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machine learning engineer Jobs in San Francisco

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automation engineer

MERCOR

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Software Engineer 
Type: Full-time 
Compensation: $80&ndash;$110/hour 
Location: Remote
Role Responsibilities<ul><li>
Develop and enhance AI-powered interviewing tools and automation systems to optimize the hiring infrastructure.</li><li>
Implement frontend experiences using React and related frameworks to create intuitive user interfaces for recruiters, interviewers, and candidates.</li><li>
Build and maintain backend services supporting interview scheduling, AI transcription/summarization, and automation workflows.</li><li>
Collaborate with AI/ML teams to integrate GPT-4o and other AI technologies for interview feedback automation and quality improvements.</li><li>
Leverage AI-powered development tools including Cursor, Claude Code, and Devmate to accelerate development velocity.</li><li>
Support autonomous scheduling improvements and candidate-driven experiences that reduce manual coordinator interventions.</li></ul>
Qualifications
Must-Have<ul><li>
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>
4+ years of software engineering experience with object-oriented programming languages such as Java, C++, or C#.</li><li>
Experience with scripting languages including Python, PHP, or JavaScript.</li><li>
Proficiency with frontend frameworks such as React, Vue, or similar modern JavaScript frameworks.</li><li>
Strong problem-solving skills and ability to work independently on complex technical challenges.</li></ul>
Preferred<ul><li>
Experience working with AI-powered development tools such as Cursor, Claude Code, Devmate, or similar AI coding assistants.</li><li>
Familiarity with GraphQL and modern API design patterns.</li><li>
Experience with React ecosystem including Relay for data fetching.</li><li>
Knowledge of AI/ML technologies and experience integrating language models (GPT-4o, Claude, etc.) into production applications.</li></ul>
Compensation &amp; Legal<ul><li>
Hourly contractor</li><li>
Paid weekly via Stripe Connect</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview based on your resume</li><li>
Submit form</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

AI Engineer – Remote Work

M&D Mechanical Contractors

, 20 hours per weekPosition: Junior DevOps EngineerCompany Overview: M & D Mechanical Contractors is a leading mechanical contracting company based in San Francisco, CA. We specialize in providing high-quality mechanical services to commercial and residential clients in the Bay Area. Our team is made up of experienced professionals who are dedicated to delivering exceptional results and exceeding our clients' expectations.Job Summary: We are seeking a highly motivated and skilled Junior DevOps Engineer to join our team on a part-time basis. In this role, you will work closely with our DevOps team to support and maintain our infrastructure, automate processes, and ensure the smooth operation of our systems.
 
The ideal candidate will have a strong understanding of software development, cloud computing, and automation tools, as well as a passion for learning and continuous improvement.Responsibilities: - Collaborate with the DevOps team to design, build, and maintain our infrastructure and systems- Automate processes and workflows to improve efficiency and reduce manual tasks- Monitor system performance and troubleshoot issues as needed- Implement and maintain security measures to protect our systems and data- Work with development teams to ensure smooth integration and deployment of new applications and updates- Stay up-to-date with industry trends and emerging technologies to continuously improve our systems and processes- Participate in on-call rotations to provide 24/7 support for critical systemsRequirements: - Bachelor's degree in Computer Science, Engineering, or a related field- 1-2 years of experience in a DevOps or Systems Administration role- Strong understanding of software development processes and methodologies- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud- Proficiency in scripting languages such as Bash, Python, or Ruby- Familiarity with automation tools such as Ansible, Puppet, or Chef- Knowledge of containerization technologies like Docker and Kubernetes- Excellent problem-solving and troubleshooting skills- Strong communication and collaboration skills- Ability to work independently and in a team environment- Willingness to learn and adapt to new technologies and processesLocation: This position is based in San Francisco, CA. However, due to the current COVID-19 pandemic, remote work options may be available.Contract Details: This is a part-time position, with a commitment of 20 hours per week. The exact schedule can be discussed during the interview process.Join Our Team: At M & D Mechanical Contractors, we value diversity and inclusivity in our workplace. We offer a competitive salary, opportunities for growth and development, and a supportive and collaborative work environment.
 
If you are passionate about DevOps and want to be part of a dynamic team, we encourage you to apply for this exciting opportunity.

