Job Description
The role involves designing and implementing AI solutions on edge devices using large-scale sensor and operational data to improve physical operations across various industries, with a focus on scalable, real-world impact and collaboration within a dynamic team.
Key Responsibilities
- Lead design and implementation of critical AI product initiatives on Edge devices
- Develop tactical AI solutions and long-term research projects
- 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 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.
- Proficiency in self-serving with data for experiments and model training at scale (preferred but not explicitly mandatory).
- An established record of successful high-impact deliveries in AI.
- Deep knowledge in state-of-the-art Computer Vision and multi-model models.
Benefits & Perks
Competitive total compensation package
Employee-led remote and flexible working
Health benefits
Ready to Apply?
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