ML Infrastructure Engineer: Scale Data, Training & Evaluation

DeepReach Inc.; San Jose (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Free food

401(k)

Generous PTO

Job summary

DeepReach Inc. is seeking a Member of Technical Staff for ML Infrastructure to build core systems for large-scale robotics data and model development. The ideal candidate will have a Bachelor's degree in Computer Science and strong engineering experience, particularly in ML infrastructure and data systems. This role requires strong coding skills in Python and experience with distributed training and data pipelines. The position is onsite in the Bay Area, CA and offers an opportunity to work on cutting-edge robotics applications, alongside benefits like health insurance and 401(k).

Qualifications

• Bachelor’s degree or equivalent practical experience in relevant fields.
• Strong engineering experience in ML infrastructure and data platforms.
• Ability to build fast, pragmatic systems in a startup environment.
• Strong ownership and debugging skills across infrastructure and ML workflows.

Responsibilities

• Build and maintain infrastructure for robotics data processing.
• Develop scalable pipelines for robotics datasets.
• Improve internal tooling for training runs and dataset management.
• Design internal benchmarks to make model progress measurable.
• Work closely with teams to enhance training and evaluation workflows.

Skills

Engineering experience in ML infrastructure

Strong coding skills in Python

Experience with distributed training

Knowledge of data pipelines

Interest in robotics

Education

Bachelor's degree in Computer Science or related field

Tools

Modern ML tooling

Job description

DeepReach Inc. is seeking a Member of Technical Staff for ML Infrastructure to build core systems for large-scale robotics data and model development. The ideal candidate will have a Bachelor's degree in Computer Science and strong engineering experience, particularly in ML infrastructure and data systems. This role requires strong coding skills in Python and experience with distributed training and data pipelines. The position is onsite in the Bay Area, CA and offers an opportunity to work on cutting-edge robotics applications, alongside benefits like health insurance and 401(k).