Junior DevOps Engineer

Apple

Would you like to play a part in shipping groundbreaking technology for large scale systems, natural language, and artificial intelligence? You will be looking at the quality of code submitted into the build, designing the tests, tools and frameworks to make Siri more robust and reliable from all its core components for existing and new features, solve challenging problems, propose new innovative solutions that are scalable to support the automation infrastructure across multiple cross functional teams that help drive the quality to bring the next generation of Siri. 
 
Description 
 
The Siri team is developing the next generation of Siri and new frameworks making Siri more intelligent across the entire Siri stack. This role is to ensure the quality of the code introduced by developers maintains high standards ensuring Siri high quality with no regressions. Monitoring pipelines, ensuring no regressions are being introduced and continue to grow test coverage in a scalable way with different testing technologies and techniques related to Functional teasing and Evaluation. 
 
As part of the role, drive quality first processes monitoring reports, tests, solving problems to increase coverage by adding more tests, improve the test harness and adopt new technologies that tests at scale to improve the quality standards. Review data, triage issues and drive discussions with engineering partners to ensure timely resolution of issues found to meet the goal of no regressions. 
 
&quot;,&quot;responsibilities&quot;:&quot;Monitor Automation and Manual testing results for sign offs 
 
Analyze and triage issues for prompt resolution and escalations 
 
Qualify client code changes before deployments to our testing and internal use population 
 
Coordinate and monitor scheduling, planning and execution of the qualification process 
 
Define and tune submission process 
 
Design and build tools to facilitate and simplify the process, reducing the manual efforts 
 
Preferred Qualifications 
 
Experience with conversational AI technologies and frameworks 
 
Familiarity with Apple's research and products 
 
Master's in Computer Science 
 
Minimum Qualifications 
 
8+ years as Software Developer Engineer in Test 
 
4+ years Designing and Architecting tools and frameworks to support testing 
 
Proficient in Python and/or Swift 
 
Experienced in Testing Pyramid, Component, Integration, System and End-to-End testing 
 
Experienced in Shift to left experiences 
 
Proficient in CI/CD environments to deploy and schedule pipelines for testing 
 
Good analytical skills reviewing dashboards and data to help make decisions 
 
Excellent leadership in driving the development of tools and frameworks driven towards excellence in quality 
 
Shown problem solving and debugging skills: analyze and investigate test failures, errors, and build issues, able to properly drive issues to completion and support issues with data 
 
Excellent verbal and written communications skills 
 
Possess an outgoing and positive demeanor to mobilize and lead others 
 
Bachelor's in Computer Science (or 6yrs equivalent work experience) 
 
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 . 
 
Pay &amp; Benefits 
 
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. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Quality - Build Qualification and Release

Kickmaker

<div><div>Kickmaker is a high-tech product design and industrialization agency.</div>
<div></div>
<div>We support our customers from prototype to production run in our main vertical markets (medical, new mobility, electrification, agrotech, robotics, IOT and consumer devices) and our cross-disciplinary skills (embedded AI, high-tech manufacturing automation, eco-design, industrial design and WEB 3.0 for the economy of functionality).</div>
<div></div>
<div>We're evolving with a real maker culture! Passion, excitement and kindness are the pillars of KICKMAKER. This team and community spirit has enabled us to shape a unique corporate culture. Our approach: to enable everyone to fulfill their potential by working on exciting projects, and to encourage autonomy and initiative.</div>
<div></div>
<div>Present in France, China and the United States, our community counts over 250 passionate kickers and keeps growing. It is in this context that we are looking to strengthen our team in Boston, Seattle and San Fransisco.</div><div></div><div> 
Within Kickmaker, the employee will assume the role of AI engineer, with the following main responsibilities:

Supporting the qualification of Kickmaker clients&rsquo; requirements, as well as ensuring proper technical follow-up and management of projects for the assigned scope. As an integral part of the project team, he/she collaborates with other technical experts and contributes to the successful completion of the project within the defined timeline and budget.

