Omnifold
MTS - Infrastructure
San Francisco HQ
Sponsorship not specifiedDetected 133 days ago
PythonAWSCI/CDMachine LearningData EngineeringMLOpsCybersecurityComplianceForecastingTest Automation
About the role
- INFRASTRUCTURE TEAM Omnifold trains custom AI models that help planners forecast the future.
- What makes this job interesting: - We train a unique model for each customer, which means model training and inference work differently here than at any other company.
- This is especially important as our application interface for AI-driven forecasting is unique on the market.
Responsibilities
- We train a unique model for each customer, which means model training and inference work differently here than at any other company. You'll never get more reps building model training infrastructure!
- Building the test infrastructure that lets us ship with confidence
Requirements
- Experience with cloud computing (especially GPU workloads), CI/CD infrastructure-as-code.
- Familiarity with or interest in ML workflows
- Python proficiency
- Must have a strong Computer Science background
Skills
- GPU allocation, instance sizing, cost optimization
Company info
- Data isolation between customers, product security, infrastructure hardening (SOC2 compliance and beyond)
- San Francisco (in-person, 5 days per week)
- Omnifold's Mission
- Every bad forecast has a physical consequence.
- Unnecessary goods are manufactured, shipped, and stored.
- Emergency air freight is needed for misallocated products.
- Poor production planning means workers show up with nothing to do, or work frantic overtime.
- Inefficiency is everywhere.
- Our mission is to eliminate waste and accelerate growth for every company with physical products.
- We are hiring for our Infrastructure Team, who own the systems that make everything else possible.
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This listing is sourced directly from Omnifold's careers page and normalized into a canonical job model.