Zipline
ML Infrastructure Engineer
South San Francisco, California, USA$160k–$250kmidAdded 3 weeks ago
About this role
Zipline is seeking a skilled ML Infrastructure Engineer to join their Data Platform team and build scalable systems for machine learning development. This role focuses on creating robust data pipelines, improving ML workflows, and optimizing performance for their autonomous logistics system. The ideal candidate possesses strong software engineering skills, experience with ML frameworks, and a passion for building infrastructure that directly impacts real-world applications.
What you'll do
- Build and operate infrastructure for machine learning algorithms.
- Design scalable data and ML infrastructure for autonomy teams.
- Own and improve data pipelines within the ML development loop.
- Mitigate bottlenecks in the ML development cycle.
- Ensure reproducibility and optimize performance of ML workflows.
What they're looking for
- Python
- ML Frameworks (PyTorch)
- Kubernetes
- AWS
- Terraform/CloudFormation
- Data Pipelines
- API Design
- Software Engineering
Benefits
- $160,000 - $250,000 starting cash range
- Equity compensation
- Discretionary bonuses
- Medical, dental, and vision insurance
- Paid time off
Opens the official application on the employer’s site. No login required.
Zipline
- Industry
- Logistics & Transportation
Likely interview questions
- Describe your experience building reproducible data pipelines.
- How have you identified and mitigated bottlenecks in the ML development cycle?