Research Tools Engineer – AI Research Platform

Bison; New York (NY); On-site; USD 300,000 - 350,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision coverage

Unlimited PTO

Parental leave

Relocation support

Job summary

Thinking Machines is hiring to build and scale AI research infrastructure. You will own key parts of the platform for evaluation and training libraries, experiment tracking, and visualization tools, collaborating closely with researchers on bottlenecks and productizing tooling.

The role emphasizes cross-functional work, reproducibility, and delivering reliable systems researchers rely on daily, with opportunities to influence what to build next.

Qualifications

• Bachelor’s degree or equivalent practical experience in CS/engineering/ML.
• Two years post-grad software/ML engineer experience.
• Strong fundamentals and reliable systems.
• Python or Rust backend; React/Typescript frontend.
• Experience with databases and caching (Clickhouse, Redis).
• Ability to own projects from discovery to deployment.
• Experience collaborating with researchers and cross-functional partners.

Responsibilities

• Design, build, and maintain research infra, including evaluation frameworks, training systems, experiment tracking platforms, and visualization tools.
• Work across backend systems, data pipelines, and user-facing applications to deliver tools end to end.
• Partner directly with researchers to identify bottlenecks and unlock new capabilities. Treat research tooling as a product: proactively gather feedback, set priorities, and measure adoption.
• Build systems for reproducibility, traceability, and robust quality control across research experiments and model training runs, with monitoring and observability built in.

Skills

Python

Rust

React

Typescript

System design

Cross-functional

Education

Bachelor's degree

Equivalent practical experience

Tools

Clickhouse

Redis

Data pipelines

Job description

Thinking Machines is hiring to build and scale AI research infrastructure. You will own key parts of the platform for evaluation and training libraries, experiment tracking, and visualization tools, collaborating closely with researchers on bottlenecks and productizing tooling.

The role emphasizes cross-functional work, reproducibility, and delivering reliable systems researchers rely on daily, with opportunities to influence what to build next.