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
Our team is working on media quality understanding and creation. We research and develop cutting-edge machine learning models for billions of Google users and publish papers at top conferences or journals. Located in Mountain View, we collaborate with teams around the world, especially Google PAs to enable a delightful user journey across Google’s products.
About Us
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.
The Role
Key Responsibilities:
You’ll be applying research ideas to high-impact real world problems. This includes prototyping, dataset curation, model training, performance optimization and deployment.
Some of our current projects are focusing on the areas below so experience in any of these is highly beneficial:
- Generative Media (image, video)
- Media Creation
- Multimodal Understanding
- Reinforcement Learning
- Preference Learning
About You
We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project is a must.
In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
- BSc, MSc or PhD degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry.
- Knowledge of machine learning, computer vision, and diffusion model theories.
- Hands-on experience with training machine learning models for media creation.
- Proven experience of Tensorflow or similar ML frameworks (e.g. JAX or PyTorch).
- Recent experience conducting applied research.
- Proven experience working in industry, working on projects from proof-of-concept through to implementation highly beneficial.
In addition, the following would be an advantage:
- Experience in RLHF
- Experience in controlled media generation
- Cross functional collaboration experience
What we offer
At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.
We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).
The US base salary range for this full-time position is between $161,000 - 300,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Top Skills
What We Do
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.
Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).
Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.
We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
