application support engineer Jobs in Seattle

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principal product manager – data platform & developer operations Jobs in Seattle

principal product manager – data platform & developer operations

senior software engineer - infrastructure Jobs in Seattle

senior software engineer - infrastructure

senior software engineer, crypto Jobs in Seattle

senior software engineer, crypto

software dev engineer ii, startup team Jobs in Seattle

software dev engineer ii, startup team

software engineer product

Software Engineer, Product

SoFi

<p></p><div><div><div><h3 class="jobSectionHeader"><b>Description</b></h3>
<p><i>Position at SoFi</i>
</p><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&rsquo;re changing the way people think about and interact with personal finance.</p>
<p>
We&rsquo;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&rsquo;re at the forefront. We&rsquo;re proud to come to work every day knowing that what we do has a direct impact on people&rsquo;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><div>
Our team at SoFi is looking for a Senior Manager of Software Engineering to join our Loans Platform Division Servicing team. You will lead the development efforts and collaborate with a group of talented software engineers. With your leadership your team will directly release consumer facing features and platform capability to help grow the SoFii business to new records. Each team is empowered to make technical conclusions. You will collaborate with business and product leadership and solve a wide range of challenges. You will be involved in the entire product lifecycle, from ideation, coding, testing, deploying, monitoring, and supporting mission-critical systems. You will work with the engineers on your teams to help them grow their careers along the way, as well as helping mold and grow the next leaders on your teams.</div>
<div></div>
<div><b>About the Team:</b><br>
Our team empowers individuals and families to achieve their finanxial goals by offering a comprehensive range of platform capability to support different products. You will be at the heart of our technology efforts. You will implement new functionality, resolve bugs, maintain the health of our codebase, and continuously grow as an engineer. You will work closely with different platform teams, product teams that position us as market leaders in decision-making and speed.</div>
<div></div>
<div><b>What you&rsquo;ll do:</b></div>
<ul><li>Manage multiple teams of Engineers with the focus on improving overall customer acquisition, automation, and funding volumes.</li>
<li>You have and continue to demonstrate command of the technical and operational requirements of your role.</li>
<li>You successfully develop employees and help them grow within the organization.</li>
<li>You resolve employee-related issues professionally - occasionally escalating these issues to the next level of the organization.</li>
<li>You fully comprehend, effectively communicate, and enforce goals and objectives, feedback, measurable, and improvement plans.</li>
<li>Monitor and understand the key metrics governing your product area, with an eye toward continuously improving them through ongoing product innovation.</li>
<li>Establish product delivery timelines.</li></ul><br>
<p></p>
<div></div><div><b>What you&rsquo;ll need:</b></div>
<ul><li>Bachelor&rsquo;s Degree in a technical field</li>
<li>6+ years of Software Engineering experience</li>
<li>4+ years management experience</li>
<li>Deep programming experience, ideally on a modern distributed system.</li>
<li>Experience managing multiple teams of engineers, and coaching and growing leaders</li>
<li>Solid understanding of relational databases (MySQL or Postgres)</li>
<li>Experience working in a collaborative coding environment, refining designs together, working through code reviews and managing pull requests</li>
<li>Passion and expertise for tools and technology</li>
<li>Affinity for solving problems and shipping impactful features, not polishing perfect code or architecture</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&rsquo;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"><div><div>Pay range: $172,800.00 - $297,000.00</div><div>
Payment frequency: Annual</div><div>
This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above.</div></div><div><br>
</div><br>
<div></div>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<div><b>
. PDF File
</b></div></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>
<p><b>Internal Employees</b></p>
<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></div></div></div><p></p>

