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 transform industries and empower organizations worldwide. With a focus on quality, scalability, and ethical AI deployment, Turing has established itself as a pioneer in the AI space, attracting top talent and collaborating with industry leaders to push the boundaries of what is possible with artificial intelligence.
About The Role
We are seeking experienced software engineers at a tech lead level to join our dynamic team working on large language model (LLM) evaluation and training datasets. This role involves contributing to projects that build verifiable software engineering tasks based on public repository histories, utilizing synthetic approaches with human-in-the-loop methodologies. The ideal candidate will have a strong background in software development, particularly in analyzing, automating, and evaluating codebases to support AI research initiatives. Your expertise will directly impact the development of datasets that help train LLMs to handle realistic software engineering problems, expanding coverage across various programming languages and difficulty levels.
Qualifications
- Minimum of 3+ years of professional experience in software engineering.
- Proficiency in JavaScript and TypeScript, with a solid understanding of their ecosystems.
- Hands-on experience with version control systems, particularly Git.
- Strong knowledge of containerization tools such as Docker.
- Experience setting up and automating development environments.
- Ability to navigate and understand complex codebases.
- Comfortable running, modifying, and testing real-world projects locally.
- Experience contributing to open-source projects or evaluating open-source codebases is a plus.
Responsibilities
- Analyze and triage issues across trending open-source repositories on GitHub.
- Set up and configure code repositories, including Dockerization and environment setup.
- Assess unit test coverage and code quality to ensure robustness.
- Modify and run codebases locally to evaluate the performance of LLMs in bug-fixing and other software engineering tasks.
- Collaborate closely with research teams to identify repositories and issues that challenge LLM capabilities.
- Lead or mentor junior engineers, fostering a collaborative and innovative work environment.
- Participate in the design and development of automation tools to streamline project workflows.
Benefits
Joining Turing offers the opportunity to work remotely in a flexible environment, enabling a healthy work-life balance. You will be at the forefront of AI research, contributing to projects that have a significant impact on the future of software development and AI-assisted coding. Turing provides a collaborative and inclusive culture that encourages innovation and continuous learning. Additionally, you will have access to competitive compensation packages and the chance to work alongside some of the brightest minds in AI and software engineering.
Equal Opportunity
Turing is committed to creating a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other protected characteristic. We believe in fostering an environment where all employees can thrive and contribute their best to our shared mission of advancing artificial intelligence responsibly.
IN