General responsibilities related to the role:
<ul>
<li>Analyze sensors for data acquisition (RGB, depth, LiDAR, pressure, and others)</li>
<li>Design and implement data processing architectures</li>
<li>Perform business and technical analysis of data to understand underlying phenomena</li>
<li>Generate real and/or synthetic datasets (using Blender or other tools)</li>
<li>Implement classical algorithms</li>
<li>Apply Deep Learning approaches, including the use of pre-trained networks or training custom models</li>
<li>Test and analyze Deep Learning models</li>
<li>Review scientific publications and identify potential opportunities</li>
<li>Improve robustness and optimize Deep Learning models (e.g., deployment on microcontrollers)</li>
</ul>
More generally, the employee shall also ensure the development and maintenance of the company&rsquo;s brand image with its clients and ensure compliance with applicable procedures, both in the performance of their own duties and with regard to the employees under their supervision.

The employee must remain aware of the responsibilities associated with the performance of their duties and may not claim to have been unaware of them under any circumstances.

In carrying out the responsibilities described above, and more broadly in the performance of all activities within the Company, the employee shall be placed under the direct supervision of the Executive Management of Kickmaker.
<ul>
<li>Location: San Francisco, California, USA</li>
<li>Base Salary: $155 000 to $180 000/ year</li>
<li>Experience Required: 5 years in a relevant field</li>
</ul></div><div><div>Your adventure at Kickmaker</div>
<div></div>
<div>At Kickmaker you&rsquo;ll work on 5&ndash;10 projects annually, choosing from a wide range of industries : from robotics, medical devices, fitness tech, and automotive, to micro-mobility, beauty tech, sports exoskeletons, and AI-driven hardware.
</div><div>Your path evolves with your curiosity: we help you grow where your professional ambitions and personal passions meet, always connected to the latest tech breakthroughs.</div>
<div></div>
<div>We offer a benefits package designed to support you and your family while keeping costs low. This includes health and dental coverage, paid time off and 5 sick days for rest and renewal. You can also join our 401(k) plan to invest in your future.</div>
<div></div>
<div>Our Culture &amp; Spirit</div>
<div>Kickmaker is built by innovators, for innovators. Across our 7 offices we give you the tools to make your ideas happen.</div> 
<div></div>
<div></div><div>Our vision is simple: build a space where innovators can explore, experiment, and push boundaries together.</div>
<div>If you&rsquo;re curious about our spirit and way of working (and you&rsquo;ve got a minute) check out this short video where Leonardo da Vinci &ldquo;visits&rdquo; Kickmaker.An image is worth a thousand words, and this one will give you the full vibe</div>
<div></div>
<div>If you&rsquo;ve ever looked at a product and thought, &ldquo;I could build this better,&rdquo; let&rsquo;s talk!</div>
</div>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

