G-Research
Machine Learning Engineer Internship
Eligibility
- Currently enrolled student in machine learning or related disciplines
A 12-week summer internship in London for current students in machine learning or related disciplines to work on engineering solutions that support quantitative research, including implementing ML models and optimizing computation.
Responsibilities
- Implement ideas from published ML research papers
- Write custom libraries for efficient model training on large datasets
- Optimize ML training tasks and profile architectures
- Evaluate new hardware and software in ML ecosystem
- Work independently and collaboratively on engineering problems
Requirements
- Current undergraduate, master's or PhD student in machine learning or related field
- Strong object-oriented programming skills
- Experience with Python, PyTorch, and NumPy desirable
- Knowledge of advanced optimisation methods, ML techniques, HPC, profiling, model inference beneficial
- Strong ML reasoning skills
- Good communication and teamwork skills
Skills
- Python
- PyTorch
- NumPy
- Machine Learning
- Optimization
- Scientific computing
- Last checked