Machine Learning Researcher
Secondmind
full-time
Posted on:
Location Type: Hybrid
Location: Cambridge • United Kingdom
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Tech Stack
About the role
- Develop your own research program, with a view to developing new tools and techniques for probabilistic models, Bayesian optimization and related fields.
- Engage in team collaborations to meet research goals and report your research findings both internally and externally.
- Contribute to internal product development and customer research projects, assisting in the application of cutting-edge machine learning research to real world problems.
- The opportunity to take an active role in the development of our open source libraries (for example, Trieste , GPflow and GPflux ).
Requirements
- A PhD in a technical field or an equivalent level of experience, having published work in machine learning, statistics, or optimization conferences and/or journals.
- A background in decision making (Bayesian optimization, bandits, reinforcement learning, active learning) and / or probabilistic modelling and methods (Gaussian processes, Bayesian neural networks, Variational inference, etc).
- Experience in numerical programming (Python/NumPy/Tensorflow/PyTorch).
- Experience or interest in applying machine learning to solve real world problems in projects which could relate to Secondmind’s customers.
- Keen to work as part of a team, to review documents and code, and to provide constructive feedback.
- A passion to continuously develop your own machine learning and research skills, and to help others to improve theirs.
Benefits
- Competitive salary - reviewed annually
- 25 days annual leave, plus statutory bank holidays
- TGIF: The last Friday of every month is a half day for our employees
- Enhanced family leave policies
- Salary Sacrifice Pension Scheme
- Life Assurance of 4x salary
- Private Medical Insurance
- Eyecare Policy
- Dental Cash Plan
- Stock Options (where applicable)
- Free 24 hour access on-site gym
- Discount Shopping & Wellbeing Platform
- Employee Assistance Programme
- Values Award Scheme
- Cambridge Botanic Garden membership
- Social events, game nights and sports groups
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Bayesian optimizationprobabilistic modelingGaussian processesBayesian neural networksVariational inferencenumerical programmingPythonNumPyTensorFlowPyTorch
Soft skills
team collaborationconstructive feedbackcontinuous learningcommunication
Certifications
PhD in a technical field