• Design, train/post-train/fine-tune, and evaluate foundational algorithmic solutions with applications in a variety of domains in the VFX, animation, and games space, pushing forward the state of the art in CV as needed
• Develop reusable foundational components and best practices, such as dataset curation, large-scale training, and post-training processes, which can be used by other scientists and engineers across teams
• Work cross-functionally with engineers, scientists, artists, and product leaders to help identify and prioritize strategic research investment opportunities and problem requirements

Expand technical depth and domain expertise into new/adjacent areas as the business needs and the state of technology evolve

We are looking for a Research Scientist with demonstrated experience in computer vision (CV) and/or related areas such as natural language processing (NLP) or computer graphics (CG) to research and develop core algorithms and models that will be incorporated into the tools used by content creators throughout the production lifecycle, including live action, animation, and games

• Research experience with a successful track record of delivering quality results and/or academic publications in top ML, CV, CG, or NLP venues
• Deep familiarity with modern generative model architectures, including diffusion models (e.g., MMDiT) and/or autoregressive models (e.g., GPT-style)
• Expertise in designing and training deep learning (DL) architectures for media understanding and generation, with a broad understanding of DL methods and literature
• Deep mathematical skills with knowledge of statistical methods and optimization
• Extensive experience with DL frameworks such as Tensorflow or PyTorch
• Strong programming skills in languages such as Python, Java, or C++
• Great interpersonal skills for collaboration with technical and non-technical partners
• Advanced degree in Computer Science or related field
• Cutting-edge work on modern generative methods and their building blocks

Expertise in 3D vision and/or graphics

• Experience with the full stack of model development: data curation, annotation/captioning, distributed training, post-training techniques (e.g., fine-tuning, RL), and/or robust evaluation

Domain experience in content production, such as live action, games, or animation, and a track record of developing tools/solutions in these (or closely relevant) areas

• Our compensation structure consists solely of an annual salary; we do not have bonuses
• You choose each year how much of your compensation you want in salary versus stock options
• To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range

The range for this role is $170,000 - $720,000