Research Engineer, Language

DeepMind; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading artificial intelligence firm is seeking a Research Engineer to innovate in large-scale multimodal models and data processing. The ideal candidate will have exceptional engineering skills with machine learning libraries such as TensorFlow and PyTorch, and will develop methods for enhancing generative models. A strong knowledge of statistics and prior experience in academic or industry settings is required. This position is full-time, based in Greater London, with opportunities for impactful work in AI research.

Qualifications

• Proven experience of building codebases that support machine learning at scale.
• Familiarity with ML/scientific libraries and distributed computation.
• Knowledge of machine learning and statistics.

Responsibilities

• Develop, maintain and improve large scale multimodal models.
• Collaborate to implement methods for evaluating generative models.
• Develop and maintain pipelines to collect human data.

Skills

Robotics

Machine Learning

Python

AI

C / C++

Research Experience

Matlab

Rust

Natural Language Processing

Tensorflow

Education

MSc or PhD / DPhil degree in computer science, physics, mathematics, applied stats, or machine learning

Tools

JAX

TensorFlow

PyTorch

Numpy

Pandas

Job description

At Google DeepMind we value diversity of experience knowledge backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation gender identity pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation please do not hesitate to let us know.

Snapshot

Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.

The Role

Were looking for a Research Engineer with exceptional engineering skills and understanding of large-scale neural network training and data processing as well as a strong working knowledge of machine learning experimentation.

Key Responsibilities

• Develop maintain and improve large scale multimodal models and data pipelines (used for training and evaluation of models).
• Collaborate with team members to develop and implement new methods for evaluating and improving multi-modal generative models particularly at the post-training stage.
• Develop and maintain pipelines to collect human data.

About You

In order to set you up for success as a Research Engineer at Google DeepMind we look for the following skills and experience :

• Proven experience of building codebases that support machine learning at scale. You are familiar with ML / scientific libraries (e.g. JAX TensorFlow PyTorch Numpy Pandas) distributed computation and large scale system design.
• Knowledge of machine learning and statistics.

In addition the following would be an advantage :

• MSc or PhD / DPhil degree in computer science physics mathematics applied stats machine learning or similar experience working in industry.
• Experience with LLMs VLMs and / or diffusion models training and inference.
• Experience working in industry on team projects from early (proof-of-concept) to late stages (implementation and evaluation).

Key Skills

Robotics,Machine Learning,Python,AI,C / C++,OS Kernels,Research Experience,Matlab,Rust,Research & Development,Natural Language Processing,Tensorflow

Employment Type : Full Time

Experience : years

Vacancy : 1