---
title: 'Senior Technical Recruiter - Research Engineering Pod at Turing'
canonical: 'https://feeny.ai/job/senior-technical-recruiter-research-engineering-pod-turing-united-states-kw26pb4fdb62'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Technical Recruiter - Research Engineering Pod at Turing

- **Company:** Turing
- **Location:** United States
- **Posted:** 2026-08-30
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/turing/jobs/6174416004

## Job description

## About Turing

Turing’s 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 reasoning. In 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 [www.turing.com](http://www.turing.com/).

Turing is looking for a Senior Technical Recruiter to join our embedded Research Engineering Recruitment Pod. In this role, you will work side-by-side with our Research Scientists, Research Engineers, and AI leadership to source, engage, and close the talent building at the frontier of AI.

This is not a high-volume, transactional recruiting role. The talent pool for elite Research Engineers and Forward-Deployed Engineers is highly concentrated, hyper-competitive, and continuously targeted by frontier labs. You will act as an embedded strategic partner, mapping passive talent ecosystems across academia, quantitative research, and open-source networks, developing technically informed candidate pipelines, and orchestrating bespoke closing strategies for candidates who do not move through standard corporate hiring funnels.

The Anti-Sell

This is a high-urgency recruiting role. You will compete head-to-head with frontier AI labs and hyperscalers for candidates who are often managing multiple highly competitive offers. Winning in this market requires deep technical literacy, exceptional speed, and continuous market intelligence.

This isn’t for everyone. But if you want to work on an elite team to hire the most sought-after talent in frontier AI and help build the teams defining what comes next in the field, this role may be for you!

## What You'll Do

Sourcing & Pipeline Building

- Look beyond standard keyword searches by continuously tracking arXiv preprints, GitHub activity, OpenReview submissions, and open-source contributions.
- Map and cultivate passive talent ecosystems across top PhD programs (Stanford, MIT, CMU), frontier research labs and high-growth AI startups.
- Build proactive candidate pipelines long before formal requisitions open, using emerging signals across research, open-source, and professional networks to identify and engage exceptional talent early.

Engaging Incredibly Hard-to-Reach Talent

- Reach passive researchers, Research Engineers, and Forward-Deployed Engineers who do not respond to generic recruiter outreach.
- Demonstrate the technical fluency to assess candidate relevance, understand research contributions, and partner with technical leaders on candidate calibration across relevant technical domains.

Closing Highly Sought-After Talent

- Partner directly with the CEO, CTO, and research leaders to design and execute individualized closing playbooks for highly sought-after talent.
- Win contested offers by understanding each candidate’s motivations and leveraging the aspects of the opportunity that matter most to them.

## What We're Looking For

- Technical Recruiting Track Record: 4+ years of full-lifecycle technical recruiting experience, with proven depth in AI/ML, Research Engineering, Distributed Systems, or Forward-Deployed Engineering.

- Domain Literacy: Ability to speak credibly with top researchers and technical leaders.

- Proven Closer: Demonstrated track record of personally sourcing and closing highly sought-after candidates against competing offers from frontier labs or hyperscalers.

- Compensation & Equity Fluency: Strong understanding of private-company equity, technical compensation, and competitive market benchmarking.

- High Ownership & Startup Speed: Ability to operate with high urgency in a fast-moving AI research environment.

What Success Looks Like

- Compounding Talent Density: Continuously raising the technical caliber and execution velocity of Turing’s Research Engineering and Forward-Deployed AI teams.
- High Win Rates: Consistently converting highly sought-after candidates and maintaining strong offer acceptance rates in contested searches.
- Trusted Technical Partnership: Earning deep trust with research directors and technical leads, acting as an embedded advisor who understands the research roadmap.

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 AI 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

- Work at the frontier of AI, helping the world’s 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 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](https://www.turing.com/policy).