Senior Software Engineering Manager, Loans Platform

<p></p><div><div><div><h3 class="jobSectionHeader"><b>Description</b></h3>
<p><i>Position at SoFi</i>
</p><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&rsquo;re changing the way people think about and interact with personal finance.</p>
<p>
We&rsquo;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&rsquo;re at the forefront. We&rsquo;re proud to come to work every day knowing that what we do has a direct impact on people&rsquo;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>
The Role</p>
<p>
We are seeking a Senior Software Engineer to join our team. SoFi is building out a new team to develop crypto products and services for our members. Recent developments made a path for SoFi to begin to re-enter the space and expand on our product offerings with intuitive, secure and fully featured products across crypto Investing, Transfers, Payments, Custody and beyond.</p>
<p>
On our team, you will be in the middle of it all &ndash; implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution.</p>
<p>
At SoFi, you&rsquo;ll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members&rsquo; financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we expanded our products and services across loans, wealth management, and insurance. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you.</p>
<p>
Key responsibilities</p>
<ul>
<li>Lead the development and testing of system components/services, code and design reviews</li>
<li>Participate in shaping the technical architecture of the product</li>
<li>Help translate user stories into technical solutions</li>
<li>Deliver highly available and scalable services in a production environment</li>
<li>Mentor other engineers, support the technical culture, and help grow the team</li>
<li>Generate ideas for new initiatives and technologies</li>
<li>Communicate with project leads, product managers and other software developers</li>
</ul>
<p>Requirements</p>
<ul>
<li>Bachelor&rsquo;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>5+ years programming experience, ideally on a modern stack</li>
<li>Our core stack is React / Java / Spring / PostgreSQL, but you don't have to be an expert in any of these. 4+ years Java, Kotlin or Scala programming experience and an understanding of relational databases and ORMs suffices</li>
<li>Willingness to roll up your sleeves, collaborate with others and get stuff done</li>
<li>Strong sense of responsibility; driving a project from inception to completion</li>
<li>Affinity for solving problems and shipping impactful features, not polishing perfect code or architecture</li>
<li>Experience working in a collaborative coding environment (and git specifically), refining designs together, writing tests, working through code reviews and managing pull requests</li>
</ul>
<p>Nice to haves</p>
<ul>
<li>Understanding of blockchain fundamentals and distributed ledger technologies</li>
<li>Hands-on experience working with digital assets (e.g., Bitcoin, Ethereum, stablecoins)</li>
<li>Familiarity with custody, settlement, and clearing of crypto transactions</li>
<li>Knowledge of crypto-specific regulatory environments (e.g., SEC, CFTC, MiCA, etc.)</li>
<li>Exposure to crypto trading platforms, market data, and DeFi protocols</li>
<li>Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Zero Hash, Anchorage)</li>
<li>Awareness of Web3 trends, including NFTs, DAOs, and Layer 2 solutions</li>
<li>Prior work in or collaboration with crypto-native companies or fintechs</li>
<li>Comfort with cryptographic concepts such as wallets, keys, and signatures</li>
<li>Enthusiasm for the evolving digital asset ecosystem and its potential impact on financial services</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&rsquo;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"><div><div>Pay range: $128,000.00 - $240,000.00</div><div>
Payment frequency: Annual</div><div>
This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above.</div></div><div><br>
</div><br>
<div></div>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<div><b>
. PDF File
</b></div></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>
<p><b>Internal Employees</b></p>
<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></div></div></div><p></p>

