software engineer

data engineer

machine learning engineer Jobs in San Francisco

machine learning engineer

senior data engineer Jobs in San Francisco

senior data engineer

senior front-end engineer Jobs in San Francisco

senior front-end engineer

senior lead software engineer

Realign

<div>San Francisco, California 94016 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Contract</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Role: Sr. AI/ML Engineer</b></p><ul><li> <b>Experience</b> &ndash; 10+ Years</li><li> <b>Location</b> - San Francisco, CA &ndash; LOCALS Only</li></ul><div><b>
Required Qualifications</b><br>
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications<br>
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul><br>
<b>
Roles &amp; Responsibilities</b><br>
<b>Role Overview</b><br>
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div><b><br>
Key Responsibilities</b><br>
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Sr. AI/ML Engineer-6

General Motors (GM)

<div><p><b>Job Description
</b></p><div><p><b>About Us<br>
</b></p></div><p></p><div><p>GM is developing the next generation of embedded platform software to deliver state-of-the-art ADAS features to our customers.<br>
</p></div><p></p><div><p>The Autonomy Interface SW (AIS) team is responsible for building runtime software that enables robust interface contracts, system degradation transitions, and seamless sensing integration with the autonomy stack .<br>
</p></div><p></p><div><p><b>The Role
</b></p></div><p></p><div><p>As a Senior Software Engineer, you&rsquo;ll be responsible for designing, documenting, and implementing complex, highly scalable, low-latency software in C++ on Linux-based systems for the AIS team. Your work will be the foundational software which the rest of GM&rsquo;s AV stack is built upon for safety-critical , performance-sensitive functions including but not limited to vehicle actuation controls/feedback interfaces, vehicle moding controls, etc. across the GM vehicle platforms.<br>
</p></div><p></p><div><p>If you are looking to solve one of today&rsquo;s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world, join us.<br>
</p></div><p></p><div><p><b>What </b><b>you&rsquo;ll </b><b>be doing (Responsibilities)
</b></p></div><div><ul><li><p>Develop software in C++ to interface with the autonomy stack with the other compute, sensors and custom hardware on the vehicle
</p></li></ul></div><div><ul><li><p>Improve and deliver reliable software through requirements generation, continuous integration, automated testing, issue tracking, and code reviews
</p></li></ul></div><div><ul><li><p>Collaborate with colleagues across multiple teams and mentor other developers
</p></li></ul></div><div><ul><li><p>Lead and generates technical solutions including specifying of requirements, functional decomposition, analysis, development and testing for current, new and major programs
</p></li></ul></div><div><ul><li><p>Performs as Subject Matter Expert (SME) for at least one platform or application component
</p></li></ul></div><div><ul><li><p>Provide, communicate, and support common best practices among software community
</p></li></ul></div><div><ul><li><p>Lead development of software system team design content and software anomaly corrections.
</p></li></ul></div><div><ul><li><p>Knowledge of and experience applying software best practices
</p></li></ul></div><div><ul><li><p>Being able to specify and balances system requirements
</p></li></ul></div><p></p><div><p><b>Your Skills &amp; Abilities (Required Qualifications)
</b></p></div><div><ul><li><p>4+ years' experience building and shipping production-quality software, with a focus in Linux based environments
</p></li></ul></div><div><ul><li><p>Bachelor's, Master's, or PHD in relevant field or relevant work experience.
</p></li></ul></div><div><ul><li><p>Experience with C++ (17+), STL, and Python3
</p></li></ul></div><div><ul><li><p>Experience working with and building tooling for large, complex systems
</p></li></ul></div><div><ul><li><p>A high standard and commitment to quality by designing for maintainability, testability and efficiency
</p></li></ul></div><p></p><div><p><b>What Will Give You </b><b>a </b><b>Competitive Edge (Preferred Qualifications)
</b></p></div><div><ul><li><p>7+ years' experience building and shipping production-quality software, with a focus in Linux based environments
</p></li></ul></div><div><ul><li><p>Experience with safety critical development (FDA, FAA, Automotive)
</p></li></ul></div><div><ul><li><p>Experience with build tools like bazel or cmake
</p></li></ul></div><div><ul><li><p>Experience debugging across cloud and embedded systems
</p></li></ul></div><div><ul><li><p>Experience with ARXML or/and SOME/IP
</p></li></ul></div><div><ul><li><p>Experience with networking, TCP/ IP and UDP.
</p></li></ul></div><div><ul><li><p>Building and shipping production-quality software on and for embedded Linux / POSIX systems
</p></li></ul></div><div><ul><li><p>Experience working with ROS or similar pub/ sub IPC systems
</p></li></ul></div><div><ul><li><p>Leads and generates technical solutions including specifying of requirements, functional decomposition, analysis, development and testing for current, new and major programs
</p></li></ul></div><div><ul><li><p>Lead development of software system team design content and software anomaly corrections.
</p></li></ul></div><div><ul><li><p>Performs complex design analysis
</p></li></ul></div><div><ul><li><p>Being able to balance system requirements
</p></li></ul><p></p><p><b>Compensation: </b>The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
</p><ul><li><p><b>The salary range for this role: </b>is $125,000 to $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
</p></li></ul><ul><li><p><b>Bonus Potential: </b>An incentive pay program offers payouts based on company performance, job level, and individual performance.
</p></li><li><p><b>Benefits: </b>GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation &amp; holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
</p></li></ul><p></p><p>#GM-AV-1
</p></div>&amp;#xa;&amp;#xa;&amp;#xa;&amp;#xa;This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.&amp;#xa;&amp;#xa;The selected candidate will be required to travel &lt;25% for this role.&amp;#xa;&amp;#xa;
<p><b>About GM
</b></p><p>Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
</p><p></p><p><b>Why Join Us
</b></p><p>We believe we all must make a choice every day &ndash; individually and collectively &ndash; to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
</p><p></p><p><b>Benefits Overview
</b></p><p>From day one, we're looking out for your well-being&ndash;at work and at home&ndash;so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting <b>Total Rewards resources </b>.
</p><p></p><p><b>Non-Discrimination and Equal Employment Opportunities (U.S.)
</b></p><p>General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
</p><p></p><p>All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
</p><p></p><p>We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit <b>How we Hire </b>.
</p><p></p><p><b>Accommodations
</b></p><p>General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, <b>email </b>us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.</p></div><p></p>

