Research Engineer - Post Training

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at

SF or Palo Alto

The post-training team at Turing transforms powerful pre-trained models to become steerable, versatile, and capable of understanding and addressing real-world challenges.

As a post-training engineer, you will enhance the model s reasoning and coding ability to fulfill our mission – developing AI systems that can accurately understand the universe and generate novel insights.

• Define and execute strategies to advance model quality, reasoning, and coding capabilities.
• Improve data mixtures by building data collection pipelines and developing data generation techniques to create high-quality, diverse training mixtures.
• Create generalizable reward models and reinforcement learning algorithms.
• Design and implement robust and scalable model evaluations.
• Design and implement large-scale model training frameworks.
• Collaborate with reasoning, data, multimodal, applied, product efforts to integrate cutting-edge research into tangible model advancements.

• Deep expertise in ML and fine-tuning small or large language models.
• A proven track record in leading or contributing to research that has meaningfully advanced the field of AI.
• Hands-on experience improving LLM behavior through data-driven methods and advanced reinforcement learning techniques.
• Familiarity with optimizing models for complex challenges, such as multi-modality, long-context reasoning, or multi-agent systems.
• Optional:
  Experience building infra for large-scale reinforcement learning

Salary range: 170k–215k

• 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 AI and implement it in our own roles and workflow to amplify productivity.

• Amazing work culture (super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (surround yourself with top talent from Meta, Google, Linked In, etc., as well as people with deep startup experience)
• Competitive compensation

Don’t meet every single requirement? We are 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. We encourage you to apply if you’re excited about this role, even if your past experience doesn’t align perfectly with every qualification.

Is this role a fit for you? We may share future opportunities via email.