Senior Software Engineer, Crypto

Expedia Group

<div><p>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.</p><p></p><p><b>
Why Join Us?</b></p><p>
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.</p><p></p><p>
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.</p><p></p><p><b>
Software Development Engineer II - Full Stack:</b></p><p></p><p>
Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.</p><p></p><p>
Expedia's Service Data team is seeking a skilled and enthusiastic Software Development Engineer proficient in data engineering and software development. This role entails designing, developing, and implementing batch and real-time ETL pipelines to generate domain datasets, providing essential insights to partners and decision-makers. Additionally, the role requires expertise in frontend and backend development to enhance user interfaces, delivering actionable insights to stakeholders. Collaborating across departments and organizational levels, the candidate will understand requirements, design solutions, and add value through an agile development approach.
</p><p></p><p>The ideal candidate will demonstrate technical and functional proficiency in building data streaming and backend applications from the ground up. Effective collaboration within cross-functional teams is crucial for successful project delivery. Key attributes for this role include an energetic attitude, innovative problem-solving skills, a passion for technology and data, excellent communication and relationship-building abilities, as well as adaptability in approach and design.
</p><p></p><p><b>In this role, you will:</b>
</p><ul><li><p>Join our development team and engage in all stages of the software development lifecycle, including requirements gathering, design, development, testing, deployment, and maintenance
</p></li><li><p>Address intricate business challenges using disciplined development methodologies, crafting scalable, flexible, and efficient solutions with suitable technologies
</p></li><li><p>Offer innovative and straightforward resolutions to complex issues, prioritizing execution and fostering a culture of experimentation and learning
</p></li><li><p>Produce clean, well-documented code to ensure clarity and maintainability
</p></li><li><p>Continuously refine our development and delivery processes to optimize efficiency and effectiveness.
</p></li><li><p>Contribute to a collaborative and supportive software development environment, fostering mutual learning and innovation through peer code reviews
</p></li><li><p>Provide guidance and mentorship to junior developers, aiding in their understanding and implementation of project methodologies
</p></li><li><p>Adapt to changing priorities and business requirements, remaining flexible in approach and willing to learn new technologies and methodologies as needed
</p></li><li><p>Possess excellent communication skills, effectively conveying ideas to colleagues and stakeholders, while providing thorough explanations of approaches. Maintain comprehensive documentation to ensure clarity and transparency
</p></li><li><p>Demonstrated capability to collaborate effectively across peers, leaders, and various business units
</p></li><li><p>Derive satisfaction from and value the collective achievements of the team
</p></li></ul><p></p><p><b>Minimum qualifications:</b>
</p><ul><li><p>Bachelor&rsquo;s degree in Business, Computer Science, Information Systems, or equivalent relevant professional experience.</p></li><li><p>
2+ years of experience in data engineering and software development</p></li><li><p>
Experience in Agile methodology is essential, with the capacity to work under pressure and meet deadlines with quality
</p></li><li><p>Experience with relational databases and NoSQL distributed databases (e.g. ScyllaDB, MongoDB)
</p></li><li><p>Proficiency in a development language such as Python, Scala, Kotlin, or similar
</p></li><li><p>Knowledge of stateful stream processing (e.g. Faust, Java KafkaConsumer, KafkaProducer and KafkaStreams)
</p></li><li><p>Familiarity with frontend and backend development frameworks and libraries, such as React.js, Node.js or similar
</p></li><li><p>Experience with version control systems such as Git</p></li></ul><p></p><p><b>
Preferred qualifications:</b></p><ul><li><p>
High level of technical expertise, adept at problem-solving and applying critical thinking
</p></li><li><p>Solid grasp of software design principles, algorithms, and data structures
</p></li><li><p>Previous experience with distributed systems and fault tolerance development
</p></li><li><p>Experience with AWS Cloud technology for scalability and reliability
</p></li><li><p>Experience with Apache Spark, Spring Framework and Confluent Kafka
</p></li><li><p>Experience with continuous integration/continuous deployment (CI/CD) pipelines</p></li></ul><p></p>
The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.<p></p><p>
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.</p><p></p><p>
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.</p><p></p><p><b>
Accommodation requests</b></p><p>
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.</p><p></p><p>
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.</p><p></p><p>
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50</p><p></p><p>
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.</p><p></p>
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Software Development Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Trusted by more startups around the world, AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the world&rsquo;s largest companies. With nearly two decades of experience supporting hundreds of thousands of startups, including 80% of unicorns, we democratize cloud computing to help founders bring their innovative ideas to life.<br>
<br>
We're seeking an experienced Software Development Engineer who wants to change the way we help Startups get started and grow on AWS. We strive to bring new tools, features, and innovations to the Startup community. We are building applications that will use modern architectures, new services patterns, and exciting technologies to ensure we are meeting our customers expectations for performance, availability, and features.<br>
<br>
In this role, you&rsquo;ll be responsible for developing and productionizing software that is stable, performant and scalable. You will ensure that software is delivered on time, directly addresses needs and customer pain-points. With minimal guidance, you will prioritize the correct work, and focuses on solving complex, ambiguous problems in both existing and new software initiatives through the application of appropriate technologies and best practices. You will make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. Success in this role means implementing data-driven product improvements and designing intuitive, scalable solutions that enhance the startup customer experience.<br>
<br>
The ideal candidate holds high technical standards for the themselves and their teammates, helps their team evolve by actively participating in code reviews, mentorships, and design discussions. They constructively identify problems, bottlenecks, and weakness within the system and propose solutions. They demonstrate personal ownership over, or vocally advocates for, projects and software enhancements that improve team processes and products. They have experience working with AI/ML technologies, and a strong track record of launching successful products using data-driven decision-making skills.<br>
<br>
On the Startup Team, you'll play a crucial role in democratizing cloud technology for startups worldwide, working with AWS's comprehensive startup resources including AWS service credits, technical training, startup events, exclusive offers, and personalized growth plans. Join us in leveling the playing field for startup founders globally by creating products that make world-changing ideas possible.<br>
<br>
Key job responsibilities<br>
<ul><li>Design, develop, and maintain scalable software solutions that meet business requirements and customer needs</li><li>Lead technical solutions from conception through deployment, including architecture decisions and implementation strategies</li><li>Participate in full software development lifecycle, including requirement analysis, design, development, testing, deployment, and operations</li><li>Collaborate with cross-functional teams including Product Managers, Technical Program Managers, and other engineering teams</li><li>Mentor junior engineers and contribute to improving team's technical practices</li><li>Write high-quality, well-tested code following best practices and coding standards</li><li>Participate in code reviews and contribute to technical documentation</li><li>Drive operational excellence through monitoring, troubleshooting, and continuous improvement</li></ul><br>
About the team<br>
About the team<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 flexible work hours and arrangements are part of our 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>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<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>
Internal job description</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience</li><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>3+ years of programming experience with at least one modern language such as Java, Python, C++, C#, Typescript including object-oriented design.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science or equivalent</li><li>1+ years of experience in AI/ML engineering, working on agent systems or LLM applications.</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>
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 Dev Engineer II, Startup Team

