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.

Our team at Google DeepMind focusses on pushing the boundaries of Machine Learning and Artificial Intelligence theory & practice. We work on fundamental research which includes but is not limited to deep neural network models, reinforcement learning algorithms and biologically-inspired models with the overall goal of building powerful general-purpose learning algorithms. We work alongside scientists and engineers from other parts of the organisation.

We have created a hard-working and engaging culture, combining academic and product-led environments, to provide a supportive balance of structure and flexibility. Our approach encourages collaboration across research groups, leading to ambitious creativity and the scope for innovative research breakthroughs.

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re 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.

We are looking for Research Engineers to expand our team at Google DeepMind NYC. As a Research Engineer you will work directly on a wide range of research projects, in collaboration with Research Scientists and Software Engineers. You will apply your engineering and research skills to accelerate research progress through developing prototypes, scaling up algorithms, overcoming technical obstacles, and designing, running, and analysing experiments.

Working in an environment that champions learning and development, over time you'll start giving to longer-term and larger-scale initiatives. You'll continue to deepen and broaden your knowledge on a range of research and engineering topics.

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

• Bachelor's degree in a technical subject (e.g. machine learning, AI, computer science, mathematics, physics, statistics), or equivalent experience.
• Ability to write code fluently in at least one programming language, preferably Python or C++.
• Knowledge of mathematics, statistics and machine learning concepts needed to understand research papers and processes in the field.
• Ability to communicate technical ideas effectively, e.g. through discussions, whiteboard sessions, written documentation.

• Experience and deep understanding of multi-accelerator multi-host distributed computation for large models.
• Knowledge of ML/scientific libraries such as TensorFlow, JAX, PyTorch, NumPy and Pandas.
• Machine learning and research experience in industry, academia and personal projects, whether in computer science or other fields such as physics, computational biology, or mathematics.
• Experience with large scale system design.

Applications close on Monday 16th October at 6pm. (UK Time) 

The US base salary range for this full-time position is between $133,000 - $203,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.