AI Safety Solutions Developer
6 days ago
We are seeking an experienced Senior Python Engineer to join our team at Safe Intelligence.
About the Job:
In this role, you will help lead and implement the improvement of algorithms, optimising execution, usability, and package architecture of our ML verification solutions. You will work closely with both product and research teams to develop production-ready solutions for machine learning applications.
Responsibilities:
- Play a leadership and mentoring role in Python package and code development, including strong modelling of best practice and efficient procedures.
- Productise a set of Python packages and tools for use in machine learning applications that build on powerful algorithms developed by the research team.
- Contribute towards making verification and robust-learning algorithms scalable and more efficient, and developing a clean, well-organised code-base that supports our goal of making these methods intuitive and easy to use by the wider community.
- Work closely with the platform team to interface and containerise the packages and toolkits for scalable deployment.
- Stay updated with the latest technologies and trends in Python development and actively contribute to the team's technical knowledge base.
Qualifications:
- Extensive professional experience as a Python-based developer.
- Experience with modern Python development techniques and design patterns.
- Experience developing highly parallelised applications using the multiprocessing library, including memory management.
- Experience with widely used tools in data science and machine learning, such as NumPy, pandas, scikit-learn, and PyTorch.
- Proficiency in testing approaches and frameworks like pytest as well as automation tools like Github Actions or Travis CI for maintaining code quality and continuous integration/continuous deployment (CI/CD) pipelines.
- Advanced proficiency with code maintenance tools and best practice, including Git and configuring workflows.
Additional Requirements:
- Experience using webhooks for real-time data delivery for use in communication between toolkits and platform.
- Familiarity with CUDA and optimising highly parallelised GPU-based computations are a plus.
- Familiarity with the end-to-end supervised training of neural networks and accompanying MLOps ecosystem are a plus.
About Us:
Safe Intelligence is a pioneering company in the field of AI safety technology. We are committed to developing innovative solutions that make a real impact.
Benefits:
- A competitive salary and benefits package, including estimated salary £80,000 - £120,000 per annum.
- Flexible working arrangements, including remote work options and regular in-office interactions.
- The opportunity to work on cutting-edge AI safety technology.
- A collaborative and meritocratic team environment where great ideas come from everywhere.
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