ML Engineer

Leap Labs is a dynamic and innovative technology company on the cutting-edge of ML interpretability. Our team is dedicated to developing robust solutions that contribute to safe and beneficial AI development. We are seeking a highly motivated and experienced Senior ML Engineer with strong systems development skills to join our team.

More about us here: https://leap-labs.com/

What to expect

You will build and maintain the bridge between our research and product implementation. You will own our core python library, redesigning it from the ground up, implementing new functions as they arise, and ensuring compatibility between our algorithms and the front-end product. You will work closely with the research and product team to ensure smooth, up-to-date implementation of our interpretability methods - in return for a competitive salary, meaningful equity, and the opportunity to move the needle on AI interpretability in the real world.

We’re based in London and San Francisco, and expect this role to be primarily based in London – with some flexibility.

The Ideal Candidate

Has experience demonstrating their ability to:

• Collaborate with Researchers and Engineers: Work closely with a multidisciplinary team to define project requirements and goals. Your role will involve bridging the gap between theoretical research and practical application.
• Develop and Implement AI Systems: Utilize your expertise to design, develop, and refine AI algorithms. You will be responsible for turning our research into robust machine learning solutions.
• Deploy in Production Environments: Ensure that the AI solutions are scalable, maintainable, and efficiently integrated into production environments. Your role includes not just development but also the deployment and maintenance of these systems.
• Problem-Solve and Analyze: Apply your analytical skills to troubleshoot and resolve complex problems. You will be expected to provide solutions that are not only effective but also efficient and scalable.
• Stay Updated and Innovate: Keep abreast of the latest developments in machine learning and AI. You will be encouraged to innovate and contribute ideas that can improve and advance our projects.
• Design Efficient Systems: Implement and maintain best practices for scalable software development, code documentation, and version control.
• Thrive in a Dynamic Environment: Navigate complex and fast-changing problems in a fast-paced, collaborative environment.

Shares our values:

• Learning Mindset: A thirst for knowledge and a commitment to continuous learning. Eagerness to expand skill set, staying abreast of emerging technologies and industry best practices. There are no dumb questions.
• Resilience: The ability to adapt and thrive in a fast-paced and ever-changing environment in the face of challenges, setbacks, and tight deadlines, consistently finding solutions and persevering to achieve goals.
• Drive: Self-motivated with a strong desire to excel and exceed expectations, evident in the ability to take ownership of projects, and remain dedicated to delivering impactful solutions.
• Teamwork: The ability to work well with cross-functional teams and understand the importance of sharing knowledge, ideas, and responsibilities. A culture of collaboration, respect, and support.
• Customer-obsessed: Focus on delivering products that meet customer needs and expectations. Prioritising the user experience, actively seeking feedback and incorporating it into product development.
• Passion: A deep and genuine emotional connection to ones pursuits. Enthusiasm, dedication, and excitement to solve important problems and make an impact.

How to Apply

If you are a self-motivated ML Engineer with systems development experience and are excited about joining a dynamic team, please submit your resume, portfolio/github (if applicable), and a cover letter outlining your relevant experience and achievements to hello at leap-labs.com. We look forward to reviewing your application.

If you do not meet all of the qualifications for the ideal candidate do not hesitate to apply! Embodying our values can make up for experience gaps.