Forward Deployed Engineer responsible for translating customer needs into research and engineering solutions, building prototypes, and deploying Odyssey’s world models in real-world environments.
Responsibilities
Embed closely with strategic customers to understand workflows and constraints
Identify opportunities for world models across robotics, simulation, autonomy, training, interactive media, and other domains
Translate customer goals into research and engineering problems, prototypes, and deployment plans
Adapt and extend Odyssey’s models through fine‑tuning, post‑training, conditioning, controllability, inference optimization, and learned control policies
Build end‑to‑end prototypes connecting models to customer data, tools, simulators, hardware, and production systems
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.
Research Scientist Intern, Generative AI & Computational Photography (PhD)
A Research Scientist Intern will help advance the state of the art through ambitious research projects in generative AI and computational photography, focusing on 3D/4D reconstruction and world models.
Responsibilities
Research, develop and prototype advanced technologies in the domain of 3D/4D reconstruction/rendering, image and video diffusion, and world models, Gaussian splatting, neural fields or diffusion transformers.
Deliver research results that are both publishable and have a direct impact on Reality Labs or Meta’s Family of Apps.
Analyze the efficiency, accuracy, scalability, and stability of currently deployed technologies to identify opportunities for impact through novel research.
Collaborate with team members throughout the lifetime of a project, from research to prototyping to deploying products.
Requirements
PhD degree in computer science, electrical engineering, or related fields
Nice to have: co-authored publications at top-tier conferences
Lead the architecture, design, and deployment of next-generation AI-powered solutions for autonomous mining operations and digital platform ecosystems.
Responsibilities
Define enterprise AI architecture strategy and technical roadmap
Develop architecture standards, reference designs, and reusable frameworks
Translate mining business challenges into scalable AI-enabled solutions
Lead solution design reviews and technical governance activities
Evaluate emerging AI technologies and identify strategic adoption opportunities