Job Description
The role involves leading the design and implementation of AI solutions on edge devices, working with large-scale sensor and multimedia data to develop innovative AI products that improve physical operations across various industries.
Key Responsibilities
- Lead design and implementation of critical AI product initiatives on Edge devices
- Develop tactical AI solutions and strategic research for AI products
- Work with petabyte-scale data from customer operations, including text, diagnostics, sensor, camera, and location data
- Partner across business units to explore, prototype, and optimize AI experiences and ML model performance on edge devices
Requirements
- Minimum of 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 programming languages.
- 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 clear 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 Machine Learning Engineers.
- Experience working with petabyte-scale data from customer operations including text, transactions, diagnostics, sensor, camera, and location data.
- Ability to develop both tactical AI solutions and strategic, long-term research initiatives.
- Ability to explore and prototype new AI experiences and optimize ML model performance on edge devices.
- Ability to 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 RSUs
Remote and flexible working options
Health benefits
Opportunities for career growth and learning
Relocation assistance (not provided for this role)
Inclusive work environment with accommodations for persons with disabilities
Ready to Apply?
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