Machine Learning Research Engineer (foundational Research)
Thomson Reuters
Not specified; competitive compensation & benefits...
Hybrid (2-3 days a week in the office)
3+ years ml/nlp/ai system experience
Pytorch jax huggingface transformers proficiency
Production-quality code and data pipelines
Thomson Reuters is seeking a Machine Learning Research Engineer to join its foundational research team, focusing on advanced AI systems, particularly in the realm of Large Language Models (LLMs). The role involves designing, coding, and conducting experiments, with a strong emphasis on collaboration and innovation in a hybrid work environment
Job Summary
This role involves building robust, scalable systems for training and evaluating large language models within a cutting-edge research environment.
Candidates will collaborate with world-leading academic partners and subject matter experts to translate novel research ideas into production-ready implementations.
The position offers access to unprecedented legal and regulatory data resources along with significant cloud computing capabilities for researchers.
Matching Summary
Match Score: 85
Thomson Reuters is seeking a Machine Learning Research Engineer to join its foundational research team, focusing on advanced AI systems, particularly in the realm of Large Language Models (LLMs). The role involves designing, coding, and conducting experiments, with a strong emphasis on collaboration and innovation in a hybrid work environment.
Salary
Not specified; Competitive compensation & benefits packages; Flexible vacation and mental health days included
Skills & Requirements
Must-have
3+ years ML/NLP/AI system experience
PyTorch Jax HuggingFace Transformers proficiency
Production-quality code and data pipelines
LLM training methodologies understanding
Distributed computing frameworks experience
Nice-to-have
Track record of ML publications or open source
Experience with synthetic data generation
Agentic workflow implementation skills
Cloud infrastructure training experience
Strong interest in staying current with research
Key Requirements
Bachelor's or Master's degree in Computer Science or Engineering
3+ years hands-on experience building ML systems
Proficiency in PyTorch, Jax, and HuggingFace Transformers