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Senior Research Engineer

Training Superintelligence· R&D / Engineering
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Remote$250k - $350knot specifiedPosted 3w ago

About the role

Senior Research Engineer position at Turing focusing on frontier AI systems, data generation, reinforcement learning environments, and evaluation methodologies. Role spans research and engineering with collaboration across Research, Engineering, Product, and Operations to translate findings into scalable, real-world AI capabilities.

Responsibilities

  • Conduct Research on Frontier AI Systems: investigate capabilities, limitations, and training methods of frontier AI systems; formulate research questions; explore synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation; stay current with advances in machine learning.
  • Build and Evaluate Research Systems: develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks; train, test, and evaluate models using modern AI tools; analyze results; establish reproducibility and data quality practices; iterate quickly from hypothesis to insight.
  • Translate Research into Practical Impact: collaborate with Research, Engineering, Product, and Operations; translate findings into product/platform improvements; identify ideas ready to scale; communicate findings to cross-functional audiences.
  • Contribute to the Research Community: share findings via reports, publications, open-source work, workshops or conferences; contribute to Turing’s research culture; represent Turing in the AI research community.

Qualifications

  • PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related field; exceptional equivalent research experience considered.
  • Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and using modern AI tooling.
  • Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
  • Strong programming skills and ability to implement, test, and iterate quickly in a research environment.
  • Sound scientific judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
  • Clear written and verbal communication, intellectual curiosity, and ability to collaborate across research and engineering teams.

Skills

Required:Research experience in frontier AI systemsExperiment design and analysisData generation (synthetic/agentic)Reinforcement learningProgramming

Benefits

  • Compensation: $250,000 to $350,000 OTE + Equity
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Training Superintelligence

Turing develops large-scale RL environments and data generation systems that train multimodal agents to improve model performance in coding, real-world, economically valuable tasks, and advanced STEM reasoning.

Train AIBuild AIHire AI TalentAI for BFSIEMNAIDatasetsEnterprise Knowledge WorkMultimodal
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