Staff Machine Learning Engineer, Animation - Singapore Efficiency Team
On-siteCentral, Louisiana, United States
Job Summary
Build assistive animation tooling using motion synthesis, motion matching, and physics-based character control to remove mechanical steps from the animator's workflow. Partner with animators and tech artists to target costly keyframing, cleanup, and retargeting tasks, defining evaluations for motion quality and quantifying time returned. Follow developments in motion generation and judge approaches on production rigs and runtime budgets. This Staff Machine Learning Engineer role supports the Singapore Efficiency team's goal of accelerating technical scaffolding around animation, allowing creative staff to focus on performance and expression.
Required Qualifications
- Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Data Science, or Artificial Intelligence
- Animation specialization: Deep, proven expertise in motion and character-animation ML, covering motion synthesis, motion matching, retargeting, physics-based control, and reinforcement learning for character control
- At least 5 years of experience applying Machine Learning to real-world problems, with a demonstrated record of delivering impactful, end-to-end ML solutions in Animation in a fast-paced environment
- Evidence of working on state-of-the-art approaches, demonstrated through peer-reviewed publications (e.g. SIGGRAPH, SIGGRAPH Asia, NeurIPS, ICLR, CVPR) and/or shipped projects, open-source contributions, or production systems in Animation that pushed the technical frontier
- Proficiency in programming languages such as Python, C, C++, or C#, and strong hands-on experience with frameworks such as PyTorch, TensorFlow, or JAX
- Strong understanding of statistical analysis, experimental design, and evaluation techniques
- Deep, hands-on experience with Generative Models, including motion diffusion and flow matching models, VAEs, and autoregressive/transformer motion models, applied to building artist-assistive tools and accelerating technical steps in the animation pipeline
- Excellent communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders
Desired Qualifications
- Leadership experience, including mentoring junior team members and interns and driving cross-functional collaboration, is highly desirable
- Experience working in the gaming industry or a related field is a plus
- If you embody player empathy and care about players' experiences
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