Research Engineer - Machine Learning and Systems

• Research, design, and implement models and systems across vision, generative modeling, simulation, rendering, and 3D perception
• Build data, training, evaluation, and deployment pipelines with strong observability and reproducibility
• Translate research insights into reliable production services that meet product and latency requirements
• Contribute hands on across prototyping, optimization, integration, and scaling
• Survey new methods and run grounded evaluations to identify what to adopt and when
• Share expertise through design reviews, mentoring, and documentation

• PhD in Computer Science, Machine Learning, Computer Graphics, Computer Vision, or related field, or equivalent research track record
• Seven or more years of experience in applied ML or research engineering including significant time in fast paced or startup settings
• Strong publication record in top venues such as NeurIPS, ICLR, ICML, CVPR, ECCV, ICCV, SIGGRAPH, or TOG with multiple first author papers or equivalent impactful artifacts
• Proven experience training and serving large models at scale including multi GPU or multi node training, distributed data loading, mixed precision, and memory optimization
• Fluency in Python and C++ and experience writing efficient CUDA or Triton kernels
• Expertise with PyTorch or JAX and modern tooling for experiment tracking, evaluation, and deployment
• Demonstrated ability to take ideas from paper to production with measurable impact on users or business outcomes
• Strong systems skills including profiling, performance tuning, reliability engineering, and cost awareness
• Excellent communication with the ability to work across research and product teams

• Shipped interactive graphics or 3D systems with strict real time constraints
• Experience building custom compilers or graph level optimizations such as CUDA graphs, XLA, or graph capture
• Prior leadership in cross functional initiatives spanning data, infra, and product

Relocation support available