Apple

<div>Would you like to be a part of Apple&rsquo;s AI and Machine Learning org, where we encourage and create groundbreaking technology for multi-modal models with strong agent and reasoning capabilities? The Data and Machine Learning Innovation (DMLI) team is seeking a passionate Machine Learning Engineer to explore new methods, challenge existing metrics and protocols, and develop new insightful practices for real-world ML challenges. As a team member, you will work on some of the most ambitious technical challenges in the field. Your role will involve collaborating closely with our team of machine learning researchers, engineers, and data scientists. Together, you will spearhead groundbreaking research initiatives and develop transformative products designed to build for billions of users worldwide.<br>
<br>
<b>Description</b><br>
<br>
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying innovative research in foundation models to with a particular focus on audio data. This includes working across the full ML pipeline-from pre-training on large-scale unlabeled audio corpora to post-training evaluation and fine-tuning with task-specific datasets. The solutions you develop will have a significant impact on future Apple software and hardware products, as well as the broader ML ecosystem. Your responsibilities will extend to designing and developing a comprehensive multi-modal data generation and curation framework for foundation models at Apple. You will also contribute to building robust model evaluation pipelines that support continuous improvement and performance assessment. In addition, the role involves analyzing multi-modal data to better understand its influence on model behavior and outcomes. Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. YOUR WORK MAY SPAN VARIOUS APPLICATIONS, INCLUDING: Designing self-supervised and semi-supervised representation learning pipelines, and fine-tuning strategies for tasks like speech recognition and speaker identification. Applying data selection techniques such as novelty detection and active learning across multi modalities to improve data efficiency and reduce distributional gaps. Modeling data distributions using ML/statistical methods to uncover patterns, reduce redundancy, and handle out-of-distribution challenges. Rapidly learning new methods and domains as needed, and guiding product teams in selecting effective ML solutions.<br>
<br>
<b>Minimum Qualifications</b><br>
<ul><li>
Deep technical skills in one or more machine learning areas, such as computer vision, audio, combinatorial optimization, causality analysis, natural language processing, and deep learning.</li><li>
Strong software development skills with proficiency in Python; hands-on experience working with deep learning toolkits like PyTorch, TensorFlow, or JAX (one of).</li><li>
5+ years of experience developing and evaluating ML applications, demonstrating a passion for understanding and improving model/data quality.&lsquo;</li></ul><br>
<b>
Preferred Qualifications</b><br>
<ul><li>
Deep understanding of multi-modal foundation models.</li><li>
Staying up-to-date with emerging trends in generative AI and multi-modal LLMs.</li><li>
The ability to formulate machine learning problems, design, experiment, implement, and communicate solutions effectively with multi-functional teams.</li><li>
Demonstrated publication records in relevant conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.).</li><li>
Track records of adopting ML to solve cross-disciplinary problems.</li></ul><br>
<b>
Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
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Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
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Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.<br>
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Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
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AIML - Sr Machine Learning Engineer - Data and ML Innovation

