ML Platform Engineer
Hadrian Automation2 months ago
Base Salary
$170k - $300k/yr
Responsibilities
- Build the production platform for reliable model use in drawing extraction, cycle-time prediction, forecasting, scheduling, and other factory workloads.
- Develop shared batch and online serving for tabular, vision, document-AI, scheduling, graph, and embedding workloads with defined latency, availability, and isolation SLAs.
- Create automated release and evaluation processes with tests, reproducible artifacts, lineage, shadow deployments, canaries, and A/B tests.
- Own online feature serving and contract integrity with offline feature tables while detecting training-serving skew, feature drift, bad data, and model degradation.
- Build telemetry, incident-response, autoscaling, resource and GPU management, cost-attribution, and secure model-routing tooling.
- Develop APIs, SDKs, reusable templates, and documentation that enable teams to adopt the platform independently.
Requirements
- Track record building and operating production ML infrastructure across multiple models or inference workloads.
- Strong production-level Python and SQL skills, including typing, testing, packaging, API design, and observability features.
- Hands-on experience with Kubernetes, containers, and distributed-system failure modes such as retries, partial failures, idempotence, and resource isolation.
- Experience with model registries, feature systems, batch or real-time inference, experiment tracking, or model CI/CD workflows.
- Practical judgment around latency, throughput, availability, multi-tenancy, autoscaling, and infrastructure cost optimization.
- Ability to build stable interfaces and collaborate with engineering and scientific stakeholders.
- Preferred experience implementing feature stores such as Feast, Tecton, or internal systems.
- Preferred production experience with Ray Serve, KServe, Triton, BentoML, SageMaker, Vertex AI, or custom gRPC inference services.
- Preferred experience serving and evaluating vision, document-understanding, embedding, or generative pipelines.
- Preferred expertise in GPU inference optimization, multi-model serving, edge inference, or Go/Rust performance-sensitive AI services.
- Background in regulated environments or open-source contributions to ML infrastructure projects is preferred.
- Must meet applicable ITAR eligibility requirements.
Benefits
- Medical, dental, vision, and life insurance
- 401(k)
- Flexible vacation policy
- Equity
- Relocation support may be provided in certain situations based on business need
- ITAR eligibility requirements apply
Tech Stack
Categories
About Hadrian Automation
Hadrian Automation builds autonomous, software-driven factories that manufacture precision components for aerospace and defense programs, including rockets, satellites, aircraft, and ships. The company operates a Factory-as-a-Service platform, combining AI, robotics, and full-stack machining and fabrication to deliver critical parts and production capacity. Founded in 2021 and headquartered in Los Angeles, it is privately held and expanding capabilities across welding, casting, forging, electronics, and additive manufacturing.