Talenthop
United States
ML Platform Engineer (Fully Remote)
- AI
- Artificial Intelligence
- C++
- Cloud
AI Summary
This is a fully remote **Machine Learning Engineer** role focused on building production benchmarks and evaluations for foundation models. Responsibilities include designing ML evaluation systems, managing backend infrastructure, and collaborating with customers and researchers. Requires 4+ years of ML evaluation experience, production deployment expertise, and strong backend/infrastructure knowledge.
Key Highlights
Fully remote role with high ownership and impact
$170K–$270K base salary + competitive equity
Focus on production benchmarks, backend infrastructure, and customer-facing ML evaluations
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Key Responsibilities
Define, design, and build production benchmarks and evaluations for foundation models
Develop and maintain backend infrastructure (data pipelines, orchestration, storage)
Create sandboxed environments for agentic evaluations (tools, code execution, multi-step tasks)
Manage customer engagements from technical scoping to production delivery
Identify scalable evaluation patterns and infrastructure gaps
Technical Skills Required
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Benefits & Perks
Comprehensive benefits (high-growth company)
Competitive equity
Equal opportunity employer
Job Description
This is a Fully Remote Job
About Our Client:
Our client operates in the AI data infrastructure sector, focusing on creating a secure marketplace and data lab for high-quality model-training data. The organization addresses challenges related to licensing sensitive, real-world datasets to vetted AI teams while ensuring governance, privacy, intellectual property, and security protections. It has secured $65 million in funding, including a $55 million Series A round, employs around 80 people, and is experiencing rapid growth after meeting its annual targets ahead of schedule.
About the Opportunity:
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