Not specified; not specified; comprehensive benefi...
Hybrid
5 years software engineering experience
2 years machine learning product experience
Deep understanding of python software development stacks
The role involves building large-scale data processing pipelines to help researchers train novel machine learning algorithms for global professionals
Job Summary
The role involves building large-scale data processing pipelines to help researchers train novel machine learning algorithms for global professionals.
Candidates must have a proven track record of independently delivering results in unfamiliar problem spaces while collaborating with cross-functional teams.
Thomson Reuters offers a hybrid work model, flexible vacation policies, mental health days, and comprehensive retirement savings plans.
Matching Summary
The role involves building large-scale data processing pipelines to help researchers train novel machine learning algorithms for global professionals.
Salary
Not specified; Not specified; Comprehensive benefit plans including flexible vacation and tuition reimbursement
Skills & Requirements
Must-have
5 years software engineering experience
2 years Machine Learning product experience
Deep understanding of Python software development stacks
Experience with cloud computing development
Experience implementing CI/CD and DevOps concepts
Nice-to-have
Experience integrating Generative AI into production
Understanding of ModelOps and MLOps principles
Hands-on experience in Java, Rust, Scala, or Typescript
Ability to translate research work into production solutions
Strong sense of urgency in fast-paced environments
Key Requirements
Bachelor's Degree in Computer Science or Equivalent Experience
At least 5 years software engineering experience
At least 2 years working on a Machine Learning related product