Top 56 Staff machine learning engineer (autonomy) Jobs in San Francisco, Ca

Staff Machine Learning Engineer - Edge AI
Samsara —San Francisco, CA
- $178,640 - $319,000 a year
- Research
- 8 years
- C++
- Parental leave
Staff Machine Learning Engineer, Voice AI
Together AI —San Francisco, CA
- $220,000 - $280,000 a year
- Full-time
- Computer Science
- System design
- Master's degree
- Health insurance
Member of Technical Staff
OpenEvidence —San Francisco, CA
- Full-time
- Office
- In-person
- Senior level
Member of Technical Staff - Simulation Engineer
Embedding VC —San Francisco, CA
- Full-time
- Computer Science
- System design
- Office
Quick Apply
Staff Software Engineer, Machine Learning
Saildrone —Alameda, CA
- $215,000 - $270,000 a year
- Computer Science
- Bachelor of Science
- System design
- Paid holidays
- Health insurance
Member of Technical Staff - Low Level & Kernels Capabilities
Preference Model —San Francisco, CA
- $200,000 - $350,000 a year
- Full-time
- Senior level
- Python
- Dental insurance
- Vision insurance
Staff Software Engineer, Operational Applications & Platforms
Zoox —Foster City, CA
- $285,000 - $315,000 a year
- Email
- Hybrid work
- Computer Science
- System design
- 11+ years
- Disability insurance
- Health insurance
Quick Apply
Senior / Staff Machine Learning Engineer, Applied AI
Lila Sciences —San Francisco, CA
- $180,000 - $298,000 a year
- Senior level
- Communication skills
Quick Apply
Senior/Staff Software Systems Engineer - Software Health and Complexity
Zoox —Foster City, CA
- $208,000 - $300,000 a year
- Email
- Hybrid work
- 7 years
- Computer Science
- System design
- Disability insurance
- Health insurance
Quick Apply
Staff Machine Learning Engineer (Autonomy)
Mariana Minerals —San Francisco, CA
- $160,000 - $200,000 a year
- Full-time
- Computer Science
- C++
- Senior level
Principal / Staff Robotics Perception Engineer
Simbe Robotics —San Francisco Bay Area, CA
- $190,000 - $240,000 a year
- Full-time
- Hybrid work
- 7 years
- System design
- C++
Robotic AI Engineer/Applied Scientist - Foundation Models
Maven Robotics —San Francisco Bay Area, CA
- Computer Science
- Doctor of Philosophy
- Senior level
Staff Software Engineer, Perception
Saildrone —Alameda, CA
- $215,000 - $270,000 a year
- Computer Science
- Bachelor of Science
- System design
- Paid holidays
- Health insurance
Member of Technical Staff
Sapiom —San Francisco, CA
- Full-time
- System design
- Machine learning
- Senior level
Quick Apply
Machine Learning Engineer (Mechanical Engineering Practice, Ph.D.)
Exponent Inc. —Menlo Park, CA
- $140,000 - $160,000 a year
- Email
- Laboratory experience
- Office
- Doctor of Philosophy
- 401(k)
Materials Scientist/Engineer (Ph.D.)
Exponent Inc. —Menlo Park, CA
- $140,000 - $157,000 a year
- Email
- Analysis skills
- Doctor of Philosophy
- US work authorization
- 401(k)
Member of the Technical Staff - Agentic Engineer
Stand Insurance —San Francisco, CA
- $270,000 - $325,000 a year
- Full-time
- Hybrid work
- US work authorization
- Software development
- Fair chance
- Commuter assistance
- Disability insurance
Staff Software Engineer (Full Stack)
Onos Health —San Francisco, CA
- $180,000 - $220,000 a year
- Full-time
- Hybrid work
- 5 years
- HIPAA
- Office
- Commuter assistance
- Paid parental leave
Member of Technical Staff - Platform
Vals AI —San Francisco, CA
- $140,000 - $185,000 a year
- Full-time
- System design
- Office
- Databases
- Health insurance
- Dental insurance
Quick Apply
Senior / Staff Software Systems Engineer - Simulation Evaluation & Validation
Zoox —Foster City, CA
- $208,000 - $330,000 a year
- Email
- Hybrid work
- Computer Science
- 5 years
- Bachelor of Science
- Disability insurance
- Health insurance
Quick Apply

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Staff Machine Learning Engineer - Edge AI

Samsara -
San Francisco, CA

Apply Now

Job Details

$178,640 - $319,000 a year

Benefits

Parental leave

Qualifications

Software engineering
Requirements specification
Requirements design
Software coding
Coaching
Production systems
Machine intelligence
Professional development support
Model deployment
Requirements analysis
Mentoring
Engineering product development
Machine learning (ML) fundamentals

Full Job Description

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term.

About the role:

The Samsara AI team builds end-to-end AI solutions for our customers as well as core ML infrastructure for Samsara. As a Staff Machine Learning Engineer, you will be working with petabyte-scale sensor, diagnostic, video, and text data to solve critical problems for Physical Operations customers, globally. You will work closely with ML Engineers and Scientists, as well as full-stack and firmware engineers to deliver core product features, services, and optimizations.

This is a remote position open to candidates residing in the United States. This position requires travel up to 5% of the time. Relocation assistance will not be provided for this role.

You should apply if:

You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win—together.

In this role, you will:

Lead design and implementation of critical AI product initiatives on Edge devices.
Develop both tactical AI solutions as well as more strategic and longer term research.
Work with petabyte-scale data from customer operations including text, transactions, diagnostics, sensor, camera, and location data.
Partner across business units to explore and prototype new AI experiences and optimize the ML model performance on edge devices.
Stay connected to industry and academic research and adopt novel technology that suits Samsara's needs.
Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

8+ years experience as a Machine Learning Engineer.
Profound experience in optimizing ML models and systems for Edge compute constraints.
Coding in python or similar.
Coding in C++ or Rust.
Strong functional knowledge of the iterative machine learning product development process.
Experienced in developing and shipping production code at large scale.
Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions.
Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge.
Experience coaching and mentoring ML Engineers.

An ideal candidate also has:

Proficiency in self-serving with data for experiments and model training at scale.
An established record of successful high impact deliveries in AI.
Deep knowledge in state of the art Computer Vision and multi-model models.

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Belonging at Samsara

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email [email protected] or click here if you require any reasonable accommodations throughout the recruiting process.

Our Commitment to Authenticity

We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

Apply Now

Refine Your Search

staff machine learning engineer (autonomy) jobs in san francisco, ca

Staff Machine Learning Engineer - Edge AI

Staff Machine Learning Engineer, Voice AI

Member of Technical Staff

Member of Technical Staff - Simulation Engineer

Staff Software Engineer, Machine Learning

Member of Technical Staff - Low Level & Kernels Capabilities

Staff Software Engineer, Operational Applications & Platforms

Senior / Staff Machine Learning Engineer, Applied AI

Senior/Staff Software Systems Engineer - Software Health and Complexity

Staff Machine Learning Engineer (Autonomy)

Principal / Staff Robotics Perception Engineer

Robotic AI Engineer/Applied Scientist - Foundation Models

Staff Software Engineer, Perception

Member of Technical Staff

Machine Learning Engineer (Mechanical Engineering Practice, Ph.D.)

Materials Scientist/Engineer (Ph.D.)

Member of the Technical Staff - Agentic Engineer

Staff Software Engineer (Full Stack)

Member of Technical Staff - Platform

Senior / Staff Software Systems Engineer - Simulation Evaluation & Validation

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