7 months ago
London, United KingdomMid Level
Responsibilities
- Collaborate with quantitative researchers on advanced machine learning and scientific computing problems.
- Implement ideas from recently published research papers.
- Write custom libraries for efficient training on petabytes of data.
- Optimize machine learning operations to reduce model training times.
- Profile custom ML architectures to identify performance bottlenecks.
- Evaluate emerging hardware and software in the machine learning ecosystem.
- Develop custom models and solutions when off-the-shelf methods are insufficient.
Requirements
- Postgraduate degree in machine learning or a related discipline, or commercial experience working on machine learning models at scale.
- Exceptional candidates with a proven record in online data science competitions such as Kaggle may be considered.
- Strong object-oriented programming skills are desirable.
- Experience with Python, PyTorch, and NumPy is desirable.
- Experience in one or more of advanced optimization methods, modern machine learning techniques, HPC, profiling, or model inference.
- Excellent machine learning reasoning, communication, and collaborative working skills.
Benefits
- Highly competitive compensation and an annual discretionary bonus.
- Lunch provided through Just Eat for Business and access to a dedicated barista bar.
- 35 days of annual leave.
- 9% company pension contributions.
- Informal dress code and an excellent work/life balance.
- Comprehensive healthcare and life assurance.
- Cycle-to-work scheme.
- Monthly company events.
- Based at the company’s London headquarters.
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