Senior AI Research Engineer – Frontier Models & RL

turing

USA

Remote

USD 250.000 - 350.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Turing is seeking a Senior Research Engineer to advance frontier AI systems through large-scale datasets, RL environments, and evaluation frameworks that guide post-training improvements for coding, UI, and function-calling agents. This role sits at the intersection of research and engineering, turning experimental insights into scalable production capabilities.

You will collaborate with research, engineering, product, and operations teams, produce rigorous evaluations, and contribute to

Qualifikationen

  • Strong ML research background with experimental design.
  • Hands-on experience training, testing, and evaluating models.
  • Ability to translate research findings into product, platform, or capability improvements.
  • Commitment to reproducibility, data quality, and sound interpretation of results.
  • Comfort collaborating across research, engineering, product, and operations.

Aufgaben

  • Formulate and investigate research questions about frontier model capabilities, limitations, and training methods.
  • Design and run rigorous experiments, drawing evidence-based conclusions and iterating from hypothesis to insight.
  • Build research-grade datasets, prototypes, tooling, and evaluation frameworks for coding, UI, and function-calling environments.
  • Partner with research, engineering, product, and operations to move ideas into scalable production systems.
  • Contribute to the broader research community through reports, publications, or open-source work.

Kenntnisse

Frontier AI
Experimental design
Statistical analysis
Research translation
Team collaboration

Tools

RL environments
Synthetic data generation
Evaluation frameworks
Prototyping tooling

Jobbeschreibung

Turing is seeking a Senior Research Engineer to advance frontier AI systems through large-scale datasets, RL environments, and evaluation frameworks that guide post-training improvements for coding, UI, and function-calling agents. This role sits at the intersection of research and engineering, turning experimental insights into scalable production capabilities.

You will collaborate with research, engineering, product, and operations teams, produce rigorous evaluations, and contribute to

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