Senior Research Engineer, Enterprise Knowledge

Turings mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco Turing works with frontier AI labs to generate high-quality datasets reinforcement learning environments and frontier research benchmarks that improve model capabilities in software engineering enterprise knowledge work and advanced STEM software engineering Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services life sciences healthcare retail automotive and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides Turing closes the loop between frontier research and enterprise deployment turning real-world deployment signals into better data evaluations and more capable models. Learn more at .

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the worlds leading AI labs and enterprises. We create RL environments to evaluate and improve our customers models on complex long-range multi-step workflows across high-GDP-value domains such as Finance Sales Retail Developer Tools Collaboration Customer Experience.

The environments vary depending on the model capability being evaluated / improved a few examples of environment types are listed here:

1. Environments for Software Engineering / coding agents
2. UI-Environments for Computer-Use/Browser-Use agents
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications

We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data algorithms evaluation and training.

You will work at the intersection of research and engineering investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments develop research-grade prototypes and tooling and collaborate with Research Engineering Product and Operations teams to translate promising ideas into scalable applications.

This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation reinforcement learning post-training model understanding benchmarks and evaluation.

1. Conduct Research on Frontier AI Systems

• Investigate the capabilities limitations and training methods of frontier AI systems.
• Formulate research questions that can inform Turings products platforms and technical strategy.
• Explore new approaches to synthetic and agentic data generation reinforcement learning post-training model understanding benchmarks and evaluation.
• Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.

• Develop research-grade datasets experiments prototypes tooling and evaluation frameworks.
• Train test and evaluate models using modern AI and machine learning tools.
• Analyze results carefully and draw clear evidence-based conclusions.
• Establish sound practices for experimental rigor data quality reproducibility and interpretation.
• Iterate quickly from early hypothesis through validated technical insight.

• Collaborate closely with Research Engineering Product and Operations teams.
• Translate research findings into improvements for Turings products platforms and AI capabilities.
• Help identify which ideas are ready to move from exploration into scalable real-world applications.
• Communicate technical findings clearly to both specialized and cross-functional audiences.

• Share findings through technical reports publications open-source work workshops or conference participation where appropriate.
• Contribute to Turings research culture through technical discussions peer review mentorship and collaboration.
• Represent Turing thoughtfully within the broader AI research community.

• Research background: PhD or Masters degree in artificial intelligence machine learning computer science or a closely related technical field; exceptional equivalent research experience will also be considered.
• Technical depth: Strong foundation in machine learning and practical experience designing experiments training or evaluating models and working with modern AI tooling.
• Relevant expertise: Demonstrated research experience in synthetic or agentic data generation reinforcement learning or post-training AI understanding evaluation or benchmarks.
• Research engineering ability: Strong programming skills and the ability to implement test and iterate quickly in a research environment.
• Scientific judgment: Sound judgment around experimental rigor data quality reproducibility and evidence-based decision-making.
• Communication and collaboration: Clear written and verbal communication skills intellectual curiosity and the ability to work effectively across research and engineering teams.

• Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
• 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 tasks.
• 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 other leading technology companies.
• Contribute to research that may be shared through technical publications and leading conferences such as ICLR ICML and NeurIPS.

This role is required to be in office five days a week based in any of Turings offices in San Francisco Palo Alto or Seattle.

Compensation: $250000 to $350000 OTE Equity

• We are client first: We put our clients at the center of everything we do because their success is the ultimate measure of our value.
  
  
• We work at Start-Up Speed: We move fast stay agile and favor action because momentum is the foundation of perfection
  
  
• We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

• Work at the frontier of AI helping the worlds leading AI labs improve their most advanced models by building expert datasets RL environments and first-of-a-kind benchmarks.
  
  
• Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR ICML and NeurIPS.
  
  
• Bring frontier AI innovation to the enterprise applying lessons learned from leading AI labs to solve real-world business challenges.
  
  
• Collaborate with and learn from exceptional colleagues with deep AI experience from Google Meta Amazon and other leading technology companies.
  
  
• Move at the pace of AI innovation with the speed ownership and impact of a startup.

Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race religion color national origin gender gender identity sexual orientation age marital status disability protected veteran status or any other legally protected characteristics. At Turing we are dedicated to building a diverse inclusive and authentic workplaceand celebrate authenticity so if youre excited about this role but your past experience doesnt align perfectly with every qualification in the job description we encourage you to apply anyways. You may be just the right candidate for this or other roles.