Research Engineer, GenMedia

Google • New York, NY • 2h ago

Snapshot

Join the GenMedia team where we research and develop cutting-edge machine learning models for billions of Google users. We are working on the intersection of video understanding and generation and contribute to Veo (https://deepmind.google/technologies/veo/) and Gemini (https://deepmind.google/models/gemini/) . You will get a chance to work on highly impactful research projects which are used by billions of users.

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 (video and audio-visual)

Multimodal Understanding

Multimodal evaluations

Efficient inference

Model Optimization

Reinforcement Learning

About you

We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves proto@types 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, statistics, computer vision and diffusion model theories.

Hands-on experience with training diffusion models is a strong plus

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 video understanding models and Multimodal LMs

Experience in controlled media generation

Cross functional collaboration experience

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.

Application deadline: Mar 5, 2026

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 (https://careers.google.com/privacy-policy/) .

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 opportunities 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.

Google

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