Website:
fetchjobs.co
Job details:
About The Company
Turing is a leading technology company at the forefront of artificial intelligence and software engineering innovation. Renowned for its commitment to developing cutting-edge AI solutions, Turing specializes in creating advanced models and datasets that push the boundaries of machine learning capabilities. The company fosters a dynamic and inclusive work environment, encouraging collaboration among talented professionals worldwide. With a focus on impactful projects that shape the future of AI, Turing aims to empower organizations with intelligent systems that enhance productivity and innovation across diverse industries.
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 pivotal in advancing our efforts to build verifiable software engineering tasks based on public repository histories, utilizing synthetic approaches with human-in-the-loop processes. 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 contribute to automating development environments, triaging issues, and assessing test coverage and code quality. This position offers a unique opportunity to influence the future of AI-assisted software development by working on real-world codebases and collaborating with researchers to identify challenging tasks for LLMs.
Qualifications
- Minimum of 3+ years of professional experience in software engineering.
- Proficiency in JavaScript and TypeScript, with a solid understanding of modern development practices.
- Experience with Git for version control, Docker for environment management, and basic software pipeline setup.
- Ability to comprehend and navigate complex codebases across various programming languages and frameworks.
- Hands-on experience running, modifying, and testing real-world projects locally.
- Familiarity with contributing to or evaluating open-source projects is considered an advantage.
- Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
Responsibilities
- Analyze and triage issues across trending open-source libraries hosted on GitHub, identifying areas for improvement and testing.
- Set up and configure development environments, including Dockerization and environment automation, to streamline testing and evaluation processes.
- Assess and improve unit test coverage and overall code quality to ensure robustness and reliability.
- Modify, run, and debug codebases locally to evaluate the performance of LLMs in bug-fixing and code understanding scenarios.
- Collaborate closely with research teams to design and select repositories and issues that present meaningful challenges for LLMs, contributing to dataset expansion and diversity.
- Potentially lead a team of junior engineers, providing mentorship and guiding project execution.
Benefits
Joining Turing offers the opportunity to work remotely from anywhere in the world, providing flexibility and work-life balance. You will be part of a pioneering team working on cutting-edge AI projects with some of the most innovative LLM companies globally. Turing supports continuous learning and professional growth, offering exposure to advanced AI research and development. Additionally, you will have access to a collaborative and inclusive work environment that values diversity and innovation. Competitive compensation and the chance to make a significant impact in the AI industry are also key benefits of this role.
Equal Opportunity
Turing is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace where everyone feels valued, respected, and empowered to contribute their best. We do not discriminate based on race, gender, age, ethnicity, religion, sexual orientation, disability, or any other protected characteristic. Our hiring practices are designed to ensure fairness and equal opportunity for all qualified candidates.
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