ML Product Engineer for Genome Inference Platform

jobr.pro; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Radical Numerics in San Francisco is seeking a Member of Technical Staff, ML Product Engineer to develop APIs and systems that support genome-scale workloads. This critical role involves building reliable batch systems and ensuring efficient inference for scientific applications.

The ideal candidate will have experience with distributed systems and a strong background in Python. The position emphasizes collaboration with scientists and partners to enhance the developer experience of the Omnii platform.

Qualifications

• Experience building and operating backend or distributed systems at production scale.
• Ability to develop models as a service with a focus on inference and serving.
• Familiarity with genome-scale workloads.

Responsibilities

• Build real-time serving APIs for genome-scale workloads.
• Design compute and orchestration layers for job queues and autoscaling.
• Package the platform for use in partner environments.

Skills

Backend or distributed systems

Inference and throughput

Production code in Python

Asynchronous or batch job systems

Product judgment

Tools

Containers

Job description

Radical Numerics in San Francisco is seeking a Member of Technical Staff, ML Product Engineer to develop APIs and systems that support genome-scale workloads. This critical role involves building reliable batch systems and ensuring efficient inference for scientific applications.

The ideal candidate will have experience with distributed systems and a strong background in Python. The position emphasizes collaboration with scientists and partners to enhance the developer experience of the Omnii platform.