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Staff Research Engineer

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

About the role

Research engineer role at Turing focused on frontier AI systems, data generation, reinforcement learning, evaluation, and translating research into scalable products and practical 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 ML advances.
  • Build and Evaluate Research Systems - Develop datasets, experiments, prototypes, tooling, and evaluation frameworks; train, test, and evaluate models; analyze results; establish rigorous experimental practices; iterate from hypothesis to validated insight.
  • Translate Research into Practical Impact - Collaborate with Research, Engineering, Product, and Operations; translate research findings into product/platform improvements; identify ideas ready for scalable deployment; communicate findings clearly to diverse audiences.
  • Contribute to the Research Community - Share findings via technical reports, open-source work, workshops or publications; 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
  • Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with 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 and ability to collaborate across research and engineering teams

Skills

Required:Research design and methodologyProgrammingMachine learning and AI toolingCommunication

Benefits

  • Competitive compensation with potential equity
  • Opportunities to publish and present at leading conferences (e.g., ICLR, ICML, NeurIPS)
  • Work with frontier AI labs and enterprises on high-impact projects
  • Autonomy, rapid iteration, and meaningful commercial impact
  • Collaborative environment with experienced colleagues from Google, Meta, Amazon, and other top tech companies
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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