Senior Research Engineer, Frontier Data

Added
7 days ago
Type
Full time
Salary
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Related skills

machine learning reinforcement learning synthetic data post-training benchmarks

šŸ“‹ Description

  • Investigate the capabilities, limitations, and training methods of frontier AI systems.
  • Formulate research questions that can inform Turing’s products, platforms, and technical strategy.
  • Explore new approaches to synthetic and agentic data generation, reinforcement learning
  • Stay current with advances in machine learning and identify opportunities for meaningful technical
  • Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
  • Train, test, and evaluate models using modern AI and machine learning tools.

šŸŽÆ Requirements

  • PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely
  • Strong foundation in machine learning and practical experience designing experiments, training or
  • Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or
  • Strong programming skills and the ability to implement, test, and iterate quickly in a research
  • Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based
  • Clear written and verbal communication skills, intellectual curiosity, and the ability to work

šŸŽ Benefits

  • Work directly with leading AI labs and enterprises at the frontier of post-training and RL
  • Build datasets and environments that directly improve the capabilities of advanced AI systems.
  • Help advance coding agents’ ability to understand, plan, and execute complex software-engineering
  • Apply frontier AI innovations to high-value enterprise workflows.
  • Operate with high autonomy, rapid iteration, and meaningful commercial impact.
  • Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and
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