Senior Software Engineer

SS&C

<div><div>As a leading financial services and healthcare technology company based on revenue, SS&amp;C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&amp;C for expertise, scale, and technology.</div><div></div><div>
Job Description</div><div></div><div>
Lead Data Engineer (SS&amp;C Technologies, Inc.; San Francisco, CA): The Lead Data Engineer is based at SS&amp;C&rsquo;s office in San Francisco, CA with a telecommuting benefit. The incumbent must reside within commuting distance from SS&amp;C&rsquo;s San Francisco office. The Data Engineer will join a team that creates a leading cloud platform with the latest big data, cloud native and machine learning technologies. Specific responsibilities will include: Build and implement models in a production environment for a revenue-driving product; Create and maintain overall optimal data pipeline architecture; Assemble large, complex data sets that meet functional / non-functional business requirements; Manage data migrations/conversions and troubleshooting data processing issues; Create the pipeline for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources; Build large scale data platform infrastructures to power other products; Lead a squad (feature team) to deliver strategic client features including data movement and data synchronization; and Work with other architect engineers to propose architecture designs that will solve a business problem with bigger impact and reduce technical debts in the long run.</div><div></div><div>
Minimum requirements: Master&rsquo;s degree or foreign equivalent in Computer Science, Data Analytics, Information Technology Management, or related field, plus 3 years of pre- or post-Master&rsquo;s experience in any occupation in which the required experience is gained.</div><div></div><div>
Alternate Education and Experience: Bachelor&rsquo;s degree or foreign equivalent in Computer Science, Data Analytics, Information Technology Management, or related field, plus 6 years of experience in any occupation in which the required experience is gained.</div><div></div><div>
Must have: Master programming skills in Python and SQL. Deep knowledge of big data platforms technologies including Spark, Hive, Airflow, Data Hub, Delta Lake or Iceberg. Strong algorithm &amp; data structure basis. Experience leading a team technically to deliver large business features. Great architecture principles and decision-making skills. Strong problem-solving skills with a can-do attitude. Great software engineering best practices with git and version control systems. Solid communication skills to explain complex data pipelines to both technical and non-technical people. Excellent writing and documenting skills.</div><div></div><div>
Salary: $194,834.00 to $210,000.00 per year.</div><div></div><div>
Apply online at <div>https://www.ssctech.com/about-us/careers</div> or send resume to: Angela Lamar, Talent Acquisition, SS&amp;C Technologies, Inc., <div>alamar@sscinc.com</div>. Ref: 00087619. An EOE.</div><div></div><div>
#LI-DNI</div><div></div><div>
Unless explicitly requested or approached by SS&amp;C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.</div>
SS&amp;C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan.<div>
SS&amp;C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.</div><div></div>
Salary is determined by various factors including, but not limited to, relevant work experience, job related knowledge, skills, abilities, business needs, and geographic regions.<div></div>
California: Salary range for the position: 194,834 USD to 210,000 USD.</div><div></div>

