Join Our Trailblazing Team as a Research Engineer at Google DeepMind

At Google DeepMind, we are pioneers in artificial intelligence, dedicated to solving intelligence and making a significant impact for the greater good. We are committed to fostering an inclusive environment that values diversity across all dimensions including sex, race, religion, and more, striving for equality in employment opportunities.

If you require accommodations due to a disability or special needs, please let us know as we are eager to facilitate your application process.

About Google DeepMind

Our interdisciplinary team is at the forefront of developing advanced learning algorithms by integrating techniques from deep learning, reinforcement learning, and systems neuroscience. With numerous breakthroughs such as AlphaFold and AlphaMissense, our ambitious projects continue to push the boundaries of what is possible in artificial general intelligence.

We pride ourselves on our collaborative, supportive environment where ambitious goals are not just set but achieved, propelled by a culture of pushing limits and shared learning.

Role Snapshot: Research Engineer, Science

As a Research Engineer embedded within our dynamic team, you will:

• Engage in rapid prototyping of machine learning applications to address various scientific challenges.
• Conduct exploratory work and analysis to shape future experiments and research directions.
• Enhance machine learning models and architectures while developing tools to streamline research processes.
• Collaborate closely with both internal and external experts across different scientific domains.
• Communicate findings and progress effectively within the research community.

This role is ideal for those who thrive in experimental, data-intensive settings and are passionate about leveraging their skills in machine learning and science to drive innovation.

What We Look For

Successful candidates will typically have:

• A Master's degree in Computer Science, Electrical Engineering, or a related field.
• Practical experience with advanced machine learning techniques (e.g., Transformers, Diffusion Models).
• Proficiency in programming languages used in ML and computing, such as Python or C++.
• A solid foundation in linear algebra, calculus, and statistics, with hands-on data exploration and visualization skills.
• Experience with ML frameworks like JAX, PyTorch, or TensorFlow.

Additional advantageous experiences include:

• Optimizing machine learning models on a large scale.
• Handling large, complex datasets.
• Working multidisciplinary across diverse scientific fields.

We value a diverse mix of skills and experiences, and while not all are expected to be expert-level, a balanced proficiency across scientific, ML, and computational domains is sought.

How to Apply

Ready to embark on this exciting journey with us at DeepMind? Please submit your application by Monday, 13th May 2024. Join us in our quest to advance science and technology for widespread societal benefit.

Google DeepMind is not only a leader in AI research but also a beacon of diversity and innovation in technology. Don't miss the opportunity to be part of our meaningful and ground-breaking projects!