About The Company
Turing is a leading technology company dedicated to advancing artificial intelligence and machine learning solutions. Renowned for its innovative approach, Turing specializes in developing cutting-edge AI systems that have the potential to transform various industries. The company fosters a dynamic and inclusive work environment, emphasizing continuous learning, collaboration, and technological excellence. With a global presence and a commitment to pushing the boundaries of AI research and application, Turing is at the forefront of shaping the future of intelligent 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 involves contributing directly to projects that aim to improve the understanding and performance of LLMs in realistic software engineering tasks. The ideal candidate will possess a deep understanding of high-quality public repositories, automation, and software development best practices. Responsibilities include automating development environments, triaging issues, and assessing test coverage and code quality. This position offers an excellent opportunity to work at the intersection of software engineering and AI research, influencing the future of AI-assisted software development.
Qualifications
The ideal candidate should have a minimum of three years of professional experience in software engineering, with strong proficiency in JavaScript and TypeScript. Experience with version control systems like Git, containerization tools such as Docker, and familiarity with setting up and maintaining software pipelines are essential. Candidates should demonstrate the ability to understand complex codebases, modify and run code locally, and evaluate software quality. Prior experience contributing to or evaluating open-source projects is a plus. Additional skills in automation, environment setup, and troubleshooting will be highly valued.
Responsibilities
- Analyze and triage GitHub issues across trending open-source libraries to identify challenges for LLM evaluation.
- Set up and configure code repositories, including Dockerization and environment setup, to facilitate testing and development.
- Evaluate unit test coverage and code quality, providing insights to improve robustness and reliability.
- Modify and run codebases locally to assess LLM performance in bug-fixing and code understanding scenarios.
- Collaborate with research teams to design and identify repositories and issues that are challenging for LLMs, contributing to dataset expansion and validation.
- Lead and mentor junior engineers, fostering a collaborative environment and ensuring project milestones are met.
Benefits
Joining Turing provides the opportunity to work remotely in a flexible environment, allowing for a healthy work-life balance. You will have the chance to contribute to cutting-edge AI projects with some of the leading LLM companies globally. The role offers professional growth through exposure to innovative research and practical applications of AI in software engineering. Additionally, Turing encourages a culture of continuous learning, with access to resources and a community of talented professionals dedicated to technological advancement.
Equal Opportunity
Turing is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that a diverse team fosters innovation and drives success, and we welcome applications from individuals of all backgrounds and experiences.
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