Raydar
Forward Deployed Machine Learning Engineer
$170K–$270K
United States · Remote · Full-time · Posted Sep 23, 2026
- Experience
- 4 or more years of engineering experience.
- Education
- A degree in computer science, physics, or a related technical field.
- Visa sponsorship
- Requires current unrestricted U.S. work authorization without visa sponsorship.
About the job
Build production machine-learning benchmarks and evaluation systems, backend infrastructure, and customer-facing solutions for foundation models.
What you'll do
- Design and build benchmarks and evaluations with customers and researchers.
- Build and own backend infrastructure, including data pipelines, execution environments, storage, and orchestration.
- Lead engineering for customer engagements from technical scoping through production delivery.
What they ask for
- 4 or more years of engineering experience, including hands-on machine learning model evaluation work.
- Experience deploying end-to-end ML evaluation or benchmark systems to production.
- Proficiency with ML evaluation frameworks and benchmark design, including approaches such as LLM-as-judge.
- Customer-facing enterprise engineering experience and ownership of backend or infrastructure systems.
Nice to have
- Experience with LLM evaluations or human-data pipelines, or working with AI researchers or foundation-model labs.
- Published work or open-source contributions in ML evaluations or benchmarks; early-stage B2B startup or forward-deployed experience.
Pay
$170K-$270K base salary
AI focus
Develop benchmarks and evaluations for foundation models, including agentic evaluations with tools, code execution, and multi-step tasks.
Model-written summary · the original posting is authoritative