FlairX · 3 days ago
Principal Architect – Navigation (AI/ML) (RL & Simulation focused)
San Francisco, CA
Full-time
Hybrid
Lead/StaffFlairX is a robotics unicorn based in San Francisco, CA, focused on developing cutting-edge machine learning technology for intelligent automation systems. The Principal Architect – Navigation (AI/ML) will lead the design and development of advanced navigation systems, driving innovation in path planning and autonomous decision-making for robotics and logistics applications.
Computer Software
Hiring Manager
Meghna Banerjee
Responsibilities
Architect and build robust ML and deep learning models for navigation and control systems
Design and implement reinforcement learning agents within simulation environments
Drive end-to-end development and deployment of production-grade ML models
Collaborate closely with cross-functional teams across robotics, perception, and infrastructure
Evaluate and integrate classical and modern path planning algorithms (e.g., A*, RRT, etc.)
Leverage simulation tools to test and validate navigation models in virtual environments
Guide the implementation of MLOps best practices, including data pipelines, training, deployment, and monitoring
Stay ahead of emerging trends in AI, reinforcement learning, and robotics
Qualification
Required
Strong expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch)
Hands-on experience in building and deploying production-grade ML models
Demonstrated experience with simulation environments (e.g., Gazebo, CARLA, Unity)
Deep understanding and practical application of reinforcement learning algorithms
Proficiency in classical and modern path planning algorithms (A*, RRT, D* Lite, etc.)
Solid understanding of robotics fundamentals, such as kinematics and motion control
Experience working in physical domains like warehouse automation, autonomous vehicles, or logistics
Familiarity with cloud-based ML services (e.g., Google Vertex AI, AWS Sagemaker, Azure ML)
Knowledge of the full ML lifecycle, including data collection, training, MLOps, and CI/CD deployment pipelines
Preferred
Published research in AI, Robotics, or Navigation in reputed journals or conferences
Expertise in multi-robot path planning algorithms and coordination strategies
Company
FlairX
FlairX offers a streamlined Interview-as-a-Service platform that connects companies with expert interviewers for precise, unbiased candidate evaluations.
Founded in 2024
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase