Note: The job is a remote job and is open to candidates in USA. Samsara builds the Connected Operations Cloud, using IoT data to improve the safety, efficiency, and sustainability of physical operations. The Staff Machine Learning Engineer will lead AI product initiatives for edge devices, develop and optimize machine learning solutions using large-scale operational data, and collaborate with engineering, research, and business teams.
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
- 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
- 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
- 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 variable pay.
- Equity for eligible roles.
- A flexible, employee-led remote model.
- A professional development stipend.
- Comprehensive health and parental leave plans.
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