Graduate ML Engineer — Flexible Work & Phantom Equity

Graphcore; West of England; Hybrid; GBP 26,000 - 32,000; Full time

Benefits offered by this job

Flexible working

Retirement planning support

Phantom equity

Workplace experience

Peace of mind protection

Electric Vehicle Scheme

Flexible benefits

Optional benefits

Job summary

Graphcore in Bristol invites you to join our two-year Applied AI Graduate Programme, where you’ll gain hands-on learning from day one, take ownership and shape what we’re creating as you tackle challenging AI problems alongside a supportive team.

During the programme you’ll work on turning research into scalable AI systems, benchmark models and collaborate with Research, Software and Product teams to drive innovations across hardware and software.

Qualifications

• Bachelor/Master's degree in ML/CS/Math/Data Science or related field.
• Proficiency with a deep learning framework such as PyTorch or JAX.
• Understanding of DL architectures, optimisation, evaluation and scaling.
• Collaborative approach; ability to work through unfamiliar problems and take initiative.

Responsibilities

• Turn models into AI systems that run at scale.
• Implement, train and optimise advanced models on Graphcore hardware.
• Benchmark models and design experiments to find performance bottlenecks.
• Test ideas with Research, Software and Product teams and contribute fixes.

Skills

Degree in ML/CS

DL frameworks (PyTorch/JAX)

DL architectures & experiments

Collaborative problem solving

Education

Bachelor/Master's in ML/CS/Math/Data Science

Job description

Graphcore in Bristol invites you to join our two-year Applied AI Graduate Programme, where you’ll gain hands-on learning from day one, take ownership and shape what we’re creating as you tackle challenging AI problems alongside a supportive team.

During the programme you’ll work on turning research into scalable AI systems, benchmark models and collaborate with Research, Software and Product teams to drive innovations across hardware and software.