Senior/Staff Machine Learning Engineer, Manipulation

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August 29

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Diligent Robotics

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Healthcare Insurance • Artificial Intelligence • Robotics

Diligent Robotics is a company that pioneers in integrating robotics into healthcare settings to improve efficiency and patient care. Their flagship robot, Moxi, assists hospital staff by fetching medications, labs, and supplies, significantly reducing the time healthcare professionals spend on non-clinical tasks. Diligent Robotics focuses on enhancing clinical workflows, addressing staff shortages, and ensuring better patient experiences through their innovative robotic solutions.

2 - 10 employees

Founded 2017

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

💰 $30M Series B on 2022-04

📋 Description

• Design and implement ML algorithms for robotic manipulation, including grasp planning, dexterous manipulation, and tool use. • Develop and train large multimodal ML models (vision, tactile, language, action) to enable robust manipulation behaviors. • Build pipelines for data collection, labeling, and augmentation to support manipulation learning. • Leverage simulation environments (Isaac Gym, MuJoCo, Omniverse, etc.) for training, evaluation, and transfer to real robots. • Optimize models for onboard, real-time performance on robotic hardware. • Collaborate with perception, navigation, and platform teams to integrate manipulation skills into the full robotics stack. • Analyze robot performance, develop benchmarks, and iterate based on real-world deployments. • Contribute to code reviews, documentation, and best practices for ML/robotics development. • Stay current with state-of-the-art manipulation and embodied AI research, bringing promising ideas into production.

🎯 Requirements

• Master’s or PhD in Computer Science, Robotics, Machine Learning, or related field. • 5+ years of experience in applied machine learning, computer vision, or robotics. • Strong background in deep learning frameworks (PyTorch, TensorFlow, JAX). • Hands-on experience building and deploying ML models robotic manipulation for grasping, manipulation, or dexterous robotics. • Expertise with large multimodal ML models (vision-language-action, tactile sensing). • Experience with simulation for manipulation (MuJoCo, PyBullet, Isaac, or equivalent). • 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.