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Staff Research Engineer, Enterprise Knowledge

Training Superintelligence· R&D / Engineering
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Remote$250k - $400kfull-timePosted 3mo ago

About the role

Research Engineer role joining Turing to advance frontier AI systems, focusing on synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation, with responsibilities spanning research, system building, translation to product impact, and community contributions.

Responsibilities

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

Qualifications

  • PhD or Master’s degree in artificial intelligence, machine learning, computer science, or closely related field; exceptional equivalent research experience considered.
  • Technical depth in ML and experience designing experiments, training/evaluating models, and using modern AI tooling.
  • 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 in a research environment.
  • 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 design and methodologyData generation (synthetic/agentic)Reinforcement learningExperimentation and evaluationCommunicationCollaboration

Benefits

  • Compensation: $250,000 to $400,000 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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