Applied Scientist Jobs in San Francisco, CA
Applied Scientist jobs in San Francisco are concentrated in SoMa, Mission Bay, and the Financial District, with demand driven by AI infrastructure, biotech platforms, and enterprise software. Employers hiring right now include Pinterest, Lyft, and Socure. Scan the live roles below and apply to whichever ones fit.
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DESCRIPTION
Amazon is on a mission to redefine the future of automation — and we're looking for exceptional talent to help lead the way. We are building the next generation of advanced robotic systems that seamlessly blend cutting-edge AI, sophisticated control systems, and novel mechanical design to create adaptable, intelligent automation solutions capable of operating safely alongside humans in dynamic, real-world environments.
At Amazon, we leverage the power of machine learning, artificial intelligence, and advanced robotics to solve some of the most complex operational challenges at a scale unlike anywhere else in the world. Our fleet of robots spans hundreds of facilities globally, working in sophisticated coordination to deliver on our promise of customer excellence — and we're just getting started.
As a Applied Scientist in Robot Perception, you will be at the forefront of this transformation. You will develop and deploy state-of-the-art perception algorithms that enable robots to truly understand and interact with the physical world — bridging the gap between theoretical research and real-world impact. Bringing deep expertise in Computer Vision and a nuanced understanding of the capabilities and limitations of modern Vision-Language Models (VLMs), you will innovate boldly and push the boundaries of what's possible. Our vision for the Perception layer is ambitious: to enable seamless, intelligent interaction between the user, the robot, and its environment.
This is a rare opportunity to work at the intersection of deep learning, large language models, and robotics — contributing to research that doesn't just advance the field, but reshapes it. You will collaborate with world-class teams pioneering breakthroughs in dexterous manipulation, locomotion, and human-robot interaction, all at an unprecedented scale.
Join us in building intelligent robotic systems that will define the future of automation and human-robot collaboration.
Key job responsibilities
- Design, develop, and deploy perception algorithms for robotics systems, including object detection, segmentation, tracking, depth estimation, and scene understanding
- Lead research initiatives in computer vision, sensor fusion and 3D perception
- Collaborate with cross-functional teams including robotics engineers, software engineers, and product managers to define and deliver perception capabilities
- Drive end-to-end ownership of ML models — from data collection and labeling strategy to training, evaluation, and deployment
- Mentor junior scientists and engineers; contribute to a culture of technical excellence
- Define and track key metrics to measure perception system performance in real-world environments
- Publish research findings in top-tier venues (CVPR, ICCV, ECCV, ICRA, NeurIPS, etc.) and contribute to patents
A day in the life
- Train ML models for deployment in simulation and real-world robots, identify and document their limitations post-deployment
- Drive technical discussions within your team and with key stakeholders to develop innovative solutions to address identified limitations
- Actively contribute to brainstorming sessions on adjacent topics, bringing fresh perspectives that help peers grow and succeed — and in doing so, build lasting trust across the team
- Mentor team members while maintaining significant hands-on contribution to technical solutions
BASIC QUALIFICATIONS
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 2+ years of building machine learning models for business application experience
- Experience with Java, C++, or other programming languages
- Experience with neural deep learning methods and machine learning
- Have publications at top-tier peer-reviewed conferences or journals
PREFERRED QUALIFICATIONS
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- PhD in Robotics, with a focus on Robot Perception
- Experience leading research initiatives in full-stack robotics or foundation models
- Track record of successful production robotics deployments
- History of technical leadership and team mentorship
- Experience bridging research with practical engineering implementation in robotics systems
- Extensive programming skills in Python and PyTorch/JAX
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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’re applying in isn’t listed, please contact your Recruiting Partner.
COMPENSATION
- 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 & AD&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.
LOCATION
USA, CA, SAN FRANCISCO - 171,600.00 - 222,200.00 USD annually
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Find Applied Scientist JobsApplied Scientist Job Market in San Francisco
Who's Hiring
- Pinterest13

- Lyft8

- Socure7

- Whatnot7

- Amazon7

Top Industries Hiring
- Technology & Software92
- Retail14
- E-Commerce & Online Marketplaces13
- Science & Research8
- Fintech6
Applied Scientist Jobs in San Francisco: Frequently Asked Questions
How do I get a applied scientist job in San Francisco?
Focus your search on San Francisco's three strongest hiring clusters: AI and machine learning platforms in SoMa, biotech and computational biology firms in Mission Bay, and fintech and data infrastructure companies in the Financial District. Candidates who can demonstrate production ML experience, published research, or strong open-source contributions stand out in this market. Targeting mid-stage startups alongside large tech employers broadens your options considerably.
Which companies hire applied scientists in San Francisco?
Employers hiring applied scientists in San Francisco right now include Pinterest, Lyft, and Socure, based on current listings on Migrate Mate as of June 2026. San Francisco's hiring mix skews toward AI-native startups, established tech platforms, and life sciences companies with computational research arms.
Are there remote applied scientist jobs in San Francisco?
Yes, though it depends heavily on the role: purely analytical and modeling work is frequently remote, while positions involving lab systems, on-site data infrastructure, or embedded product teams tend to require in-person presence. About 63% of applied scientist openings tied to San Francisco are remote or hybrid as of June 2026. The most remote-friendly specialties locally are NLP, recommendation systems, and forecasting.
How can I get a applied scientist job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is through a research engineering or junior ML engineer role at a mid-stage startup, where scope is broader and teams are smaller. AI-focused companies in SoMa and Mission Bay frequently hire candidates with strong graduate research backgrounds even without industry experience. Contributing to open-source projects used by San Francisco employers and attending local ML meetups builds visibility with hiring managers directly.
Which industries hire the most applied scientists in San Francisco?
Most applied scientist openings in San Francisco sit in Technology & Software, Retail, and E-Commerce & Online Marketplaces, per current listings on Migrate Mate as of June 2026. San Francisco's density of AI-first companies, biotech research platforms, and fintech infrastructure firms creates sustained demand for applied scientists with specialized modeling and experimentation skills.
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