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About The Company Turing is a leading technology company dedicated to advancing artificial intelligence and machine learning solutions. Renowned for its innovative approach, Turing focuses on developing cutting-edge AI systems that have the potential to transform various industries. The company fosters a dynamic and collaborative work environment, attracting top talent from around the globe. With a commitment to excellence and a passion for innovation, Turing continually pushes the boundaries of what is possible in AI research and application. As part of its growth strategy, Turing invests heavily in research projects, including building datasets for large language model evaluation and training, to ensure the development of more reliable and capable AI systems. 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 is integral to our ongoing efforts to create verifiable software engineering tasks derived from public repository histories, employing synthetic approaches with human-in-the-loop contributions. The ideal candidate will have a strong background in software engineering, particularly in analyzing and managing complex open-source projects on GitHub. Your expertise will contribute to automating development environments, triaging issues, and assessing test coverage and quality to enhance the datasets used for training and evaluating LLMs. This position offers a unique opportunity to influence the future of AI-assisted software development while working on impactful projects in a fast-paced environment. Qualifications A minimum of 3+ years of professional experience in software engineering. Strong proficiency in JavaScript and TypeScript. Hands-on experience with Git, Docker, and setting up software pipelines. Ability to understand, navigate, and modify complex codebases effectively. Experience running, testing, and debugging real-world projects locally. Familiarity with open-source contributions or evaluations is advantageous. Responsibilities Analyze and triage issues across trending open-source repositories on GitHub, identifying challenges for LLMs. Set up and configure code repositories, including environment setup and Dockerization, to facilitate testing and evaluation. Assess unit test coverage and quality, providing insights to improve dataset robustness. Modify and run codebases locally to evaluate LLM performance in bug-fixing and code comprehension scenarios. Collaborate closely with research teams to design and select repositories and issues that pose challenges for language models. Lead or mentor junior engineers, fostering a collaborative environment and ensuring project deliverables are met. Benefits Turing offers a fully remote working environment, providing flexibility and work-life balance. You will have the opportunity to work on cutting-edge AI projects alongside leading industry experts, gaining valuable experience in AI research and software engineering. The company promotes continuous learning and professional growth, offering exposure to innovative tools and methodologies. Additionally, Turing supports a diverse and inclusive culture where talent and initiative are recognized and rewarded. As part of the team, you will contribute to impactful projects that shape the future of AI-driven software development. Equal Opportunity Turing is committed to creating an inclusive environment for all employees. We are proud to be an equal opportunity employer and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe diversity fosters innovation and are dedicated to providing a workplace where everyone can thrive and contribute to our mission of advancing AI technology.