Staff Machine Learning Engineer, AI

About The Company

Samsara (NYSE: IOT) is a pioneering technology company that has established the Connected Operations™ Cloud platform, enabling organizations reliant on physical operations to harness the power of Internet of Things (IoT) data. Our platform provides actionable insights that help improve operational safety, efficiency, and sustainability. At Samsara, we are committed to transforming industries that constitute over 40% of the global GDP, including agriculture, construction, field services, transportation, and manufacturing. Our mission is to digitally revolutionize these sectors at scale, fostering safer workplaces, optimized processes, and sustainable practices.

As a company, Samsara offers an innovative environment where employees contribute to shaping the future of physical operations. We support a diverse portfolio of product solutions such as Video-Based Safety, Vehicle Telematics, Driver Workflows, and Equipment Monitoring. Being a recently public company, we provide our team members with the autonomy and support needed to make meaningful impacts while building for long-term growth.

About The Role

The Samsara AI team is dedicated to developing comprehensive end-to-end AI solutions for our customers and maintaining core machine learning infrastructure. As a Staff Machine Learning Engineer, you will work with petabyte-scale datasets including sensor, diagnostic, video, and text data to solve critical real-world problems faced by our Physical Operations clients worldwide. Your role involves collaborating closely with ML Engineers, Data Scientists, full-stack developers, and firmware engineers to deliver innovative product features, optimize services, and enhance system performance.

This is a remote position open to candidates residing in the United States, with up to 5% travel required. Please note that relocation assistance is not provided for this role. The position offers an exciting opportunity to influence industries that

keep our world running, leveraging scalable AI and machine learning solutions to drive meaningful change.

Qualifications

• 8+ years of experience as a Machine Learning Engineer
• Profound expertise in optimizing ML models and systems for edge computing constraints
• Proficiency with frameworks such as Spark, Ray, or similar
• Strong coding skills in Python or equivalent languages
• Experience with C++ or Rust programming

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• Deep understanding of the iterative machine learning product development process
• Proven track record of developing and deploying production-scale code
• Ability to interpret ambiguous customer and business requirements into clear problem definitions
• Excellent verbal and written communication skills for technical and non-technical audiences
• Experience mentoring and coaching ML engineers
  
  

Responsibilities

• Lead the design and implementation of critical AI product initiatives on edge devices
• Develop tactical AI solutions and contribute to strategic, long-term research projects
• Work with petabyte-scale datasets, including text, sensor, diagnostic, camera, and location data
• Collaborate across business units to explore, prototype, and optimize AI experiences and models on edge devices
• Stay current with industry and academic research, adopting innovative technologies that align with Samsara’s needs
• Embed and exemplify Samsara’s cultural principles: Customer Success, Long-Term Building, Growth Mindset, Inclusivity, and Teamwork
  
  

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Benefits

• Competitive total compensation package
• Remote and flexible working arrangements
• Comprehensive health benefits
• Opportunities for professional growth and development
• Inclusive and supportive work environment
• Access to cutting-edge technology and innovative projects
  
  

Equal Opportunity

Samsara is committed to creating a diverse environment and is proud to be an equal opportunity employer. We welcome applications from all qualified individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, veteran status, disability, or any other characteristic protected by law. We believe that diverse perspectives and backgrounds enrich our team and are essential to our continued success. All qualified applicants will receive consideration for employment without regard to any protected characteristic.