[Remote] Staff Machine Learning Engineer - Edge AI
Note: The job is a remote job and is open to candidates in USA. Samsara is a pioneer in the Connected Operations™ Cloud, helping organizations improve their physical operations through IoT data. As a Staff Machine Learning Engineer, you will lead the design and implementation of AI solutions while working with large-scale data to optimize ML models for edge devices.
Responsibilities
- 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
Skills
- 8+ years experience as a Machine Learning Engineer
- Profound experience in optimizing ML models and systems for Edge compute constraints
- Proficient with Spark, Ray, or a similar framework
- 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
- 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
Benefits
- This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions.
- Performance-based bonus/variable pay
- Equity (for eligible roles)
- Flexible, employee-led remote model
- Professional development stipend
- Comprehensive health and parental leave plans
- Flexible working model that caters to the diverse needs of our teams
- Offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements
Company Overview