Senior Machine Learning Engineer - 3D Reconstruction
Applied Intuition22 hours ago
Base Salary
$190k - $260k/yr
Responsibilities
- Advance learning-based 3D reconstruction methods such as 3D Gaussian Splatting and NeRFs and bring research into production.
- Develop reconstruction capabilities for dynamic actors, scene editing, novel-view synthesis, and camera/LiDAR rendering.
- Scale reconstruction quality and throughput across large volumes of fleet data.
- Productionize feed-forward reconstruction approaches that reduce per-scene optimization costs.
- Define evaluation metrics, benchmarks, and validation workflows for reconstruction fidelity and sim-to-real performance.
- Work with customers to understand pain points and implement technical solutions in the Neural Simulation product.
- Collaborate with Infrastructure, Autonomy, Research, and product teams on end-to-end solutions.
- Own critical technical components and influence architecture and product decisions.
Requirements
- 5+ years of experience developing and shipping machine-learning or computer-vision systems.
- Minimum bachelor’s degree in computer science, physics, robotics, or an equivalent qualification.
- Strong hands-on experience with learning-based 3D reconstruction techniques, including 3D Gaussian Splatting and NeRFs.
- Strong foundation in multi-view geometry, camera models, and differentiable rendering.
- Proficiency in Python and PyTorch, along with C++ and/or CUDA.
- Ability to turn research ideas into robust, production-quality software.
- Strong problem-solving skills and comfort with ambiguity.
- Preferred experience with feed-forward or generalizable Gaussian Splatting and reconstruction models.
- Preferred background in computer vision, including SfM, SLAM, or photogrammetry, and/or computer graphics, including rendering, rasterization, or ray tracing.
- Preferred track record of shipping ML products with defined evaluation metrics and benchmarks.
- Preferred experience in autonomous driving or robotics and multi-sensor data such as camera, LiDAR, and radar.
- Peer-reviewed research at conferences such as CVPR, ICCV/ECCV, NeurIPS, SIGGRAPH, ICRA, or IROS is a plus.
- A master’s degree or PhD in computer science, physics, robotics, or a related field is a plus.
Benefits
- Full-time employees primarily work from an Applied Intuition office five days per week, with occasional remote-work flexibility.
- The company provides reasonable accommodations for applicants with disabilities, disabled veterans, and other medical conditions.
Categories
About Applied Intuition
Applied Intuition builds software tools, infrastructure, and operating systems for developing, testing, and deploying autonomous and driver-assistance systems across automotive, trucking, defense, construction, mining, and agriculture. It sells enterprise software and services including simulation, sensor data management, HD mapping, and a vehicle OS to OEMs and government customers. Founded in 2017 and headquartered in Sunnyvale, California, it counts 18 of the top 20 global automakers and the U.S. military among its users.