Company
Protege
Annual salary
$170k – $270k/yr
Location
Remote
Listed
40d ago
- Experience:
- 4 to 8 years
- Workplace:
- US-based
- Equity:
- Competitive equity
Remote.
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About this Role
We are looking for a Forward Deployed Machine Learning Engineer with 4+ years of experience to be the first MLE dedicated to Protege's Benchmarks and Evaluations vertical. You'll work directly with the GM and researchers to build the technical foundation for AI model evaluation, a critical capability at one of the most exciting data infrastructure companies in AI, backed by a16z, CRV, and others.
What you need
- 4+ years of engineering experience with hands-on ML model evaluation work
- Prior ownership of backend and infrastructure (data pipelines, execution environments)
- Experience building benchmarks, evals, or human data pipelines for LLMs
- High ambiguity tolerance and a strong bias to action in fast-moving environments
- Strong written communication skills for customer-facing and cross-functional work
What will you be doing?
Partner with the GM and early customers to define, design, and build benchmarks and evals across different domains and modalities
Build and own the backend infrastructure: data pipelines, execution environments, storage, and orchestration
Stand up sandboxed environments for agentic evals requiring tools, code execution, or multi-step tasks
Own the engineering portion of customer engagements end to end
Identify repeatable eval patterns and infrastructure gaps to drive product opportunities
Frequently Asked Questions
How do I apply for the Forward Deployed Machine Learning Engineer (Remote) role at Protege? +
Use the Apply for a referral button on this page to send us your LinkedIn and CV. If your experience fits, we'll introduce you to the recruiter filling this role. They'll email you to check you're interested, then put you forward for this job or others that suit you better. It's free.
What does this Protege role pay? +
The listing gives $170k – $270k/yr.
Is this role remote? +
Yes, the listing is remote. US-based.
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