AI Research Engineer — Hybrid, Impactful ML Systems

Socket.dev; Ann Arbor (MI); Hybrid; USD 88,200 - 163,800; Full time

Benefits offered by this job

Mental health days

401k with company match

Paid holidays

Job summary

Thomson Reuters Labs is seeking a Research Engineer to advance AI/ML capabilities that transform legal, tax, accounting, and government work globally. You will design, build, test and deliver high-quality software, while developing scalable ML pipelines and collaborating with remote teams across a fast-paced environment.

You should have a Bachelor of Science in Computer Science and at least two years in software engineering with ML/NLP focus, plus strong Python expertise and cloud familiarity.

Qualifications

• Bachelor of Science in Computer Science or related field.
• At least 2 years software engineering experience, ideally in ML and NLP.
• Experience with Python software development stacks and related ecosystems.

Responsibilities

• Develop and deliver high-quality software in the full SDLC.
• Build scalable ML solutions and data processing pipelines for researchers.
• Collaborate with cross-functional and remote teams in an agile environment.
• Deliver timely solutions in a fast-paced setting.
• Contribute innovative ideas and own end-to-end deliveries.
• Communicate effectively with partners and team members on technical developments.

Skills

Python

ML/NLP

Cloud AWS/Azure

REST APIs

NLP tasks

Education

Bachelor of Science in Computer Science

Tools

Python

Numpy

Pandas

SpaCy

NLTK

scikit-learn

Job description

Thomson Reuters Labs is seeking a Research Engineer to advance AI/ML capabilities that transform legal, tax, accounting, and government work globally. You will design, build, test and deliver high-quality software, while developing scalable ML pipelines and collaborating with remote teams across a fast-paced environment.

You should have a Bachelor of Science in Computer Science and at least two years in software engineering with ML/NLP focus, plus strong Python expertise and cloud familiarity.