Generative Ai & Machine Learning Engineer

Thomson Reuters Special Services (TRSS)

New York City, NY, USA
Base: $136,000 - $253,000 usd; bonus: eligible for...
Hybrid (2-3 days in office)
Proficiency in python programming
3+ years building ai/ml products
Experience with generative ai technologies
Thomson Reuters Special Services (TRSS) is seeking a Generative AI & Machine Learning Engineer to drive product development in AI and machine learning, focusing on data quality improvement and model deployment. The ideal candidate will have substantial experience in AI/ML technologies, particularly in generative AI, and will work collaboratively within a cross-functional team in a hybrid work environment

Job Summary

  • This role involves driving the end-to-end model development lifecycle for generative AI applications while ensuring reproducible research and well-managed software delivery.
  • The position requires a proactive leader who can translate complex business problems into right-sized solutions within a fast-paced, dynamic environment.
  • Employees benefit from a hybrid work model, flexible vacation policies, two company-wide Mental Health Days, and comprehensive retirement savings plans.

Matching Summary

Match Score: 85

Thomson Reuters Special Services (TRSS) is seeking a Generative AI & Machine Learning Engineer to drive product development in AI and machine learning, focusing on data quality improvement and model deployment. The ideal candidate will have substantial experience in AI/ML technologies, particularly in generative AI, and will work collaboratively within a cross-functional team in a hybrid work environment.

Salary

Base: $136,000 - $253,000 USD; Bonus: Eligible for Annual Bonus based on performance; Benefits: Comprehensive health, dental, vision, 401k match, tuition reimbursement

Skills & Requirements

Must-have

  • Proficiency in Python programming
  • 3+ years building AI/ML products
  • Experience with Generative AI technologies
  • RAG patterns and LangChain frameworks
  • End-to-end model development lifecycle
  • Technical leadership and stakeholder collaboration

Nice-to-have

  • Experience with AI Agent frameworks
  • Familiarity with LLM training and fine-tuning
  • Cloud solutions experience on AWS or Azure
  • Agile environment adaptability
  • Diverse problem-solving experiences
  • Strong communication with non-technical audiences

Key Requirements

  • Master's or Bachelor's degree in relevant discipline
  • U.S. Citizenship required
  • Ability to obtain U.S. national security clearance
  • 3+ years practical AI/ML product experience

Work Rights

Must have US citizenship

Tailored Resume

Cover Letter