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Forward Deployed Machine Learning Engineer

talenthop • United States
Full Remote
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First dedicated role in Benchmarks and Evaluations vertical, partnering with leadership, researchers, and enterprise customers to establish technical foundation for evaluating foundation models. Builds production benchmarks, ML evaluation systems, backend infrastructure, and sandboxed execution environments while managing customer-facing engineering engagements. Requires 4+ years engineering experience, hands-on ML model evaluation expertise, and strong knowledge of ML frameworks, data pipelines, and orchestration systems.

Key Highlights
First dedicated hire in Benchmarks and Evaluations vertical
Combines ML evaluation, backend infrastructure, and customer-facing delivery
Fully remote position with competitive salary ($170K-$270K) and equity
Must have unrestricted U.S. work authorization
Key Responsibilities
Define, design, and build production benchmarks and evaluations with customers and internal researchers
Develop and maintain backend infrastructure including data pipelines, execution environments, storage, and orchestration
Create sandboxed environments for agentic evaluations involving tools, code execution, and multi-step tasks
Manage engineering aspects of customer engagements from technical scoping through to production delivery
Identify repeatable evaluation patterns and infrastructure gaps to develop scalable products
Navigate ambiguity effectively with strong technical judgment and clear written communication
Technical Skills Required
Machine Learning Data Pipelines Backend Infrastructure
Benefits & Perks
Competitive equity
Comprehensive benefits

Job Description

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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