ML Lead: AI Evaluation & Benchmark Design

NewtonX

United States

Remote

USD 120,000 - 160,000

Full time

14 days+
Application generator

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Benefits offered by this job

Comprehensive Benefits
401k match with immediate vesting
Paid time off

Job summary

NewtonX is seeking an ML Lead to serve as the primary technical point of contact for clients' applied science and ML teams. In this role, you will design benchmarks in high-value verticals such as finance, legal, and healthcare while collaborating closely with recruiting to ensure expertise. Your background in applied machine learning will enable you to deliver precise evaluation systems, fostering growth and innovation across diverse industries.

This position offers significant career advancement opportunities in a rapidly growing environment.

Qualifications

  • 5 to 8 years of applied ML experience with substantive evaluation work.
  • Working fluency with LLM evaluation and statistical significance.
  • Ability to write Python and prototype scoring pipelines.

Responsibilities

  • Serve as the primary technical contact for clients' ML teams.
  • Design domain benchmarks for finance, legal, and healthcare.
  • Work directly with recruiting to define expert profiles.

Skills

Applied machine learning
Benchmark design
Statistical fluency
Programming (Python)
Client-facing presence
Commercial instinct

Education

Graduate degree in computer science, machine learning, or statistics

Tools

ML frameworks
Statistical software

Job description

NewtonX is seeking an ML Lead to serve as the primary technical point of contact for clients' applied science and ML teams. In this role, you will design benchmarks in high-value verticals such as finance, legal, and healthcare while collaborating closely with recruiting to ensure expertise. Your background in applied machine learning will enable you to deliver precise evaluation systems, fostering growth and innovation across diverse industries.

This position offers significant career advancement opportunities in a rapidly growing environment.

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