Lead Data Engineer (SS&C Technologies, Inc.; San Francisco, CA): Ref 00087619

Maximus Health

<p></p><div><p><b>Fully Remote (North America / South America)</b></p><ul><li><p><b>
There is 1 opening, posted to multiple locations.</b></p></li></ul><p><b>
No agencies.
</b></p><p></p><h1 class="jobSectionHeader"><b>About Maximus</b></h1><p>
Maximus (https://www.maximustribe.com/) is a mission-driven consumer performance medicine telehealth company that provides men and women with content, community, and clinical support to optimize their health, wellness, and hormones. Maximus has achieved profitability, 8-figure ARR, and is doubling year over year - with a strong cash position. We have raised $15M from top Silicon Valley VCs such as Founders Fund and 8VC as well as leading angel investors/operators from companies like Bulletproof, Tinder, Coinbase, Daily Stoic, &amp; Shopify.</p><p>
We also offer Maximus Labs, a standalone biomarker testing subscription that doubles as an acquisition channel into our telemedicine protocols. We're targeting 2x customer growth this year and need a Growth Lead who can build the acquisition engine that gets us there.</p><p>
We're capital-efficient and compete against Hims, Hone, Keeps, and Fella by being better at the product, not louder with ad spend. Our growth strategy is conversion-driven: make the signup-to-checkout funnel so good that paid channels become more efficient by default.</p><p></p><h1 class="jobSectionHeader"><b>
About the Role</b></h1><p>
We are looking for a strong Lead Engineer (Tech Lead) to lead our Growth engineering team. You will be splitting your time roughly 50/50 between management and coding. You own the lower acquisition funnel, from flow start through checkout, across all Maximus protocols.</p><p>
Your north star metric is Flow Start to Checkout CVR. You also carry an M1 Retention guardrail, which means you can't optimize for conversion at the expense of user quality. Every experiment you ship has a built-in quality check.</p><p>
You will manage a small team of engineers and work directly with a Sr. PM and Sr. Designer. You will report directly to the Head of Engineering.</p><p></p><h1 class="jobSectionHeader"><b>
Why this role and join us?:</b></h1><ul><li><p><b>
Impact: </b>Set the technical direction for how Maximus acquires customers, run experiments that directly move revenue, and build a team that compounds learning over time. The Growth team's output is visible in the company's top-line numbers every month.</p></li><li><p><b>
First 90 days: </b>Complete BNPL migration to Klarna across all protocols</p></li><li><p><b>
First 2 Quarters:</b> Launch a new activation satisfaction survey for our retention guardrail and build cohort-level experiment tracking</p></li><li><p>
Maximus is at the stage where the acquisition engine needs a dedicated engineering leader who stays with the problem long enough to compound results. If you want to own that end to end, with real authority and real accountability, this is the role for you.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What you will do (Key Responsibilities):</b></h1><ul><li><p>
Deliver protocol-level A/B experiments on signup flows, checkout, plan pricing, and product recommendations using Amplitude</p></li><li><p>
Ship full-stack features across the acquisition funnel in Rails and React</p></li><li><p>
Coach and develop your engineering team through regular 1:1s, pair programming, code reviews, and career conversations</p></li><li><p>
Own experiment design, including sample sizing, metric selection, and the CVR-vs-retention tension that comes with a dual mandate</p></li><li><p>
Iterate and continuously optimize plan and pricing architecture, including payment platform integrations</p></li><li><p>
Build and maintain the experimentation infrastructure your team runs on</p></li><li><p>
Partner with data engineering to instrument cohort-level M1 retention tracking per experiment</p></li><li><p>
Drive adoption of AI-assisted development across the team, using tools like Claude Code and Devin to increase shipping and development velocity</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Our Tech Stack:</b></h1><ul><li><p>
Ruby on Rails 7 / Ruby 3.3, React 18 / TypeScript 5.4 (required)</p></li><li><p>
Event-sourced architecture with command pattern</p></li><li><p>
PostgreSQL, Redis, Delayed Job for background processing</p></li><li><p>
Stripe and Klarna for payments and installment plans</p></li><li><p>
Amplitude for experimentation and analytics, Segment for event collection</p></li><li><p>
Redux with redux-loop and Immutable.js on the frontend</p></li><li><p>
Docker, AWS/GCP, Aptible, GitHub Actions CI/CD</p></li><li><p>
Cypress for E2E testing</p></li><li><p>
AI-assisted development: Claude Code and Devin for agentic coding</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What we are looking for (Qualifications):</b></h1><ul><li><p>
