Staff Software Engineer, Continuous Learning
- Improve our dataset quality by establishing semi-automated evaluation mechanisms leveraging state of the art models as well as RLHF techniques
- Expand our foundation model approach for sourcing interesting events to millions of miles
- Own model training and inference pipelines for all core Autonomy models
- Collaborate across teams and functions (product, program, operations, data science) to drive projects from inception to delivery
- BS in Computer Science, or a related field
- Excellent Python, Proficient C++ programming and software design skills
- Experience with storage and database management systems (e.g., one of SQL, no-SQL, protobuf, parquet, HDFS)
- Experience working in a cloud environment (e.g., AWS, GCP, Azure, etc)
- Knowledge and experience in at least one of computer vision, LLMs, or deep learning for other applications
- Excellent C++ programming and software design skills
- Distributed System design patterns (high availability, scaling, load balancing, caching, sharding etc.)
- PyTorch and GPU programming experience
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