At a Glance
- Tasks: Create cutting-edge datasets and evaluate AI-generated code primarily in Python.
- Company: Join Turing, a leading research accelerator for frontier AI labs.
- Benefits: Flexible hours, remote work, and the chance to work with top-tier AI researchers.
- Other info: Ideal for tech-savvy individuals looking for dynamic projects and career growth.
- Why this job: Make a real impact on AI advancements while working with innovative technologies.
- Qualifications: 3+ years of software engineering experience and strong Python expertise.
The predicted salary is between 60000 - 80000 £ per year.
About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents.
This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.
Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
- Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns.
- Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
- Design verification mechanisms that can automatically verify a solution to a software engineering task.
Several years of software engineering experience (3 years or more). Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software. Experience building full-stack applications and deploying scalable software using modern languages and tools. Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week. Type: Contractor (no medical/paid leave). Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview.
[Remote] Senior Software Engineer (Python) in Bury employer: Turing
Turing is an exceptional employer for Senior Software Engineers, offering a dynamic remote work environment that fosters innovation and collaboration with top-tier AI researchers. With a strong emphasis on employee growth, Turing provides opportunities to work on cutting-edge projects in AI, while promoting a culture of flexibility and excellence. The company's commitment to high-quality work and advanced technology makes it an attractive place for engineers looking to make a meaningful impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land [Remote] Senior Software Engineer (Python) in Bury
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or other platforms. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for those AI video interviews! Practice common questions and showcase your Python skills. We want to see your thought process, so think aloud!
✨Tip Number 3
Show off your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can really set you apart. Let us see what you've built!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace [Remote] Senior Software Engineer (Python) in Bury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role. Highlight your Python expertise and any relevant projects you've worked on, especially those involving AI or large-scale systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about this role and how your background makes you a great fit. Be specific about your experience with software engineering and any notable achievements.
Showcase Your Projects:If you've got a portfolio or GitHub repository, share it! We love seeing real examples of your work, especially if they demonstrate your skills in Python and other languages mentioned in the job description.
Prepare for the AI Video Interview:This is your chance to shine! Familiarise yourself with common interview questions and practice articulating your thought process. Remember, we want to see how you approach problem-solving and coding challenges.
How to prepare for a job interview at Turing
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially the frameworks and best practices for building production-grade software. Be ready to discuss your past projects and how you've tackled challenges using Python.
✨Showcase Your Full-Stack Experience
Prepare to talk about your experience with full-stack applications. Highlight specific examples where you've deployed scalable software and how you approached architecture design and API development.
✨Familiarise Yourself with AI Concepts
Since this role involves working with AI models, it’s crucial to understand the basics of AI and machine learning. Brush up on how datasets are created and evaluated, and be ready to discuss your thoughts on improving model capabilities.
✨Practice for the AI Video Interview
Don’t forget that you’ll need to complete an AI video interview. Practice answering common interview questions in front of a camera to get comfortable. Focus on clear communication and showcasing your problem-solving skills.
