Member of Technical Staff, ML Engineer

The role

This person will build the APIs, compute systems, and services that enable fast and reliable inference for the Omnii genome language model. You will design orchestration layers, developer-facing products, and packaging for partner environments.

What you will do

• Build the inference APIs behind Omnii for real-time serving and large batch scoring.
• Design the compute and orchestration layer including job queues, autoscaling GPU inference, and fault tolerance.
• Build the developer-facing product including the API surface, SDKs, and documentation.
• Drive down cost and latency per inference.
• Package the platform to run inside partner environments like on-prem and air-gapped installs.
• Work with scientists and partners to shape the API around real inference workloads.

Required qualifications

• Built and operated backend or distributed systems at production scale.
• Shipped a model as a service that other people depended on.
• Built asynchronous or batch job systems at scale.
• Write production code in Python and at least one typed language.
• Comfortable with containers and infrastructure as code.
• Have product judgment.
• Operate well with ambiguity.

Nice to have

• GPU inference internals: vLLM, TensorRT-LLM, or Triton, with hands-on performance tuning.
• Experience deploying software into locked-down environments such as enterprise VPC, on-prem, or air-gapped.
• Familiarity with genomics or computational biology, or a real appetite to learn it fast.
• Experience standing up an external API product from the first endpoint forward.

About the company

Radical Numerics is an AI research lab building general biological intelligence. Their mission is to master the code of life to reduce human suffering.