Job Description
The role involves designing and implementing advanced AI solutions for edge devices using large-scale sensor and multimedia data to improve physical operations across industries, collaborating with cross-functional teams, and staying at the forefront of AI research and technology.
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 experience in Python or similar programming languages.
- Coding experience 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 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 lead the design and implementation of critical AI product initiatives on Edge devices.
- Ability to develop both tactical AI solutions and strategic, long-term research.
- Ability to partner across business units to explore and prototype new AI experiences and optimize ML model performance on edge devices.
- Deep knowledge in state-of-the-art Computer Vision and multi-model models.
Benefits & Perks
Competitive total compensation package including base salary, bonus, and RSUs
Remote and flexible working options
Health benefits
Employee-led remote work support
Relocation assistance not provided
Ready to Apply?
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