Senior AI/ML Research Engineer - Scalable Data Solutions

Thomson Reuters Corp.

Eagan, Northern (MN, KY)

Hybrid

USD 110,000 - 235,000

Full time

3 days ago
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Benefits offered by this job

Hybrid Work Model
Flex My Way
Career Development
Benefits Package
Volunteering Days
ESG Initiatives

Job summary

Thomson Reuters Labs is hiring a Senior Research Engineer in a hybrid role across multiple locations. You will develop scalable ML systems, build data pipelines, and collaborate with researchers to productionize cutting-edge AI solutions.

A strong Python background, ML experience, and cloud know-how are essential. You will work with cross-functional teams on fast-paced projects, drive end-to-end delivery, and contribute to impactful products that serve legal, tax, government, and news domains

Qualifications

  • Bachelor's degree in CS or related field.
  • At least 5 years software engineering experience.
  • At least 2 years working on an ML product/solution.
  • Deep Python knowledge and ecosystem; clean, tested code.

Responsibilities

  • Develop and deliver high-quality software solutions across the lifecycle.
  • Build large-scale ML data processing pipelines and scalable systems.
  • Collaborate with cross-functional and remote teams in an Agile environment.
  • Adopt and apply emerging technologies to solve complex problems.
  • Communicate effectively with researchers and engineers to productionize research.

Skills

Python
CI/CD
DevOps
MLOps
NLP

Education

Bachelor's degree in Computer Science or related field

Tools

Java
Rust
Scala
Typescript

Job description

Thomson Reuters Labs is hiring a Senior Research Engineer in a hybrid role across multiple locations. You will develop scalable ML systems, build data pipelines, and collaborate with researchers to productionize cutting-edge AI solutions.

A strong Python background, ML experience, and cloud know-how are essential. You will work with cross-functional teams on fast-paced projects, drive end-to-end delivery, and contribute to impactful products that serve legal, tax, government, and news domains

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