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Bot Auto
Software Engineer, Machine Learning Infrastructure
Bot Auto
San Francisco•On-site•3-6 Yrs•2 hours ago
Job description
Autonomous DrivingMLOpsData InfrastructureAI Platform EngineeringPerception Models
Overview
Bot Auto is seeking a Software Engineer for Machine Learning Infrastructure to design, develop and scale ML annotation, evaluation and training infrastructure central to their autonomous vehicle systems. The role requires strong systems engineering skills combined with understanding of ML workflows.
Responsibilities
- Architect and own scalable model evaluation platform for perception and prediction models
- Optimize and scale distributed training pipeline workflows
- Design and maintain a versioned, high-quality training data store
- Build automated pipelines spanning data prep, training, validation, and deployment
- Contribute to tooling that powers high-throughput, high-accuracy data annotation at scale
- Develop production ML services treating models as products with reliability, observability and continuous improvement built in
Qualifications
- Bachelor's or Master's in Computer Science or equivalent practical experience
- Strong proficiency in Python; working knowledge of C++
- Experience building or scaling evaluation platforms, training infrastructure, dataset management, annotation pipelines in production environment
- Strong experience with distributed computing and container orchestration (Kubernetes, Spark)
Nice to have
- C++ experience in performance-sensitive or safety-critical applications
- Full-stack service development experience
- Prior work in autonomous driving or robotics
Education
- Bachelor's or Master's degree in Computer Science or equivalent practical experience