Applied Machine Learning Researcher

About Seldon

Seldon is a London based scale-up that builds open source and enterprise machine learning frameworks that power massive scale deployments of production AI systems. Our open source frameworks benefit from over 2,000,000 installations, and power our enterprise product Seldon Deploy, which is currently being used by some of the leading global organisations across industries such as automotive, pharma, finance, etc.

Position

Seldon is looking for an Applied Machine Learning Researcher to join their team. We are focused on making it easy for machine learning models to be deployed and managed at scale in production. We provide Cloud Native products that run on top of Kubernetes and are open-core with several successful open source projects including Seldon Core, Alibi:Explain and Alibi:Detect. Within our Data Science team we work on distilling and conducting research to enable trust in production machine learning systems.

About the role

• Conduct applied research in the areas of model explainability, outlier and drift detection, model monitoring and more
• Design, write and test open-source components for Alibi:Explain and Alibi:Detect
• Contribute to conferences and talks in the broad area of machine learning monitoring

Your qualification

• A solid foundation in machine learning, including probability and statistics
• A degree or higher level academic background in a scientific or engineering subject 
• At least 2 years of experience in industry or academia showing completed projects
• Python programming experience 
• TensorFlow or PyTorch experience
• A critical approach to reviewing existing academic literature and research software
• Ability to formulate experiment designs and comprehensively test hypotheses
• A desire to write good quality, maintainable research software

Will be a plus

• Published research papers in machine learning 
• Contributions to open source software (e.g. implementing research papers)

What we offer

• London, Cambridge or Remote working available
• Share options to align you with the long-term success of the company
• Exciting phase of fast-paced start-up challenges with an ambitious team and unlimited potential for professional growth 
• Access to discounted lunches, gyms, shopping and cinema tickets
• Healthcare benefits
• Tier 2 visa support
• Cycle To Work Scheme