Principal Machine Learning Engineer driving technical direction for core Snap products. Set vision and develop ML technology for millions of Snapchatters.
About the role
- Senior Machine Learning Scientist improving customer and business outcomes using ML and statistical modeling. Working with experienced team and involved in end-to-end model development.
Responsibilities
- improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling
- working alongside a team of very experienced ML Scientists
- owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring
- exposure to all Borrowing products and applications
- work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap
- think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models
Requirements
- Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering
- In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc
- Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap
- Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry
- Great attention to details while keeping an eye on the big picture
- Excellent communication skills to articulate complex problems
- Capability to build mutual respect and trust with people of different background
Benefits
- stock options
- Learning budget of £1,000 a year for books, training courses and conferences
- We can help you relocate to the UK
- We can sponsor visas
- flexible working hours
- work from home setup including Macbooks
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