AI Engineer

Train With Ellie

<div>About Owner.com
Owner is the AI growth system for local restaurants. 
Our AI continuously improves SEO, marketing, and online ordering to grow first-party orders. Unlike other companies that force small business owners to master their software to drive sales, Owner gives them a proven system run by experts. 
Owner is like having an army of engineers and marketers on your side, just like the big chains. 
Our vision
We&rsquo;re starting by helping independent restaurants succeed online. 
But it&rsquo;s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive. 
Once we nail the solution for restaurants &ndash; we&rsquo;ll scale it into every other local business type. 
In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age. 
Read our Series C memo here 
Our traction
Since 2020, we've generated tens of millions in revenue and processed over half a billion dollars of online orders. 1 in 5 Americans have used an Owner.com website. 
More importantly, we&rsquo;ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees. 
Our team
Our team is now in the low hundreds. We&rsquo;ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe. 
We&rsquo;ll be scaling even faster in 2026 to keep pace with our customer growth. 
Where we work
Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location! 
Why we&rsquo;re looking for you
We&rsquo;re looking for a Device Lab Engineer to build and run Owner&rsquo;s device testing lab for our new POS product line. This lab will be the source of truth for validating hardware and software combinations across tablets, routers, card readers, printers, and other peripherals, and ensuring every release works across the real-world matrix our restaurants depend on. 
You&rsquo;ll be our first dedicated lab hire: an individual contributor who can bring structure, speed, and confidence to a fast-moving hardware + software environment. This role sits at the intersection of product engineering, QA, and operations &mdash; and will help define the standard for what &ldquo;ready to ship&rdquo; means for Owner POS. 
This is a hybrid role located in San Francisco, California.
The impact you will have<ul><li>
Own the device lab end-to-end: procure, provision, organize, and maintain a fleet of POS tablets, networking equipment, payment devices, printers, and related peripherals.</li><li>
Define and execute device validation plans across changing variables including: hardware models and revisions device configuration and provisioning states OS versions and patch levels Owner POS application versions peripheral firmware and connection types (USB, Bluetooth, Wi-Fi, Ethernet)</li><li>
Build and maintain a testing matrix that captures supported and in-progress combinations; continuously expand coverage as we add new devices and markets.</li><li>
Create and evolve SOPs for hardware/software testing, device setup, troubleshooting, and re-qualification when any variable changes.</li><li>
Run regression and acceptance testing for POS releases, peripheral integrations, and OS/firmware updates; clearly document results and risks.</li><li>
Investigate and root-cause device issues by reproducing bugs in the lab, isolating variables, and partnering with engineering to land fixes.</li><li>
Partner cross-functionally with POS Engineering, Mobile/Backend, Payments, Support, and Product to drive lab priorities and release readiness.</li><li>
Improve lab efficiency over time, including lightweight automation for repeatable test flows, inventory tracking, and device health monitoring.</li><li>
Help define lab strategy as we scale: what to standardize, what to automate, and what future hires or tooling will be needed.</li></ul>
What we&rsquo;re looking for<ul><li>
5+ years in device, hardware, systems, or integration testing - ideally in POS, payments, mobile, IoT, or consumer electronics.</li><li>
Hands-on experience testing integrated hardware + OS + application + peripherals in real device environments (not just simulators).</li><li>
Experience using or administering Mobile Device Management (MDM) solutions to provision, configure, secure, and maintain fleets of tablets/devices (e.g., Esper, Microsoft Intune, VMware Workspace ONE (AirWatch), Jamf, Kandji, SOTI MobiControl, Scalefusion, or Hexnode, or similar).</li><li>
Comfortable with device provisioning, OS flashing/updating, firmware management, and peripheral bring-up.</li><li>
Experience building test automation for hardware/device workflows (even small scripts or harnesses).</li><li>
Track record of defining, documenting, and maintaining SOPs for test labs or hardware/software validation processes.</li><li>
Strong instinct for building clear test matrices, prioritizing risk-based coverage, and spotting gaps before they ship.</li><li>
Strong debugging skills: logs, repro steps, variable isolation, and communicating findings clearly to engineers.</li><li>
Organized, detail-oriented lab operator who can manage inventory, keep environments consistent, and maintain high signal test results.</li><li>
Ability to thrive in ambiguity and build new functions from zero to one.</li></ul> 
Pay and benefits<ul><li>
The estimated base salary range for this role is $170,000 - $190,000 plus a generous pre-IPO equity package</li><li>
Other benefits include comprehensive health coverage, remote-first workplace, unlimited PTO - plus extra fun perks!</li></ul> 
 Notice - Employment Scams
Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address.
We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by scammer, please mark the communication as &quot;phishing&quot; or &ldquo;spam&rdquo; and do not respond.</div><div></div>

Senior Device Lab Engineer

ChatGPT Jobs

<div>
 
 Job Description
 
 
 
 Machine Learning Engineer
 
 
 
 Company:
 
 Harnham
 
 
 
 Location:
 
 San Francisco, CA
 
 
 <ul>
 <li>
 Remote
 
 
 </li>
 </ul>
 
 Type:
 
 Full-time
 
 
 
 Posted:
 
 10 hours ago
 
 
 
 Job Description
 
 
 
 
 MACHINE LEARNING ENGINEER - MULTIMODAL AI
 
 
 
 
 FULLY REMOTE
 
 
 
 
 $260,000 - $325,000
 
 
 
 An exciting opportunity for an experienced Machine Learning Engineer to join a team building next-generation multimodal AI systems for media generation. This role is ideal for someone with strong engineering skills, deep ML experience, and a passion for turning cutting-edge research into production-ready systems.
 
 
 You'll work on generative models for image and video, collaborating closely with engineering and product teams to bring AI-driven creative tools to life.
 