## About Turing

## Company Overview
- **One-liner**: Turing is an AI company that partners with leading AI labs and enterprises to advance frontier model capabilities and deploy end-to-end AI systems for mission-critical workflows.
- **Entity Type**: Private (raised $111M at a $2.2B valuation)
- **Headquarters**: San Francisco, California, United States (also offices in Palo Alto, CA)
- **Founded**: 2018
- **Founders**: Jonathan and Vijay (computer science alumni)

## Core Business
- Primary industry: Artificial Intelligence, Technology, Information and Internet
- Target customers: B2B, including Fortune 500 companies, frontier AI labs, and enterprises
- Mission: “Accelerate superintelligence to drive real economic progress”
- Operates across multiple areas: reasoning, coding, multimodality, multilinguality, STEM, agentic behavior, and frontier knowledge

## Products & Services
- **Frontier AI Lab Partnerships**: Collaborate with leading AI labs to build data, evaluations, and benchmarks that push the AI frontier forward (e.g., RL environments, data generation for pre-training/post-training).
- **Enterprise AI Systems**: Build and deploy end-to-end AI systems for mission-critical enterprise workflows.
- **Turing Talent Cloud**: AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts used to train models and build AI applications.
- **ALAN Platform**: AI-powered platform for matching, managing talent, and generating high-quality human and synthetic data for model evals, fine-tuning, RLHF, and benchmarking.

## Market Standing
- **Valuation/Market Cap**: $2.2 billion (most recent funding round amount not explicitly dated, but cited on careers page)
- **Key Metric**: Total funding of $111M (from the $2.2B valuation round)
- **Notable Investors/Partners**: Adam D’Angelo (Facebook’s first CTO), Foundation Capital (backers of Netflix, Uber), executives from Microsoft, and others. Partners include Fortune 500 companies.
- **Growth Signals**: 48.1% YoY employee growth (reaching 3,896 employees), #1 on The Information’s “Top 50 Most Promising B2B Companies”, named one of Fast Company’s top 10 companies in the Workplace category, active job postings of 2,700 (+66.9% YoY).

## Competitive Advantages
- AI-vetted talent pool of over 4 million professionals, enabling rapid scaling of AI projects.
- Proprietary ALAN platform that orchestrates talent matching, data generation, and model evaluation.
- Deep partnerships with frontier AI labs, including work on large-scale RL environments and data generation.
- History of being built by engineering leaders from Facebook, Microsoft, and other top tech companies.
- Strong brand recognition and trust among enterprise clients (zero-risk trial for hiring).

## Strategic Focus
- Advancing artificial general intelligence (AGI) by improving model capabilities in reasoning, coding, agentic behavior, and multimodality.
- Expanding enterprise AI deployment across industries (e.g., financial services, robotics, STEM).
- Scaling the talent cloud and ALAN platform to support pre-training, post-training, and AI application development.
- Growing the workforce with a focus on research, engineering, and data science roles.

## Why Work Here
- **Culture**: Emphasizes “client first”, “startup speed”, “AI forward”, and “work with joy”. Described as a fast-paced, innovative environment.
- **Remote/Hybrid**: Many roles are remote-first globally, with offices in San Francisco and Palo Alto for in-person collaboration.
- **Perks**: Work on frontier AI technology with top labs; flexible, well-paid remote work; opportunities to contribute to superintelligence; strong career growth (48% YoY headcount increase).
- **Engineering Culture**: Heavy focus on R&D, research engineering, and data science; roles include Principal Research Engineer, Robotics Engineer, and Head of Applied AI Lab.
- **Workforce Diversity**: Operates in 100+ countries, with employees from India, US, Pakistan, Nigeria, Brazil, etc.

## Sources
1. [careers.turing.com](https://careers.turing.com/)
2. [job-boards.greenhouse.io/turing](http://job-boards.greenhouse.io/turing)
3. [linkedin.com/company/turingcom](https://www.linkedin.com/company/turingcom)
4. [welcome.turing.com/about/](https://welcome.turing.com/about/)
5. [turing.com/jobs](https://www.turing.com/jobs)

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