Job Description
The role involves designing and implementing advanced AI solutions on edge devices using large-scale sensor and multimedia data to improve physical operations across industries, working closely with cross-functional teams to deliver scalable, impactful AI products.
Key Responsibilities
- Lead design and implementation of AI product initiatives on Edge devices.
- Develop tactical AI solutions and long-term research projects.
- Work with large-scale data from customer operations, including text, diagnostics, sensors, and video.
- Collaborate across business units to explore and prototype new AI experiences.
- Optimize machine learning models for edge device constraints.
- Stay updated with industry and academic research to adopt relevant technologies.
- Mentor and coach other ML engineers.
Requirements
- 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 programming language.
- Coding in C or Rust.
- Strong functional knowledge of the iterative machine learning product development process.
- Experience 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.
- Experience working with petabyte-scale data from customer operations including text, transactions, diagnostics, sensor, camera, and location data.
- Ability to lead design and implementation of critical AI product initiatives on Edge devices.
- Ability to develop both tactical AI solutions and longer-term research strategies.
- Partner across business units to explore and prototype new AI experiences and optimize ML model performance on edge devices.
- Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
Benefits & Perks
Competitive total compensation package including base salary, bonus, and stock options (RSUs)
Remote and flexible working arrangements
Health benefits
Ready to Apply?
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