Senior Engineer, Data & ML Infrastructure
Skills
- Proficient in Python and production-quality software development.
- Experience with AWS core services: S3, RDS, Athena, Redshift, or EKS.
- Skilled in writing SQL queries and data modeling for analysis.
- Familiar with DBMS such as PostgreSQL, MySQL, MongoDB, or SQLite.
- Experienced in designing and shipping distributed systems for robotics.
- Knowledge of software engineering principles: configuration management, source control, build processes, code reviews, testing, containerization, CI.
- Practiced in agile methodologies and project management.
Responsibilities
- Develop large-scale solutions to mine challenging autonomous driving scenarios.
- Collaborate with ML infrastructure teams on workflows for continuous learning.
- Research and develop methods to extract uncertainty and informativeness indicators.
- Provide statistical insights on model uncertainty, generalization, and robustness.
- Conduct deep learning experiments and document technical results.
- Guide junior researchers on project research and design document reviews.
Education
- Bachelor’s degree in computer science, information technology, or related technical field.
Benefits
- Medical, dental, and vision insurance.
- 401(k) plan with company match.
- Health savings accounts.
- Life and pet insurance.
- Employee referral program.
- Diversity and inclusion-focused workplace culture.
Average salary estimate
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