Startups

Staff Research Engineer, Expressive Motion and Believability, DeepMind

Google · United States · On-site

← All jobs
About Google

Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.

About the role

As a Research Engineer on the Companion Robots team, you will train expressive, emotionally legible motion—including gait, gaze, posture, and gesture that change visibly with the robot's internal state—and develop the metrics to evaluate its effectiveness. You will work directly with animators and character designers, utilizing their expertise as a tuning pass and training signal, while building the evaluation harness required to compare behaviors, models, and robot platforms. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Bachelor’s degree or equivalent practical experience
  • 8 years of experience in software development
  • 5 years of experience testing, and launching software products
  • 3 years of experience with software design and architecture
  • 2 years of experience in reinforcement learning, imitation learning, multimodal generative modeling, training and inference, and large vision, vision-language, video, and other multimodal models
  • 1 year of experience building generative architectures or world models applied to video, robotics, or interactive simulation environments
More about this role
  • Work with omni/omni-live to extract animation, fine tune models to generate real time behavior and expression in response to stimulus and internal motivation of the character.
  • Design, train and evaluate reinforcement learning and imitation learning algorithms for lifelike movement, gaze and posture, conditioned on the robot's affective and motivational state.
  • Work with animators to convert a library of hand-authored reference motion into style-conditioned policies, using adversarial motion priors and related techniques, so that character can be authored rather than hand-tuned.
  • Create scenario suites, batch simulation, video capture, and automated critics that assess behavior reads correct to an observer.
  • Run paired human comparisons with designers and human-factors partners, and report how well automated critics correlate with human judgment.
  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products.
  • 3 years of experience with software design and architecture.
  • 2 years of experience in reinforcement learning, imitation learning, multimodal generative...

Read the full posting on Google's site ↗

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.