You've led a team of 4-8 engineers before, with direct reports you grew and retained</p></li><li><p>
You've shipped and measured growth experiments in a subscription product (signup funnels, checkout optimization, pricing and plan architecture)</p></li><li><p>
You write production Ruby on Rails and React code and expect to keep doing so (strongly preferred). Javascript (Node), Python are also acceptable.
</p></li><li><p>You can design an experiment, pick the right metric, set a sample size, and explain the trade-offs to a PM who wants to ship faster</p></li><li><p>
You think in funnels and cohorts, not just features</p></li><li><p>
You're comfortable with event-sourced systems or similar architectural patterns where state is derived from event streams</p></li><li><p>
You use agentic AI coding tools (Claude Code, Devin, Cursor, or similar) in your daily workflow and have opinions about how to integrate them into a team's development process</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to have (strongly preferred):</b></h2><ul><li><p>
Experience with healthcare, wellness, or regulated subscription commerce</p></li><li><p>
Familiarity with Stripe billing, Klarna, or similar payment platform integrations</p></li><li><p>
Experience building or managing Amplitude (or LaunchDarkly, Optimizely, etc.) experimentation infrastructure</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
How we work:</b></h1><ul><li><p>
Remote, Americas-based (team is distributed across US and Latin America time zones)</p></li><li><p>
Two-week sprints with PM, Design, and Tech Lead driving prioritization together</p></li><li><p>
Ship and deploy to production multiple times per day</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
World-Class Benefits:</b></h1><ul><li><p>
Full suite: health, medical, dental coverage (USA &amp; Canada)</p></li><li><p>
Flexible vacation/time-off policies</p></li><li><p>
Equity into the company in the form of high potential stock options</p></li><li><p>
Liquidity of options whenever available</p></li><li><p>
Extended options exercise window for loyal employees (3 months for every year of service; e.g. 1 year for 4+ year employees)</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Interview process</b></h1><p>
Do you believe you're a fit for this role and want to join the Maximus team? We'd love to hear about you! Here is what you can expect from the hiring process (if there are changes we will be sure to let you know).</p><p><b>
Please refrain from messaging or emailing people directly, if you are interested, apply directly, your application will be reviewed by a human.</b></p><ul><li><p><b>
Application &amp; Criteria Questionnaire:</b> When submitting your application and resume, tell us why you want to join Maximus and take your time with the questions. The Criteria Questionnaire will be sent to you automatically and is mandatory, we will use it as part of our data driven process. This is your chance to make a strong first impression.</p></li><li><p><b>
First Interview:</b> Interview with Justin L, Recruiting Lead. This will be a exploratory conversation focused on how you work, your experience &amp; fit for the role, and alignment on values and expectations.</p></li><li><p><b>
Role Interview:</b> You will then meet with Mark P - Head of Engineering and Steve C - Senior Growth Product Manager to understand how you would approach real Growth team problems across system design, product trade-offs, and compliance.
</p></li><li><p><b>Technical Interview:</b> Interview with one of our Senior or Lead engineers to evaluate hands-on coding ability in our stack (Rails + React/TypeScript). We want to see that you can build and ship, not just architect. Feel free use agentic AI tools (Claude Code, Cursor, Windsurf, etc.) during the exercise, as appropriate</p></li><li><p><b>
Leadership Interview:</b> Chat with Mark P - Head of Engineering on leading a team, growing engineers, hiring and other aspects of people leadership.</p></li><li><p><b>
Meet the CEO:</b> At the very end, you will have the opportunity to meet with Cam S, our CEO. This is a great chance for you to gain a deeper understanding of Maximus's strategy, values, and work processes.</p></li></ul><p><i>
Maximus is an equal opportunity employer, which not only includes standard protected categories, but the additional freedom from discrimination against your free speech and beliefs, as long as they are aligned with company values. We celebrate intellectual diversity.</i></p><p><i>
Note: We utilize AI note-taking technology during our interview sessions to ensure we capture all answers and details accurately. Candidates are also encouraged to use AI note-takers for their own records if they wish.</i></p><p>
Compensation Range: $150K - $200K</p></div>

