Senior Research Engineer - Safety Tooling and Data

Cohere
New York
Full timeUSD 270,000 - 380,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Problem-solving","Communication","Leadership","Collaboration","Ownership"]

Senior Research Engineer in the Safety tooling team responsible for building and maintaining data synthesis, analysis, and management tooling to support model training and evaluation. You will own tooling repositories, enable rapid experimentation, ensure data quality, and collaborate with ML modeling to align data capabilities with experiments, while maintaining elegant, well-documented solutions.

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FursaFursa
Cohere
Cohere
3 months ago

Senior Research Engineer - Safety Tooling and Data

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Senior Research Engineer in the Safety tooling team responsible for building and maintaining data synthesis, analysis, and management tooling to support model training and evaluation. You will own tooling repositories, enable rapid experimentation, ensure data quality, and collaborate with ML modeling to align data capabilities with experiments, while maintaining elegant, well-documented solutions.
Location: New York
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation
  • •Create cohesive data infrastructure that supports continuous parallel operation with model experimentation
  • •Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation
  • •Collaborate with the ML modeling team to align data capabilities with experimental needs
  • •Maintain opinionated, well-documented solutions that become team standards

Pay and Benefits

Salary: USD 270,000 - 380,000 annually
Perks:Health InsuranceDental401kParantal LeaveHome OfficePaid Leave

Key Requirements

  • •Extremely strong software engineering skills.
  • •Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.
  • •Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).
  • •Demonstrated ability to own complex technical projects from conception to deployment.
  • •Understanding of ML data requirements and the intersection of data engineering with modeling workflows
Experience:AIEnterprise AI
Skills:Problem-solvingCommunicationLeadershipCollaborationOwnership
Languages:English
Tech Stack:PythonPyTorchTensorFlowJAXData pipelinesETLPandas

Company Brief

Cohere
Builds security-first foundation models and enterprise AI products (LLMs, retrieval, agent platforms) for regulated industries, enabling customizable, private deployments across cloud and on-premises for real-world business applications.
Industry: AI & Machine Learning
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: Toronto, Canada
Founded: 2019
Glassdoor
Glassdoor: 2.9
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