Software Engineer

About The Company Founded with the vision of advancing artificial intelligence and fostering innovation in software development, Turing is recognized as one of the world's fastest-growing AI companies. Our mission is to accelerate the deployment of powerful AI systems that transform industries and empower developers worldwide. With a focus on cutting-edge research and practical applications, Turing provides a dynamic environment where talented professionals can contribute to groundbreaking projects. We pride ourselves on fostering a collaborative culture that values innovation, technical excellence, and continuous learning. Our global team works remotely, enabling us to attract top talent from diverse backgrounds and locations, all committed to shaping the future of AI-driven software engineering.

About The Role We are seeking experienced software engineers at the tech lead level to join our innovative project focused on building Large Language Model (LLM) evaluation and training datasets for realistic software engineering tasks. This role involves direct hands-on involvement in developing, automating, and maintaining complex software environments, as well as evaluating the quality and coverage of test cases in open-source repositories. The ideal candidate will possess a deep understanding of high-quality public GitHub repositories, with the ability to analyze, triage, and modify codebases effectively. You will work closely with researchers to identify challenging repositories and issues that can improve LLM performance in real-world coding scenarios. This position offers a unique opportunity to blend practical software engineering with AI research, contributing to the future of intelligent software development tools.

Qualifications

• Minimum of 3+ years of professional experience in software engineering.
• Strong proficiency in at least one programming language such as Ruby.
• Hands-on experience with Git version control, Docker containerization, and setting up software pipelines.
• Ability to understand, navigate, and modify complex codebases efficiently.
• Experience in running, testing, and debugging real-world projects locally.
• Familiarity with open-source contributions, issue triaging, and project evaluation is advantageous.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to collaborate effectively with cross-functional teams.

Responsibilities

• Analyze and triage issues reported in trending open-source repositories on GitHub, identifying areas for improvement and testing.
• Set up and configure development environments, including Dockerization and environment management, to facilitate testing and evaluation.
• Assess unit test coverage and quality, providing insights to enhance repository robustness.
• Modify and run codebases locally to evaluate the performance of LLMs in bug-fixing and code comprehension tasks.
• Collaborate with AI researchers to design and identify repositories and issues that pose challenges for LLMs, contributing to dataset expansion and validation.
• Lead and mentor junior engineers, fostering a collaborative team environment and ensuring project milestones are met.
• Contribute to documentation, reporting, and continuous improvement of evaluation methodologies.

Benefits Joining Turing offers the opportunity to work remotely in a flexible, fully remote environment that promotes work-life balance. You will be engaged in cutting-edge AI projects, collaborating with leading LLM companies and researchers worldwide. Our platform provides access to a global network of talented professionals, fostering continuous learning and growth. As part of our team, you will have the chance to influence the future of AI-assisted software development, gaining valuable experience at the intersection of software engineering and artificial intelligence. Additionally, Turing offers competitive compensation for freelance contractors, with flexible working hours to accommodate your schedule.

Equal Opportunity

Turing is committed to creating a diverse and inclusive work environment. We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic. We believe that diverse perspectives and experiences drive innovation and excellence. All qualified applicants are encouraged to apply, and we are dedicated to providing a supportive environment where everyone can thrive and contribute to our mission of advancing AI technology.