AI Research Engineer - Scalable ML Solutions

Thomson Reuters

Eagan (MN)

Hybrid

USD 88.000 - 164.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Hybrid Work Model
Mental Health Days off
Tuition Reimbursement
Volunteer Days

Zusammenfassung

Thomson Reuters Labs seeks a Research Engineer to advance AI and ML capabilities that transform legal, tax, accounting, and government workflows globally. You will help design, build, test, and deliver data-driven solutions across a fast-paced, collaborative environment.

You will work on scalable ML systems, deploy models, and partner with cross-functional teams to deliver customer value while learning and applying new technologies.

Qualifikationen

  • Bachelor of Science degree in Computer Science or a related field.
  • 2+ years software engineering experience, preferably in ML and NLP.
  • Experience with Python and related ecosystems.
  • Ability to deploy ML capabilities into production systems.
  • Familiarity with Python data science stack (NumPy, SciPy, Pandas, Dask, spaCy, NLTK, scikit-learn).
  • Proficiency in automation, monitoring, and cloud—AWS or Azure.

Aufgaben

  • Develop and deliver high-quality software across the SDLC.
  • Build scalable ML solutions and data pipelines for researchers.
  • Collaborate with cross-functional and remote teams in an agile environment.
  • Actively learn and apply new technologies to production-grade software.

Kenntnisse

Python
Machine Learning
NLP
Cloud platforms
Software development
Team collaboration

Ausbildung

Bachelor of Science in CS or related field

Tools

NumPy
SciPy
Pandas
Dask
spaCy
NLTK
scikit-learn

Jobbeschreibung

Thomson Reuters Labs seeks a Research Engineer to advance AI and ML capabilities that transform legal, tax, accounting, and government workflows globally. You will help design, build, test, and deliver data-driven solutions across a fast-paced, collaborative environment.

You will work on scalable ML systems, deploy models, and partner with cross-functional teams to deliver customer value while learning and applying new technologies.

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