Website:
fetchjobs.co
Job details:
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 revolutionize the software development landscape. The company fosters a collaborative and dynamic environment where talented professionals can thrive and contribute to impactful projects that shape the future of technology. With a global presence and a commitment to excellence, Turing continuously pushes the boundaries of what is possible with AI, aiming to deliver transformative solutions to clients worldwide.
About The Role
We are seeking experienced software engineers at the tech lead level to join our groundbreaking project aimed at building Large Language Model (LLM) evaluation and training datasets. This role involves working closely with our research and development teams to contribute to the creation of verifiable software engineering tasks based on public repository histories. The ideal candidate will have a strong background in software development, particularly in analyzing and working with high-quality open-source repositories. Your expertise will help expand our dataset coverage across various programming languages and difficulty levels, ultimately enabling more accurate and realistic training of LLMs for software engineering tasks.
Qualifications
The ideal candidate will possess a minimum of three years of professional experience in software engineering, with a strong emphasis on JavaScript and TypeScript. Proficiency in version control systems such as Git, containerization tools like Docker, and familiarity with setting up and automating software pipelines are essential. Candidates should demonstrate the ability to understand complex codebases, modify and run projects locally, and evaluate code quality and test coverage effectively. Experience contributing to or evaluating open-source projects is advantageous. Additional skills in automation, testing, and familiarity with AI or LLM research are considered a plus.
Responsibilities
- Analyze and triage issues reported on GitHub across trending open-source libraries, ensuring timely resolution and categorization.
- Set up and configure development environments, including Dockerization and environment management, to facilitate testing and evaluation.
- Assess unit test coverage and quality, providing insights for improvements and ensuring robustness of codebases.
- Modify, run, and debug codebases locally to evaluate the performance of LLMs in bug-fixing and other software engineering scenarios.
- Collaborate closely with research teams to identify repositories and issues that pose challenges for LLMs, assisting in dataset creation and evaluation.
- Lead and mentor junior engineers, fostering a collaborative environment and ensuring high standards of code quality and project delivery.
Benefits
Joining Turing offers the opportunity to work remotely in a flexible environment, allowing you to balance your professional and personal life effectively. You will be part of a pioneering team working on cutting-edge AI projects with industry-leading companies, gaining valuable experience in the rapidly evolving field of AI and software engineering. Turing values professional growth and provides opportunities for skill development, mentorship, and participation in innovative research initiatives. Additionally, you will have the chance to contribute to projects that have a significant impact on the future of AI-assisted software development.
Equal Opportunity
Turing is committed to creating an inclusive and diverse work environment. We are proud to be an equal opportunity employer and do not discriminate based on race, color, religion, gender, sexual orientation, national origin, age, disability, or any other protected characteristic. We believe that diverse teams foster innovation and creativity, and we welcome applicants from all backgrounds to join our mission to advance AI technology and its applications.
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