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# Senior Machine Learning Research Engineer

- **Company:** Scale Inc
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Performance Tuning
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-machine-learning-research-engineer-10002-new-york-ny-usa-58870400

## About the Role

performance * Collaborate with ML engineers, software engineers, product managers, customers, data annotators, and Forward Deployed Engineers to take work from idea to production * Set AI/ML technical direction and mentor senior and staff-track engineers across teams, raising the bar on experimentation and standards across AIS Tasks * 5+ years of experience as an ML engineer or applied/research scientist with production model training/fine-tuning * Broad fluency across the agentic ML stack (training/fine-tuning, evaluation/infrastructure, agent architecture) with depth in at least one area * Ability to move across problem areas and learn unfamiliar parts of a system quickly * Track record of productionizing research and pushing code to production * Experience setting AI/ML technical direction and collaborating with cross-functional teams * Experience mentoring engineers and scientists and influencing broader standards Key requirements * comprehensive health, dental and vision coverage * a
technical benefits * learning and development stipend * generous PTO * commuter stipend optional

## Description

Experteer Overview In this role, you drive AI/ML direction across Applied Intelligence Systems, tackling the hardest production ML problems in agentic AI. You'll prototype novel methods, build production-ready agents and tooling, and mentor engineers as you move across problem areas to maximize technical leverage. You shape architectures and standards used by multiple teams, delivering impactful AI capabilities for enterprise and government use. This role combines hands-on research with engineering leadership to raise the bar across AIS. Compensation / Benefits * Move across AIS core problem areas (training/fine-tuning, inference, memory and retrieval, evaluation/observability, orchestration, tool-use infrastructure, applied research) to maximize technical leverage * Research and prototype methods for production-ready agent performance improvements and validate them with rigorous experiments * Build AI agents and internal tooling to reduce bottlenecks in AIS processes and accelerate experimentation * Collaborate with ML engineers, software engineers, product managers, customers, data annotators, and Forward Deployed Engineers to take work from idea to production * Set AI/ML technical direction and mentor senior and staff-track engineers across teams, raising the bar on experimentation and standards across AIS Tasks * 5+ years of experience as an ML engineer or applied/research scientist with production model training/fine-tuning * Broad fluency across the agentic ML stack (training/fine-tuning, evaluation/infrastructure, agent architecture) with depth in at least one area * Ability to move across problem areas and learn unfamiliar parts of a system quickly * Track record of productionizing research and pushing code to production * Experience setting AI/ML technical direction and collaborating with cross-functional teams * Experience mentoring engineers and scientists and influencing broader standards Key requirements * comprehensive health, dental and vision coverage * retirement benefits * learning and development stipend * generous PTO * commuter stipend optional


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