Uber

<div><b>About the Role</b>
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Have you ever ordered a car service on Uber, and when the ride arrives, wondered how it got to you so fast? Ever ordered food on UberEats and wondered where the driver was before receiving your order and how long it took to get to the restaurant or if your order was ready when the courier arrived? Ever wondered why your grocery delivery from Uber always has the best apple picked?
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If so, Uber is for you. In our ML and Science division, we strive to make magic within Uber's marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost-efficient marketplace for matching supply and demand. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace.
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We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery. We work with millions of earners across the globe to make this magic happen and want you to join us!
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<b>About the Team</b>
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Earners (drivers and couriers) are an integral part of Uber's multi-sided marketplace. They provide the time and the means to move people and things. Importantly, they enable the connection between the physical and digital world to make the movement happen at the push of a button for everyone, everywhere.
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Within Uber, Earner Growth plays a critical role in earners' journey as the team is responsible for earner onboarding, activation, early life cycle, and resurrection. This presents the teams with the opportunity to shape and tailor the product experience during earners' many firsts (i.e., first time interacting on the Uber platform, choosing the earning opportunity, going online, receiving incentive offers, completing a trip, or reading the earnings summary). These firsts can be daunting.
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Therefore, making sure that the earner journey is great at every touch point is important to build trust with Earners, communicate Uber's value proposition, and ensure each firsts to be a great experience.
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<b>What You'll Do</b>
<ul><li>Build statistical, optimization, and machine learning models
</li><li>Develop innovative new earner incentives that earners for choosing our network and optimizing Uber's new earner incentives spend
</li><li>Optimize Uber's background check spend and onboarding funnel
</li><li>Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
</li><li>Develop matching algorithms for driver to driver mentorship program
</li><li>Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
</li><li>The team employs a variety of ML/AI techniques, spanning from causal ML meta learners, supervised ML, RL multi-armed bandits, genAI LLM to deep learning embeddings to build impactful data products.
</li><li>Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.
</li><li>Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product.
</li></ul><b>Basic Qualifications</b>
<ul><li>PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
</li><li>4 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling.
</li><li>Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++).
</li><li>Experience with any of the following: Spark, Hive, Kafka, Cassandra.
</li><li>Experience building and productionizing innovative end-to-end Machine Learning systems.
</li><li>Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design.
</li><li>Experience working with cross-functional teams(product, science, product ops etc).
</li></ul><b>Preferred Qualifications</b>
<ul><li>5+ years of industry experience in machine learning, including building and deploying ML models.
</li><li>Publications at industry recognized ML conferences.
</li><li>Experience in modern deep learning architectures and probabilistic modeling.
</li><li>Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, causal ML meta learners, genAI LLM.
</li>Expertise in the design and architecture of ML systems and workflows.<br>
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For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr. Machine Learning Engineer, Earner Growth

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