Job Description
The role involves developing scalable machine learning infrastructure and distributed training solutions for self-driving technology, focusing on building model serving platforms, optimizing ML processes, and maintaining observability for autonomous vehicle systems.
Key Responsibilities
- Build and maintain a model serving platform for large-scale simulations and reinforcement learning training.
- Collaborate with ML researchers to optimize distributed ML processes and latency-critical on-edge ML runtime.
- Monitor and ensure observability of critical services such as ML training, data dumping, and deployment.
- Develop tools to track the model development lifecycle for efficient deployment and evaluation.
Requirements
- 2 years of relevant work experience or an equivalent experience in Masters or PhD with 2 years of relevant experience
- Strong coding skills in Python or C++
- Relevant exposure to the ML development life cycle and ML models
- Experience in building a cloud-based distributed training platform
- Experience profiling and optimizing performance bottlenecks for deep learning models
Benefits & Perks
Compensation/salary range between $193,930 and $291,150 depending on experience and qualifications
Annual performance bonus
Equity options
Competitive benefits package
Ready to Apply?
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