Senior Machine Learning Engineer - 3D Reconstruction

Applied Intuition • Sunnyvale, CA

6d • Onsite

About The Position

Applied Intuition, Inc. is seeking senior machine learning engineers to advance the core reconstruction technology behind Neural Simulation, their state-of-the-art product for transforming real-world driving data into high-fidelity, photorealistic simulation environments. This role involves pushing the boundaries of reconstruction quality, scaling to larger data volumes, and enhancing usability for customers training and validating autonomy systems. The work will directly influence the development of next-generation autonomous vehicles by major OEMs. This position is ideal for engineers skilled in 3D computer vision, graphics, and machine learning, who are eager to integrate the latest research into production and address simulation gaps in Physical AI.

Requirements

• 5+ years of experience developing and shipping ML or computer vision systems.
• A minimum of a Bachelor's degree in computer science, physics, robotics, or equivalent.
• Strong hands-on experience with modern learning-based 3D reconstruction techniques, such as 3D Gaussian Splatting and NeRFs.
• A solid foundation in multi-view geometry, camera models, and differentiable rendering.
• Proficiency in Python and PyTorch, along with C++ and/or CUDA.
• A proven ability to turn research ideas into robust, production-quality software.
• Strong problem-solving skills and comfort with ambiguity.

Nice To Haves

• Experience with feed-forward or generalizable Gaussian Splatting and reconstruction models.
• A background in computer vision (e.g., SfM, SLAM, photogrammetry) and/or computer graphics (e.g., rendering, rasterization, ray tracing).
• A track record of shipping ML products with clearly defined evaluation metrics and benchmarks.
• Experience in autonomous driving or robotics, including working with multi-sensor data (camera, LiDAR, radar).
• Peer-reviewed research at conferences such as CVPR, ICCV/ECCV, NeurIPS, SIGGRAPH, ICRA, or IROS.
• A Master's degree or PhD in computer science, physics, robotics, or related fields.

Responsibilities

• Advance learning-based reconstruction methods at the core of the product, such as 3D Gaussian Splatting and NeRFs, bringing the latest research into production to improve fidelity, robustness, and scalability.
• Push the limits of neural reconstruction for large-scale, dynamic driving scenes, including dynamic actor reconstruction and scene editing, novel view synthesis and multi-sensor rendering (camera, LiDAR), and scaling reconstruction quality and throughput across large volumes of fleet data.
• Explore and productionize feed-forward reconstruction approaches that reduce per-scene optimization cost and enable reconstruction at scale.
• Define and build evaluation metrics, benchmarks, and validation workflows that measure reconstruction fidelity and sim-to-real gap.
• Work closely with customers to understand their pain points and implement technical solutions in the Neural Simulation product.
• Collaborate closely with Infra, Autonomy, Research and other product teams to deliver end-to-end solutions.
• Take ownership of critical technical components and influence architecture and product decisions.

Benefits

• The company offers competitive compensation and benefits packages.
• Applied Intuition is an equal opportunity employer and federal contractor or subcontractor.
• Reasonable accommodations are available for applicants who are disabled veterans and other applicants with disabilities or medical conditions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior