Senior Research Engineer, SWE

turing; United States; Remote; USD 250,000 - 350,000; Full time

Benefits offered by this job

Equity

Conference publications

Job summary

Turing is seeking a Senior Research Engineer to advance software-engineering AI agents. You will design data, environments, and benchmarks that help coding models plan, understand, and execute complex development tasks, blending foundational research with hands-on engineering.

You will build RL environments, synthetic data pipelines, and evaluation frameworks, train and test models with modern ML tools, and collaborate across research, engineering, product, and operations to translate findings

Qualifications

• Research background in machine learning, AI systems, or adjacent disciplines.
• Proficiency with modern AI and ML tooling for model training, testing, and evaluation.
• Ability to design rigorous experiments and iterate from hypothesis to validated insight.
• Strong communication skills for both specialized researchers and cross-functional audiences.
• Track record of contributing to AI research through publications, open-source work, or industry equivalents.

Responsibilities

• Investigate how coding agents and software-engineering models plan, write, and debug across multi-step development workflows.
• Build RL environments, synthetic data pipelines, and benchmarks tailored to software-engineering capabilities.
• Develop research‑grade prototypes, tooling, and evaluation frameworks; train, test, and assess models with modern ML tools.
• Translate research findings into practical improvements by collaborating with research, engineering, product, and operations teams.
• Share insights through technical reports, open‑source contributions, workshops, or conference participation at venues like ICLR, ICML, or NeurIPS.
• Establish practices for experimental rigor, reproducibility, and data quality across studies.

Skills

Machine learning research

AI systems

Experiment design

Communication skills

Research tooling

Tools

Modern ML tooling

Job description

Role overview

This senior research engineering position focuses on improving software-engineering AI agents, designing the data, environments, and benchmarks that help coding models plan, understand, and execute complex development tasks. The role combines foundational research with hands‑on engineering across synthetic data, reinforcement learning, and agentic evaluation.

Responsibilities

• Investigate how coding agents and software-engineering models plan, write, and debug across multi-step development workflows.
• Build RL environments, synthetic data pipelines, and benchmarks tailored to software-engineering capabilities.
• Develop research‑grade prototypes, tooling, and evaluation frameworks; train, test, and assess models with modern ML tools.
• Translate research findings into practical improvements by collaborating with research, engineering, product, and operations teams.
• Share insights through technical reports, open‑source contributions, workshops, or conference participation at venues like ICLR, ICML, or NeurIPS.
• Establish practices for experimental rigor, reproducibility, and data quality across studies.

Requirements

• Research background in machine learning, AI systems, or adjacent disciplines.
• Proficiency with modern AI and ML tooling for model training, testing, and evaluation.
• Ability to design rigorous experiments and iterate from hypothesis to validated insight.
• Strong communication skills for both specialized researchers and cross-functional audiences.
• Track record of contributing to AI research through publications, open-source work, or industry equivalents.

Nice to have

• Direct experience with software-engineering datasets, coding benchmarks, or RL environments for code generation.
• Familiarity with computer-use, browser-use, or function-calling agent design.
• Background in agentic AI evaluation across long-range, multi-step workflows in domains such as finance, retail, and developer tools.

Benefits and work setup

• Compensation range of $250,000 to $350,000 OTE plus equity.
• Opportunity to work directly with leading AI labs on coding-agent capability improvements.
• Potential to publish at top-tier AI research conferences.
• High-autonomy environment emphasizing rapid iteration and meaningful technical impact.