Applied Scientist

Summary

Join Samsara's AI team as a Staff Applied Scientist and contribute to the development of cutting-edge AI solutions for our global customers. You will work with petabyte-scale data to solve critical problems in physical operations. This remote role, open to US and Canadian candidates (excluding the San Francisco Bay Area and NYC Metro Area), offers the opportunity to impact industries that power our world. You will lead AI product initiatives, develop AI solutions, and collaborate with cross-functional teams. The role requires a Master's or PhD in a quantitative field and 5+ years of relevant experience. Samsara offers a competitive compensation package and benefits.

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 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

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