Engineering Manager - AI Data Infrastructure
Skills
- Strong leadership in ML pipeline or autonomy systems teams
- Deep knowledge of AI training workflows and batch inference processes
- Proficiency in Python and C++ programming
- Experience with modern data infrastructure stacks such as Spark, Kubernetes, and Bazel
Responsibilities
- Lead teams building distributed data processing pipelines for large real-world datasets
- Design and optimize data storage and retrieval systems for machine learning workflows
- Develop batch inference infrastructure for large-scale AI model evaluation
- Collaborate with AI research teams to enhance data-to-model workflows
- Manage infrastructure for data replay systems to validate algorithms pre-deployment
- Implement CI/CD frameworks ensuring ML model reproducibility, safety, and performance
Education
- Relevant degree in Computer Science, Engineering, or related technical field
Benefits
- Competitive base salary with equity options
- Comprehensive health, dental, vision, life, and disability insurance
- 401(k) retirement plan with employer match
- Learning and wellness stipends
- Paid time off
Average salary estimate
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