Lead Software Engineer / Tech Lead, Growth (Remote)

Apple

<p>Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the ML Data Team of the Intelligent System Experience (ISE) group at Apple. We are responsible for building high quality datasets at scale. Every year, our team produces datasets used in the training of ML and AI-centric features for many Apple products, including iPhone, iPad, Mac, Apple Watch and even AirPods. Our work is used in very visible and critical features, from the wallpaper on your iPhone Lock Screen, to your personalized stickers on iMessage, to Apple Intelligence features such as on-device Genmoji and other visual generative models, to the models that highlight the faces and memories of your loved ones in your Photos app.<br>
<br>
We&rsquo;re looking for an exceptional software &amp; data engineer who is passionate about Apple products and values, who has a passion for data operations at scale, is comfortable in a fast paced environment and who is committed to the hard work necessary to continuously improve our ML data pipelines.<br>
<br>
We invite you to join us at this exciting time. Grow fast and positively impact multiple critical features from your first day at Apple!<br>
<br>
<b>Description</b><br>
<br>
Our team focuses on acquiring, synthesizing, annotating, and ensuring the quality of ML data, driving numerous features in collaboration with R&amp;D teams in Apple&rsquo;s SWE organization.&quot;,&quot;responsibilities&quot;:&quot;Operate and maintain data pipelines to effectively process up to billion-scale multimodal data<br>
<br>
Find creative ways to automate workflows or build self service tools, implement a variety of data tools for visualization, compliance and ML enrichment<br>
<br>
Help bring frontier generative model and agentic capabilities in our pipelines to further optimize our data operations ; and production-ize synthetic data workflows including orchestration and lineage<br>
<br>
Identify opportunities for improvement of internal infrastructure offerings, and influence roadmaps of partner teams to build or improve key components we rely on<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Proven experience designing, automating and scaling large data pipelines (petabyte scale desired) using state of the art processing technologies (eg familiarity with Iceberg, BigQuery, Airflow, Spark, etc.)<br>
<br>
Expertise in Python, Go or another modern programming language; you are expected to produce high quality, efficient code and participate in code reviews<br>
<br>
Strong ability to design and lead a technical roadmap, work with cross functional teams and a diversity of profiles, proven capacity to influence and build alignment<br>
<br>
Demonstrated prior experience in delivering large scale multimodal datasets for foundation models<br>
<br>
Self-starter, able to handle ambiguity, comfortable in a fast-pace environment, identify risks, mitigate, and autonomously find the right people and tools to get the job done<br>
<br>
Proven track record of mentoring and growing engineers, lift the level of software engineering excellence in a ML data ops team typically focused on short term deliveries<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
7+ years of industry experience as a data engineer serving various ML applications (vision domain preferred)<br>
<br>
Bachelor's degree in Computer Science or related field<br>
<br>
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>
<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 $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple'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's Employee Stock Purchase Plan. You'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>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior ML Data Engineer, ISE

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Join the next revolution in robotics at Amazon's Frontier AI &amp; Robotics team, where you'll work alongside world-renowned AI pioneers like Pieter Abbeel, Rocky Duan, and Peter Chen to make breakthrough foundation models run at production scale. As a Senior Machine Learning Engineer embedded in our science team, you'll be instrumental in transforming innovative research into high-performance production systems. You'll collaborate directly with scientists to optimize large-scale transformer architectures for robotics applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale.<br>
<br>
In this role, you'll balance deep technical optimization work with strategic input on model architecture decisions, ensuring our innovative robotics models are designed with performance in mind from the ground up. You'll leverage NVIDIA's acceleration stack and other compilation techniques to tackle ambitious performance targets, working at the intersection of large language models and real-world robotics applications.<br>
<br>
Key job responsibilities<br>
<ul><li>Drive inference optimization strategies for large-scale foundation models using TensorRT, CUDA, and other NVIDIA tools</li><li>Collaborate closely with scientists to influence model architectures for optimal hardware utilization</li><li>Design and implement efficient compilation pipelines for complex transformer architectures</li><li>Develop comprehensive benchmarking frameworks to measure and optimize model performance</li><li>Build robust monitoring solutions to ensure reliable model serving at scale</li><li>Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers</li><li>Maintain high engineering standards through proper testing, documentation, and code review practices</li></ul><br>
A day in the life<br>
<ul><li>Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques</li><li>Partner with scientists to analyze model architectures and propose efficiency improvements</li><li>Implement and benchmark various optimization strategies for large-scale models</li><li>Debug performance bottlenecks using NVIDIA profiling tools</li><li>Participate in technical discussions about new model architectures with the science team</li><li>Design and maintain performance monitoring systems for production deployment</li><li>Prototype new acceleration approaches using emerging compilation frameworks</li></ul><br>
About the team<br>
At Frontier AI &amp; Robotics, we're not just advancing robotics &ndash; we're reimagining it from the ground up. Our team, led by pioneering AI researchers Pieter Abbeel, Rocky Duan, and Peter Chen, is building the future of intelligent robotics through innovative foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.<br>
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence &ndash; from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.<br>
<br>
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in computer science or equivalent</li><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Strong expertise in Python, C++ and CUDA programming</li><li>Experience with TensorRT or similar ML optimization frameworks</li><li>Track record of optimizing ML models for production</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Expertise in NVIDIA's ML stack (cuDNN, CUDA Graph, etc.)</li><li>Experience with ML compilers (ONNX Runtime, TVM, etc.)</li><li>Experience with transformer model optimization</li><li>Background in performance profiling and optimization</li><li>Experience working directly with research teams</li><li>Track record of building robust monitoring systems</li><li>Experience with large-scale ML serving systems</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>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 193,300.00 - 261,500.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Sr. Software Development Engineer, Frontier AI & Robotics

