li>
<li>Generous allotment of vacation days, sick days, and volunteer days</li>
</ul>
<p>Social Health</p>
<ul>
<li>Matching gifts program</li>
<li>Employee resource groups</li>
<li>Subsidized emergency childcare</li>
<li>Dependent Care FSA</li>
<li>Company-wide events</li>
<li>Employee referral bonus program</li>
<li>Quarterly team building events</li>
</ul>
<p>Financial Health</p>
<ul>
<li>401k match</li>
<li>Shared ownership employee stock program</li>
<li>Monthly transportation stipend</li>
</ul>
<ul><li><i>Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.</i></li></ul>
<p>
Compensation</p>
<ul>
<li>Annual base salary: $110,000-$150,000</li>
<li>Target annual bonus percentage: 7.5%</li>
</ul>
<p><b>Working Conditions:</b></p>
<p>
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments&mdash;those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices&mdash;that simply can't be replicated remotely. This role is expected to be in the office 5 days a week.</p>
<p>
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.</p>
<p>
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.</p>
<p>
#LI-MS1</p>
<p>
#LI-Onsite</p></div><p></p>

Associate Machine Learning Engineer

Amazon.com

<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

Explore 87+ Machine learning engineer model customization generative ai innovation center in Seattle this January. Find roles across top companies and apply now to boost your career.