We are hiring a principal level Research Engineer with deep strength in machine learning or 3D graphics, software engineering, and systems design. You will bridge frontier research with production systems and ship advanced models used in real products. The work spans exploration, rapid prototyping, rigorous experimentation, and dependable production deployment. Expect to push the limits of spatial intelligence and controllable graphics while keeping systems robust, scalable, and cost efficient.
Role
You will partner with research, engineering, and product to design, build, and operate large models and high performance systems. You will set technical standards, mentor others, and raise the bar for research quality, code quality, and reproducibility.
Key responsibilities
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
Minimum qualifications
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
Preferred qualifications
Contributions that are widely used in the community such as open source libraries, datasets, or benchmarks with visible adoption
Experience in neural rendering, differentiable rendering, 3D reconstruction, volumetric video, SLAM, geometric deep learning, or simulation
Experience operating large training jobs on Kubernetes, Slurm, or Ray across public cloud environments
Experience with evaluation and safety for generative or interactive models including red teaming and guardrail design
Track record of mentoring teams and setting research and engineering best practices
Patents or awards that recognize technical contributions
Nice to have
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
How to apply
Please include a CV, links to publications, code, and a brief summary of two projects that best represent your impact. Include details on model scale, data scale, latency or throughput targets, and the concrete results you achieved.
On site in New York City required. Relocation support available.
About True3D Labs
We build AI models that convert any video to fit any screen without reshoots.