 
 
 The Company
 
 
 
 The company is a leader in AI-powered creative technology, pushing the boundaries of content creation on the browser. The engineering team is highly collaborative, fast-moving, and focused on building human-in-the-loop systems that scale.
 
 
 THE ROLE
 
 
 Hands-on engineering role focused on developing and deploying advanced ML models.
 
 
 <ul>
 <li>
 Develop computer vision and generative AI models for image and video
 </li>
 <li>
 Prototype and iterate on research solutions under tight timelines
 </li>
 <li>
 Collaborate with engineering, product, and research teams to productionize models
 </li>
 <li>
 Ensure clean, maintainable, and high-performance code
 
 
 </li>
 </ul>
 
 Your Skills &amp; Experience
 
 
 
 <ul>
 <li>
 5+ years in ML, computer vision, graphics, or related research/engineering roles
 </li>
 <li>
 Strong programming skills; experience with CUDA and C++ for performance optimizations
 </li>
 <li>
 Experience with at least one ML framework (PyTorch, TensorFlow)
 </li>
 <li>
 Deep interest in human-in-the-loop systems for creativity
 </li>
 <li>
 Ability to rapidly prototype and iterate on solutions
 </li>
 <li>
 Excellent collaboration, communication, and documentation skills
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Please register your interest by sending your resume to Calum Reid via the apply link on this page.
 
 
 
 About Harnham
 
 
 
 <ul>
 <li>
 Company size: 51 - 200 Employees
 </li>
 <li>
 Headquarters location: New York, NY, US
 </li>
 <li>
 Year founded: 2006
 </li>
 </ul>
</div>

Machine Learning Engineer

Acceler8 Talent

<div>
 
 🚨
 
 Hiring: Machine Learning Engineer (Optimization / Decision Systems)
 
 
 
 📍 San Francisco (Onsite)
 
 
 💰 Up to $250K + Equity (Dependent on experience)
 
 
 
 
 
 Most companies still manage digital advertising like it&rsquo;s 2015. Manually adjusting budgets, guessing which campaigns work, and relying on black-box metrics from ad platforms.
 
 
 We&rsquo;re working with a venture-backed startup building something very different:
 
 
 An AI-driven optimization engine that autonomously allocates advertising spend using the same quantitative rigor used in high-frequency trading and financial markets.
 
 
 Instead of humans manually managing campaigns, their system continuously decides:
 
 
 &bull; Where budget should go
 
 
 &bull; When bids should change
 
 
 &bull; Which creative is losing performance
 
 
 &bull; How to maximize return across platforms
 
 
 
 
 
 
 What You&rsquo;ll Work On:
 
 
 
 🧠 Build models for LTV prediction and budget optimization
 
 
 ⚙️ Design risk-aware algorithms that control how millions in ad spend is deployed
 
 
 🔌 Build real-time integrations with platforms like Meta, Google &amp; TikTok
 
 
 📊 Develop simulation &amp; backtesting systems before strategies go live
 
 
 🚀 Take models from research &rarr; production &rarr; monitoring
 
 
 
 
 
 
 Ideal Background:
 
 
 
 ✔️ 4+ years in Machine Learning or Applied ML Engineering
 
 
 ✔️ Strong foundation in statistics, probability, and optimization
 
 
 ✔️ Experience deploying ML models in production systems
 
 
 ✔️ Builders who care about real-world impact, not just research
 
 
 
 
 
 ⭐ Bonus if you&rsquo;ve worked in quant finance, algorithmic trading, or adtech
 
 
 
 
 
 
 Why This Role Is Interesting:
 
 
 
 &bull; You&rsquo;ll build systems that control real-world financial decisions
 
 
 &bull; Early engineer helping shape the core architecture
 
 
 &bull; Opportunity to work on a $1T+ global market
 
 
 &bull; Meaningful equity at an early stage
 
 
 
 
 
 If you're interested or know someone who might be, DM me or apply below 👇👇
 
</div>

Explore 117+ Automation engineer in San Francisco this March. Find roles across top companies and apply now to boost your career.

117 automation engineer jobs In San Francisco

AI Engineer – Remote Work

Junior DevOps Engineer

Senior Quality - Build Qualification and Release

AI Engineer

Senior Device Lab Engineer

Machine Learning Engineer

Machine Learning Engineer