Remote Staff Applied Scientist
Samsara
๐Remote - United States
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Job highlights
Summary
Join Samsara's AI team as a Staff Applied Scientist and work on end-to-end AI solutions for customers, leveraging petabyte-scale data to solve critical problems in physical operations. This role can be office-based or fully remote and is open to candidates based in the US and Canada.
Requirements
- Masters or PhD in Computer Science or other quantitative field (e.g., Applied Math, Engineering, Computer Science, Physics)
- 5+ years experience as a Scientist or Machine Learning Engineer
- Proficiency in self-serving with data for experiments and model training at scale
- Proficient with Spark, Ray, or a similar framework
- Coding in python or similar
- Strong functional knowledge of the iterative machine learning product development process
- Experienced in developing and shipping production code
- 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 scientists
Responsibilities
- Lead design and implementation of critical AI product initiatives
- 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
- Stay connected to industry and academic research and adopt novel technology that suits Samsaraโs needs
- Champion, role model, and embed Samsaraโs 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
Preferred Qualifications
- PhD in Computer Science or other quantitative field
- An established record of successful high-impact deliveries in AI
- Experience building and applying ML tools and techniques to accelerate development
Benefits
- Competitive total compensation package
- Employee-led remote and flexible working
- Health benefits
- Samsara for Good charity fund
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