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- Tasks: Join us to analyse GitHub issues and evaluate LLM performance in real-world coding scenarios.
- Company: Turing is a fast-growing AI company shaping the future of software development with innovative projects.
- Benefits: Enjoy a fully remote work environment and collaborate on cutting-edge AI projects.
- Why this job: Blend practical software engineering with AI research and influence the future of technology.
- Qualifications: Strong experience in programming languages like Python or JavaScript and familiarity with popular GitHub repositories.
- Other info: Contract role requiring 20 hours per week, with a one-month duration starting next week.
The predicted salary is between 36000 - 60000 £ per year.
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.
About the Role: We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality.
Why Join Us? Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.
What does day-to-day look like:
- Analyse and triage GitHub issues across trending open-source libraries.
- Set up and configure code repositories, including Dockerization and environment setup.
- Evaluating unit test coverage and quality.
- Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
- Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
- Opportunities to lead a team of junior engineers to collaborate on projects.
Required Skills:
- Strong experience with at least one of the following languages: Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby.
- Experience working with well-maintained, widely-used repositories with 500+ stars.
- Proficiency with Git, Docker, and basic software pipeline setup.
- Ability to understand and navigate complex codebases.
- Comfortable running, modifying, and testing real-world projects locally.
- Experience contributing to or evaluating open-source projects is a plus.
Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required.
Nice to Have:
- Previous participation in LLM research or evaluation projects.
- Experience building or testing developer tools or automation agents.
Perks of Freelancing With Turing:
- Work in a fully remote environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.
Offer details:
- Commitment required: 20 hours per week with some overlap with PST.
- Employment type: Contractor assignment (no medical/paid leave).
- Duration of contract: 1 month with expected start date as next week.
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Senior Software Engineer - 34123
✨Tip Number 1
Familiarise yourself with popular GitHub repositories that have over 500 stars. Spend time exploring their codebases, understanding their structure, and identifying common issues. This will not only enhance your technical knowledge but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with the open-source community by contributing to projects similar to those mentioned in the job description. This could involve fixing bugs, improving documentation, or adding features. Such contributions can showcase your skills and commitment to potential employers.
✨Tip Number 3
Brush up on your skills with Docker and Git, as these are essential tools for the role. Consider creating a small project where you can implement Docker for environment setup and use Git for version control. This hands-on experience will be invaluable during interviews.
✨Tip Number 4
Prepare to discuss your previous experiences with LLMs or AI-related projects, even if they are not directly related to software engineering. Highlight any relevant research or practical applications you've worked on, as this will set you apart from other candidates.
We think you need these skills to ace Remote Senior Software Engineer - 34123
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with high-quality public GitHub repositories, especially those with 500+ stars. Emphasise your proficiency in relevant programming languages and tools like Git and Docker.
Craft a Strong Cover Letter: In your cover letter, explain why you're interested in the role and how your background aligns with the responsibilities outlined in the job description. Mention any relevant experience with LLMs or open-source projects.
Showcase Relevant Projects: Include links to specific projects or contributions you've made to well-maintained repositories. This will demonstrate your hands-on experience and ability to navigate complex codebases.
Highlight Leadership Experience: If you have experience leading teams or mentoring junior engineers, be sure to mention this. It shows that you can take on a tech lead role and collaborate effectively with others.
How to prepare for a job interview at Turing
✨Showcase Your GitHub Experience
Make sure to highlight your experience with well-maintained repositories, especially those with 500+ stars. Be prepared to discuss specific projects you've contributed to and how you navigated complex codebases.
✨Demonstrate Your Technical Skills
Brush up on the programming languages mentioned in the job description, such as Python or JavaScript. Be ready to solve coding problems or discuss your approach to software development during the interview.
✨Familiarise Yourself with LLMs
Since the role involves evaluating LLM performance, it’s beneficial to understand how LLMs interact with code. Research recent advancements in AI and be prepared to discuss how they relate to software engineering.
✨Prepare for Team Leadership Questions
As this role may involve leading junior engineers, think about your leadership style and experiences. Be ready to share examples of how you've successfully guided a team or collaborated on projects.
