Research Engineer, Gen Media

Mountain View, CA

At Google Deep Mind, 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

We research and develop cutting-edge machine learning models for billions of Google users. Our current projects include Imagen 4, Nano Banana and Veo. Located in Mountain View, we collaborate with teams around the world, especially Google PAs to iteratively improve the model performance and expand its capabilities.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google Deep Mind, 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

You’ll be applying research ideas to high-impact real world problems. This includes prototyping, dataset curation, model training, performance optimization and deployment.

Key Responsibilities

Some of our current projects are focusing on the areas below so experience in any of these is highly beneficial:

• Generative Media (image, video, and audio)

• Efficient inference

• Multimodal Understanding

• Model Optimization

• Reinforcement 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 Deep Mind, 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, statistics, and diffusion model theories.

• Hands-on experience with training diffusion models

• Proven experience of Tensorflow or similar ML frameworks (e.g. JAX or Py Torch)

• Recent experience conducting applied research

• Proven experience working in industry, working on projects from proof-of-concept through to implementation is highly beneficial.

In addition, the following would be an advantage:

• Experience in diffusion model latency reduction

• Experience in controlled media generation

• Cross functional collaboration experience

What We Offer

At Google Deep Mind, 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.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.