Lead AI Evaluation & Benchmarking Engineer

Thomson Reuters

Ann Arbor (MI)

Ibrido

USD 127.000 - 237.000

Tempo pieno

7 ore fa
Candidati tra i primi

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Hybrid Work Model
Flex My Way
Career Development
Industry Competitive Benefits
Company Culture
Social Impact
Real-World Impact

Descrizione del lavoro

Thomson Reuters Labs seeks a Lead Research Engineer to design and deliver production-ready software for AI model evaluation and benchmarking. You will build scalable evaluation infra to compare LLMs, measure quality, cost, and latency, and guide model selection for products.

You’ll own the engineering approach from prototypes to reliable tools, collaborating with researchers, engineers, and product partners while shaping technical direction and delivery.

Competenze

  • 8–10+ years building production systems with ML or data.
  • Strong Python programming, API design, testing and data handling.
  • Leadership in end-to-end delivery and collaboration with researchers.

Mansioni

  • Lead delivery planning, staffing, and cost estimation for projects.
  • Design scalable evaluation infrastructure and production Python software.
  • Build automated evaluation pipelines linking model APIs, datasets, and scoring.
  • Maintain repeatable experiments with traceable results and costs.
  • Create user interfaces, docs, and evaluation reports for researchers.
  • Ensure reliability, performance, and responsible data use.

Conoscenze

Python
API design
ML model evaluation
Cloud platforms
SQL
Team leadership
Mentoring
Research collaboration

Formazione

Bachelor's degree in CS/Engineering or equivalent

Strumenti

AWS
Azure

Descrizione del lavoro

Thomson Reuters Labs seeks a Lead Research Engineer to design and deliver production-ready software for AI model evaluation and benchmarking. You will build scalable evaluation infra to compare LLMs, measure quality, cost, and latency, and guide model selection for products.

You’ll own the engineering approach from prototypes to reliable tools, collaborating with researchers, engineers, and product partners while shaping technical direction and delivery.

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