GrayMatter Robotics · 23 hours ago
Senior Applied AI Engineer
Los Angeles - HQ
Full-time
Onsite
Senior Level
$150K/yr - $170K/yr
5+ years expGrayMatter Robotics is a well-capitalized AI robotics startup headquartered in Los Angeles, focusing on serving the manufacturing industry with smart robots. The Senior Applied AI Engineer will be responsible for designing and implementing AI models for robotic manufacturing systems, ensuring effective integration and performance in real-world environments.
Artificial Intelligence (AI)Machine LearningRobotics
Responsibilities
Design, implement, and train state-of-the-art AI models for perception, inspection, decision-making, and control in real-world robotic manufacturing systems
Lead the development of simulation-based tooling used across a broad range of AI use cases at GMR, including reinforcement learning for recipe learning, scalable synthetic data generation, and autonomous robotic cell setup
Own and advance synthetic data generation pipelines, leveraging generative AI techniques for complex 3D geometry and environment, physics-based simulation, and image data, and scaling them across diverse processes and applications
Develop and deploy multi-modal inspection and health monitoring systems, integrating vision, 3D sensing, force/torque, and other sensor modalities
Bridge the gap between simulation and reality, ensuring models trained in simulation transfer robustly to physical robotic cells
Optimize, deploy, and maintain ML models on production robotic systems, considering latency, reliability, and hardware constraints
Troubleshoot complex, cross-disciplinary issues spanning ML models, simulation environments, robotics software, sensors, and hardware
Qualification
Required
Master's Degree or PhD in Computer Science, Robotics, Mechanical Engineering or a closely related field plus 5-8 years of experience
Strong proficiency in Python is required; candidates with strong working knowledge of both Python and C++ in robotics systems will be preferred
Deep expertise in machine learning and deep learning, with hands-on experience using frameworks such as PyTorch
Demonstrated experience working with real robotic manipulators, including deploying and testing machine learning models on physical robots operating in real-world environments
Demonstrated experience working with simulation environments and/or physics-based modeling for robotics (e.g., Isaac Lab or MuJoCo)
Strong software engineering discipline, including writing clean, maintainable, well-tested, and performance-optimized code
Proven ability to diagnose and solve ambiguous, system-level problems and iterate quickly under real-world constraints
Preferred
Experience with synthetic data generation and simulation-driven dataset creation for perception and inspection tasks, including the use of generative models such as Gaussian Splatting, diffusion models, or flow matching-based approaches
Deep understanding and hands-on experience using physics engines and robotics simulation platforms (e.g., Isaac Lab, MuJoCo) to solve complex real-world robotics problems
Experience with reinforcement learning, imitation learning, or policy optimization for robotic manipulation or process control
Hands-on experience with 3D data (point clouds, meshes, SDFs, CAD-derived geometry) and related tooling
Exposure to robotics inspection or quality assurance problems involving multimodal sensing (e.g., vision + force, vision + acoustics, vision + tactile, etc.)
Experience with robotics middleware and tooling (e.g., ROS/ROS 2) and deployment on real robotic hardware
Prior experience working in industrial, manufacturing, or high-mix automation environments
A publication track record, or demonstrated interest in publishing applied research in venues such as ICRA, CoRL, RSS, IROS, RA-L, or T-RO, balanced with a strong bias toward real-world production impact
Benefits
Medical
Dental
Vision
Unlimited PTO
401(k) plan + employer match
Regular offsite events
A discretionary fund for enhancing productivity
Company
GrayMatter Robotics
GrayMatter Robotics provides AI-powered robotic solutions that enhance productivity and efficiency for high-mix manufacturers.
51-200 employees
H1B Sponsorship
GrayMatter Robotics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (4)
2023 (9)
2022 (1)
2021 (1)
Funding
Current Stage
Growth StageTotal Funding
$70.36MKey Investors
Wellington ManagementBow CapitalNational Science Foundation
2024-06-20Series B· $45M
2022-08-16Series A· $20M
2021-10-07Grant· $1M
Leadership Team
Ariyan Kabir
Co-Founder - CEO
Recent News
National Center for Manufacturing Sciences
2025-11-01
Company data provided by crunchbase