<p>At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. Data Products Engineering team is seeking an ambitious and versatile Data engineer to help lead the design and scale of key data systems, delivering data products that solve exciting business problems. Responsibilities range from designing and implementing core stream-processing and batch-processing capabilities, to supporting privacy preserving critical pipelines. You will have the opportunity to define, refine, and refactor approaches, designs, and architectures to meet the data engineering challenges we must solve. You will join a team of world-class data engineers with an appetite for applying leading-edge technologies to deliver extraordinary experiences to our customers. You will play a meaningful role building data products that deliver on Apple's privacy commitments and change the way advertising works with data. You will be a leading voice in our technology strategy and its delivery, developing and mentoring team members. You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions. You should have 8+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!<br>
<br>
<b>Description</b><br>
<br>
At Apple Ads, we are building the next generation of privacy-focused advertising capabilities. As a part of the data organization, we work at the cutting edge of data engineering, machine learning, and privacy at Apple's scale. We are constantly developing data products to provide amazing user experiences and to drive value for developers and publishers. As a part of this team, as a Data Engineer, you will * Engineer secure and scalable data processing systems across different execution contexts such as real-time, near real-time, and batch using Spark, Hadoop, Kafka, Cassandra and beyond * Collaborate with a team of world-class data engineers and product managers to apply leading-edge techniques and technologies that process petabytes of realtime streaming and batch events * Require a strong understanding of the intersection between business, analytics, and engineering resulting in a proactive approach, focusing on reusable solutions, to improve efficiency and time to insight * Must be able to work in a rapidly changing environment and perform effectively in a sprint-based, agile development environment * Join and contribute to a culture that emphasizes reliability, resiliency, extensibility, scalability, and productivity. We are one team, nurturing each other&rsquo;s growth and supporting each other in delivering for our customers and Apple<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Ability to communicate effectively with cross-functional technical and non-technical teams<br>
<br>
Comfortable working in a rapidly changing environment with ambiguous requirements<br>
<br>
Comfortable with rotating on-call for mission-critical applications<br>
<br>
Prior experience in advertising industry is a huge plus!<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
8+ years of industry experience building distributed, scalable data pipelines and data platforms<br>
<br>
Proven track record of successful and timely software product delivery with complex dependencies<br>
<br>
Demonstrated innovative, critical thinking and troubleshooting skills<br>
<br>
Excellent collaborative skills<br>
<br>
History of motivating teams to meet aggressive goals and innovate<br>
<br>
Proficiency with modern programming languages (e.g. Java/Scala/C++) and ease with picking up new technologies independently<br>
<br>
Strong computer science and data engineering fundamentals<br>
<br>
Expertise in data modeling and Iceberg lake house implementation<br>
<br>
Proficiency in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)<br>
<br>
Experience building and scaling systems on premise and in the cloud<br>
<br>
Strong technical skills with proven experience developing, architecting, and supporting scalable data infrastructure<br>
<br>
Passion for data quality, code elegance, clear documentation, cost saving and operational excellence<br>
<br>
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>
<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 $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple'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's Employee Stock Purchase Plan. You'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>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior Data Engineer

Explore 381+ Senior lead software engineer in San Francisco this March. Find roles across top companies and apply now to boost your career.