Staff Research Engineer, Enterprise Knowledge

Foundation Capital; United States; On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive pay

Flexible hours

Collaborative culture

Job summary

Turing in San Francisco seeks a Frontier Data Lead – RL to own end-to-end RL environment projects for frontier AI labs and enterprises. You will lead cross-functional teams of engineers, researchers, data ops, and domain experts to deliver high-quality environments that meet client specs and drive revenue.

This hands-on leadership role requires strong coding ability (Python/SQL), systems thinking to model data schemas and APIs, and the ability to collaborate with researchers and sales to

Qualifications

• RL post-training and environment design experience.
• Experience leading engineering teams, including hiring and QA processes.
• Ability to model data schemas and APIs for apps.
• Hands-on coding with Python and SQL.
• Strong stakeholder management across researchers and clients.

Responsibilities

• Lead RL environment projects end-to-end for one or more clients.
• Define data quality standards and validation procedures.
• Build and mentor cross-functional teams of engineers, researchers, and data specialists.
• Set processes for environment code, schemas, seed data, tasks, and verifiers.
• Manage client relationships and identify opportunities to grow project scope and revenue.
• Participate in client solutioning conversations with sales.
• Run evals and post-training experiments to demonstrate value.

Skills

RL & Post-training

Engineering Management

Systems thinking

Python & SQL

Data pipelines

Cross-functional communication

Education

Computer Science / ML background

Job description

About Turing

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 www.turing.com

About Turing

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises, including OpenAI, Anthropic, Google DeepMind, Microsoft AI, Amazon, Apple, and many more. 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.

The Role

We are looking for a Frontier Data Lead – RL to own the end-to-end lifecycle of RL environment projects, spanning environment design, task generation, reward/verifier design, quality, and delivery to frontier AI labs and enterprise clients.

This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and build RL environments specific to their needs. You will lead teams of engineers, subject matter experts (e.g. Finance expert, if you’re building an RL environment for investment banking workflows), researchers, and data ops teammates to achieve this.

What You’ll Do

• End-to-End Ownership: Lead RL Environment projects end-to-end for one or more clients, ensuring the environment you and your team create matches the client’s spec, surpasses quality expectations, and is delivered on time.
• Data Quality: Ensure the RL environments you produce, the data that goes into those environments, and the the data generated from them (e.g. agent trajectories and reward scores) meet frontier standards for realism, difficulty, diversity.
• Team building and enablement: Work with your Ops counterparts to build the team of full-stack engineers, back-end engineers, domain experts, QAs, data creators, reviewers, and others you’ll need to deliver the environment on time. You’ll interview, hire, onboard, train, retain talent for your team
• Process Leadership: Set the process that each of the above team members follows to generate environment code, database schemas, seed data, tasks, and verifiers; set up quality rubrics, automated validation scripts, and human-in-the-loop review processes for every aspect of the environment and data for the environment.
• Customer Interaction: Own customer relationships for your RL Environment project(s), and act as the primary point of contact for leading AI labs, providing regular updates, asking for feedback, and identifying opportunities to grow project scope and revenue.
• Sales & Solutioning: participate in client solutioning conversations alongside our sales teammates; understand the needs of researchers at AI labs, translate those needs into environment goals
• Evals & Post-training: Demonstrate proof of value for your environments by running inhouse RL fine tuning experiments to measure model performance lifts on agent trajectories; or by producing eval reports of frontier models on your environment and tasks

Who We’re Looking For

• RL & Post-training experience: familiarity with RL fine tuning, verifier/reward design, and/or environment design
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.
• Systems thinking + Database/API design: ability to ‘simulate’ the data schema and API interface of a consumer or business application
• Hands-on technical capability: willing to write code along with the team you’re managing; Python and SQL experience preferred
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing

• Work directly with the world’s leading AI labs and enterprises at the cutting edge of RL environment design and post-training.
• Real impact: your environments will be used to evaluate and train frontier models on GDP-moving tasks across real-world domains
• Talent-dense team, where you'll find high autonomy, rapid iteration, and rapid learning curve

Values:

• 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 Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing:

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification.

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 workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t 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.

For applicants from the European Union, please review Turing's GDPR notice here.