Lead AI/ML Research Engineer

Reuters; Eagan, Northern (MN, KY); Hybrid; USD 127,000 - 237,000; Full time

Benefits offered by this job

Hybrid Work Model

Mental Health Days

Tuition Reimbursement

Employee Stock Purchase Plan

Flexible Vacation

Job summary

Thomson Reuters Labs seeks a Lead Research Engineer to drive AI/ML strategy across Legal, Tax & Accounting, Government, and News. You will mentor teams, shape engineering standards, and build scalable data pipelines for novel algorithms.

The role blends research with production engineering in a fast-paced, globally distributed setting. You will lead end-to-end ML lifecycle, from concept to deployment, and collaborate with researchers to productionize ideas while embracing new technologies and

Qualifications

• Bachelor's degree in CS or related field.
• 8+ years software engineering, ML/NLP experience.
• Experience leading technical workstreams.
• Proficiency in Python and related stacks.
• Production ML systems design and deployment.
• Familiarity with AWS/Azure and cloud-native apps.
• Mentor engineers and promote best practices.

Responsibilities

• Provide technical leadership and establish standards.
• Develop and deliver scalable ML solutions and pipelines.
• Mentor engineers and collaborate with researchers.
• Translate research concepts into production systems.
• Drive ModelOps/MLOps and automation.
• Communicate effectively with cross-functional partners.

Skills

Python

ML & NLP

Leadership

Mentoring

Cloud-native applications

DevOps

ModelOps / MLOps

NLP tasks

Communication

Python ecosystem

Education

Bachelor of Science in CS or related field

Tools

NumPy

SciPy

Pandas

Dask

spaCy

NLTK

scikit-learn

PyTorch

Job description

Thomson Reuters Labs seeks a Lead Research Engineer to drive AI/ML strategy across Legal, Tax & Accounting, Government, and News. You will mentor teams, shape engineering standards, and build scalable data pipelines for novel algorithms.

The role blends research with production engineering in a fast-paced, globally distributed setting. You will lead end-to-end ML lifecycle, from concept to deployment, and collaborate with researchers to productionize ideas while embracing new technologies and