[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 of the Connected Operations™ Cloud, helping organizations improve the safety, efficiency, and sustainability of their physical operations. As a Staff Machine Learning Engineer, you will lead the design and implementation of AI product initiatives, working with large-scale data to solve critical problems for customers globally.
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
- 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)
- A flexible, employee-led remote model
- A professional development stipend
- Comprehensive health and parental leave plans
- Flexible Working
- Remote work where it aligns with our operational requirements
- Offices are open for those who prefer to work in-person
- Inclusive work environment
- Reasonable accommodations throughout the recruiting process
Company Overview
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