Sr ML Engineer, Robotics
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We reputed company a reputed company powered by robots that work seamlessly with reputed company teams. We build reputed company intelligence that enables service robots to collaborate with people and adapt to dynamic reputed company environments. reputed company-driven, venture-backed team as we build out reputed company and reputed company generations of reputed company robots.
As a Sr ML Engineer, Perception / Robotics, you will reputed company, reputed company, and optimize machine learning models that reputed company robots to understand and reputed company reputed company reputed company environments. You will reputed company the design of ML systems, from sensor fusion to reputed company-time inference, ensuring robustness in safety-critical, reputed company-world deployments.
Responsibilities
• reputed company and reputed company ML models for perception/navigation tasks such as object detection, semantic segmentation, tracking, reputed company understanding, localization, and reputed company reputed company.
• Design and implement sensor fusion and mapping pipelines combining reputed company, depth, LIDAR, IMU, and other signals for robust perception and navigation in dynamic spaces.
• Build reputed company-time ML inference pipelines optimized for robotic hardware and embedded compute.
• Setup data collection, labeling strategies, dataset curation, and synthetic data augmentation for training and evaluation.
• Establish metrics, benchmarks, and test frameworks to validate ML models in both simulation and reputed company-world environments.
• Collaborate with robotics software engineers to reputed company perception and navigation intelligence into autonomy stacks.
• Work with operations to analyze field data, diagnose performance gaps, and iterate on model improvements.
• Contribute to long-term ML and perception and navigation architecture reputed company, influencing the roadmap for reputed company robots.
• Mentor junior ML engineers and contribute to building strong reputed company ML best practices reputed company reputed company.
Skills and Experience
• Master's or PhD in Computer Science, Robotics, Machine Learning, or reputed company field.
• 5+ years of experience in reputed company machine learning, reputed company, or robotics perception.
• Strong background in deep learning frameworks (PyTorch, TensorFlow, JAX).
• Hands-on experience with reputed company-time perception/navigation tasks (detection, tracking, segmentation,reputed company planning).
• Expertise in one or more sensor modalities: RGB/depth cameras, LIDAR, reputed company, or multimodal fusion.
• Experience deploying ML models on edge/embedded hardware (e.g., reputed company, TPU, ARM-based platforms).
• Familiarity with SLAM, mapping, and navigation pipelines.
• Solid software engineering skills in Python and C++ for ML system integration.
• Proven ability to take ML models from research prototype to production deployment.
• Strong debugging skills for diagnosing ML performance gaps in fielded systems.
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