Staff AI Scientist specializing in machine learning fundamentals at HackerRank. Leading rigorous AI evaluation and dataset construction efforts across teams in a hybrid setting.
About the role
- Machine Learning Researcher at Longshot Systems designing and implementing predictive models for sports betting analytics. Involvement in all aspects of R&D from design to implementation.
Responsibilities
- Design, test, and implement new machine learning models in Python
- Continually improve existing state-of-the-art solutions
- Participate in all aspects of the R&D process, from high-level design to production implementation
- Generate new, innovative ways to tackle problems
- Suggest improvements to existing methodologies
- Conduct research on the best methods suited to specific problems
Requirements
- At least one of:
- Masters or PhD in a quantitative, technical subject (e.g. Machine Learning, Maths, Physics) from a top university
- Significant Kaggle experience (especially in tabular data) or similar competitive modelling projects or competitions
- Industry experience in Quantitative Research (especially for sports) or other industries with competitive modelling requirements
- Experience with:
- Python programming
- A range of Machine Learning software frameworks
- Tabular data modelling
Benefits
- Participation in the uncapped company bonus scheme, typically 20-30% of salary depending on experience
- 10% matched pension contributions
- Private healthcare insurance
- Long term illness insurance
- Gym membership
- Choose your own hardware & setup for your development environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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