About The Company
Turing is a leading technology company dedicated to advancing artificial intelligence and machine learning capabilities. Renowned for its innovative approach and commitment to excellence, Turing specializes in developing cutting-edge AI solutions that transform industries and empower businesses worldwide. With a focus on fostering a collaborative and inclusive work environment, Turing attracts top talent from across the globe to work on impactful projects that shape the future of technology. The company's mission is to accelerate the deployment of powerful AI systems while ensuring ethical and responsible AI development. Through continuous research, development, and collaboration with industry leaders, Turing remains at the forefront of AI innovation, driving meaningful change across multiple sectors.
About The Role
We are seeking experienced software engineers at the tech lead level to join our innovative team working on large language model (LLM) evaluation and training datasets. This role offers an exciting opportunity to contribute to building datasets that enable LLMs to solve complex and realistic software engineering problems. The ideal candidate will have a strong background in working with high-quality public repositories, particularly on GitHub, and possess hands-on experience in software development, environment automation, and code quality assessment. Your expertise will directly influence the development of verifiable software engineering tasks, supporting the expansion of dataset coverage across various programming languages and difficulty levels. This position is ideal for professionals passionate about AI, software engineering, and open-source contributions, eager to make a tangible impact in the AI research community.
Qualifications
To be successful in this role, candidates should possess a minimum of three years of professional experience in software engineering, with a strong emphasis on JavaScript and TypeScript. Proficiency with version control systems such as Git, containerization tools like Docker, and familiarity with setting up and managing software pipelines are essential. Candidates must have the ability to understand and navigate complex codebases, modify code, and run projects locally for testing and evaluation purposes. Experience contributing to or evaluating open-source projects is highly desirable. Additionally, candidates should demonstrate excellent problem-solving skills, attention to detail, and the ability to work collaboratively within a team environment. Prior experience in AI research or automation tools is considered a plus but not mandatory.
Responsibilities
- Analyze and triage GitHub issues across trending open-source libraries to identify challenging tasks for LLMs.
- Set up, configure, and maintain development environments, including Dockerization and environment setup for various repositories.
- Evaluate unit test coverage and assess code quality to ensure datasets meet research standards.
- Modify and run real-world codebases locally to test LLM performance in bug-fixing and code understanding scenarios.
- Collaborate closely with researchers to design and select repositories and issues that effectively challenge and evaluate LLM capabilities.
- Lead and mentor junior engineers, fostering a collaborative environment and ensuring project milestones are achieved.
- Document processes, findings, and best practices to facilitate continuous improvement and knowledge sharing within the team.
Benefits
Joining Turing provides an array of benefits designed to support your professional growth and work-life balance. As a remote-first organization, Turing offers the flexibility to work from anywhere, allowing you to create a personalized work environment. You will have the opportunity to participate in cutting-edge AI projects alongside leading industry experts, enhancing your skills and expanding your professional network. Turing also emphasizes continuous learning, providing access to resources and opportunities for skill development. Competitive compensation, flexible working hours, and the chance to contribute to impactful research initiatives make this an enriching career move for talented software engineers passionate about AI and software development.
Equal Opportunity
Turing is committed to creating a diverse and inclusive workplace. We believe that a variety of perspectives and experiences enhances our innovation and success. We are an equal opportunity employer and do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, or any other protected characteristic. All qualified applicants will receive consideration for employment without regard to any legally protected status. We encourage individuals from all backgrounds to apply and join our mission to shape the future of AI technology.
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