MTS - Infrastructure
San Francisco, CAFull-timePosted 6mo agoStill listed 3 days ago
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Job overview
Omnifold is hiring a MTS - Infrastructure. Omnifold is seeking an MTS - Infrastructure to join their Infrastructure Team, which is responsible for the systems enabling custom AI model training and inference. This role involves building model training infrastructure, ensuring robust monitoring for user patterns, and working with a unique application interface for AI-driven forecasting. The position offers fast iteration speed and focuses on eliminating waste and accelerating growth for companies with physical products.
Key focus areas include Develop reliable processes for getting models and services into production, Ensure data isolation between customers and product security, and Harden infrastructure for SOC2 compliance and beyond.
Successful candidates bring Computer Science Background and GPU Cloud Computing Experience. Important skills include Cloud Computing, GPU Workloads, CI/CD Infrastructure-as-Code, AWS, Security Fundamentals, and Cryptography. Preferred (not required): ML Workflows.
Skills & qualifications
Skills
Qualifications
Full job description
Infrastructure Team Omnifold trains custom AI models that help planners forecast the future. We are hiring for our Infrastructure Team, who own the systems that make everything else possible.
What makes this job interesting:
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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!
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Our team has very fast iteration speed but needs robust monitoring to pick up signal on user patterns. This is especially important as our application interface for AI-driven forecasting is unique on the market.
What you’ll own
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Deployment: Reliable processes for getting models and services into production
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Security: Data isolation between customers, product security, infrastructure hardening (SOC2 compliance and beyond)
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Cloud resource management: GPU allocation, instance sizing, cost optimization
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Monitoring and logging: Visibility into what's running, what's failing, and why
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Data and ML ops: ETL pipelines from varied customer data sources, model versioning and lifecycle management
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Automated testing: Building the test infrastructure that lets us ship with confidence
What we’re looking for
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Experience with cloud computing (especially GPU workloads), CI/CD infrastructure-as-code. We run on AWS
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Familiarity with or interest in ML workflows
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Security fundamentals: encryption, access controls, compliance basics
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Python proficiency
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Must have a strong Computer Science background
Location: 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.
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