At a Glance
- Tasks: Build smart AI systems and components to tackle real-world challenges.
- Company: Join CommonAI C.I.C., a pioneering community interest company in AI technology.
- Benefits: Enjoy a supportive environment, competitive salary, and professional development opportunities.
- Other info: Contribute to open source projects and thrive in a rapidly evolving startup culture.
- Why this job: Be part of an innovative team shaping the future of AI through open source collaboration.
- Qualifications: Strong programming skills in Python, Rust, C++, or Go; Bachelor's degree in a technical field required.
The predicted salary is between 36000 - 60000 £ per year.
CommonAI C.I.C. is a pioneering community interest company created to support our members as they embrace the opportunities being created by rapid advances in AI technology. Our belief is that collaborative open source development is a critical foundation for companies creating impactful technologies and competing at a global level.
As a Software Engineer (AI/ML) you will help build smart systems, and their components, that leverage the latest open source artificial intelligence and machine learning technologies to solve real world challenges. Open development is at the heart of what we do and we encourage our engineers to play an active role in open source communities.
Requirements
- Excellent programming abilities with experience in relevant languages (Python, Rust, C++ and/or Go)
- Experience with relevant libraries/tools (PyTorch, Tensorflow, Neo4j) and/or AI accelerators (GPU, TPU) is a plus
- Deep understanding of open source development processes (RFCs/proposals, GitHub pull requests) with demonstrable contributions to open source projects and/or communities
- Exceptional written and verbal communication skills, with the ability to present complex technical concepts clearly to diverse audiences
- Some familiarity with containerization technologies (Docker, Podman, Kubernetes) and cloud (AWS, GCP) application deployment including monitoring (Grafana)
- Desire to work in a rapidly evolving startup environment where you will have a high impact
- Strong academic background with at least a Bachelor's degree in a technical field. Postgraduate degrees are preferred and research experience is valued
Benefits
- A collaborative and supportive work environment
- The opportunity to join and help build a new organisation as one of the first employees
- Competitive salary package and pension
- Professional development opportunities
CommonAI C.I.C. is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.
Software Engineer (AI/ML) in Cambridge employer: CommonAI C.I.C.
CommonAI CIC is an exceptional employer that fosters a collaborative and supportive work environment, perfect for those passionate about AI technology. As a Performance Engineer, you will have the opportunity to make a significant impact within a rapidly growing non-profit organisation, while enjoying competitive salary packages, professional development opportunities, and networking with influential figures in the tech sector and academia. Located just minutes from Cambridge train station, our vibrant office offers a unique advantage for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (AI/ML) in Cambridge
✨Tip Number 1
Engage with open source communities related to AI and ML. Contributing to projects on platforms like GitHub not only showcases your skills but also demonstrates your commitment to collaborative development, which is highly valued by CommonAI.
✨Tip Number 2
Familiarise yourself with the latest AI/ML tools and libraries mentioned in the job description, such as PyTorch and TensorFlow. Consider building a small project or contributing to an existing one that utilises these technologies to highlight your practical experience.
✨Tip Number 3
Prepare to discuss your understanding of open source development processes during interviews. Be ready to share specific examples of your contributions, such as pull requests or proposals, to demonstrate your active involvement in the community.
✨Tip Number 4
Showcase your communication skills by explaining complex technical concepts in simple terms. Practice presenting your past projects or experiences to friends or family, ensuring you can convey your ideas clearly to diverse audiences, which is crucial for this role.
We think you need these skills to ace Software Engineer (AI/ML) in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your programming skills, particularly in Python, Rust, C++, and Go. Include any relevant experience with AI/ML libraries like PyTorch and TensorFlow, as well as contributions to open source projects.
Craft a Compelling Cover Letter:In your cover letter, express your passion for AI and open source development. Mention specific projects or experiences that demonstrate your ability to communicate complex technical concepts clearly.
Showcase Your Open Source Contributions:If you have contributed to open source projects, provide links to your GitHub profile or specific repositories. Highlight your understanding of the open source development process and any significant contributions you've made.
Prepare for Technical Questions:Be ready to discuss your technical skills and experiences in detail during the interview process. Brush up on your knowledge of containerization technologies and cloud deployment, as these are relevant to the role.
How to prepare for a job interview at CommonAI C.I.C.
✨Showcase Your Open Source Contributions
Since CommonAI values open source development, be prepared to discuss your contributions to relevant projects. Highlight specific examples where you've made an impact, whether through code, documentation, or community engagement.
✨Demonstrate Technical Proficiency
Brush up on your programming skills in Python, Rust, C++, and Go. Be ready to solve coding challenges during the interview and explain your thought process clearly, especially when discussing AI/ML libraries like PyTorch and TensorFlow.
✨Communicate Complex Ideas Simply
Exceptional communication skills are a must. Practice explaining complex technical concepts in simple terms, as you may need to present these ideas to non-technical stakeholders. Tailor your explanations to suit different audiences.
✨Familiarise Yourself with Containerization and Cloud Technologies
Understanding containerization tools like Docker and Kubernetes, as well as cloud platforms such as AWS and GCP, is beneficial. Be ready to discuss how you've used these technologies in past projects and their importance in modern software development.
