[Hiring] Research Engineer @Turing

Role Description

We are looking for a Research Engineer to help deliver frontier-quality datasets, RL environments, and evaluations that improve state-of-the-art models for leading AI labs and enterprise clients. This is a hands-on, research-facing technical leadership role.

• Work directly with customer researchers/engineers to translate their model and post-training goals into concrete data and environment specifications.
• Drive the production of data that meets extremely high standards for correctness, realism, diversity, difficulty, and measurable model lift.
• Operate in one or more of the following capability areas:
  • Coding and software engineering agents
  • RL environments and verifier-based training
  • Multimodal data and reasoning
  • STEM reasoning
  • Modern embodied AI / VLM-driven agents

Qualifications

• 4–5 years of experience building or improving deep learning systems where data quality mattered materially.
• Strong intuition for the “data ingredients” that drive model improvements.
• Ability to communicate clearly with researchers and engineers.
• Demonstrated ability to be extremely detail-oriented in diagnosing subtle data quality issues.
• Solid programming ability with a bias for shipping.
• Python proficiency required.
• Comfort with SQL/structured data workflows strongly preferred.
• For coding-focused work: proficiency in one or more major languages (e.g., C++, Java, Go, Rust, JS/TS) is a plus.
• Comfort designing quality systems.

Requirements

• Implement automated validation and filtering to achieve frontier-grade signal-to-noise.
• Develop synthetic data generation and augmentation pipelines where appropriate.
• Create documentation and data cards.
• Design and run evaluations that reflect the customer’s intended usage.
• Collaborate effectively with large production teams without being ops-heavy.

Benefits

• 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.