Senior/Staff Machine Learning Engineer, Diligent Robotics
Manipulation
AI-powered robots for patient care teams
Be an early applicant
AI-powered robots for patient care teams
201-500 employees
Be an early applicant
201-500 employees
Company mission
To create robot assistants that help healthcare workers with routine tasks so they can focus on what they do best: patient care.
Role
Who you are
- 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
What the job involves
- As a Sr/Staff ML Engineer, Manipulation, you’ll drive the development of advanced learning-based manipulation systems
- You’ll focus on multimodal perception, grasping, dexterous control, and embodied reasoning—ensuring our robots can safely and robustly interact with the world around them
- This is a hands-on role: you’ll design models, implement algorithms, and bring manipulation skills from research into real-world deployment
- 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
Our take
Healthcare workers do everything they can to provide high-quality care to patients, but the high-pressure work environment can make this difficult. Whilst in-person care is their most important job, different scenarios will require workers to constantly fetch different medical items for patients, increasing job pressure and restricting the time workers have to spend with patients.
Diligent Robotics develops AI-powered robots for patient care teams called Moxi that can fetch, store, and deliver items needed within healthcare facilities. The robots have specialized storage compartments for sensitive medical materials and can safely navigate through elevators, security doors, automatic doors, and other existing infrastructure.
Whilst AI is becoming more prevalent in the healthcare industry, Diligent Robotics has taken a bold move to develop AI-driven robots that tackle the constant frustrations of item fetching that workers face. This allows them to focus more on providing in-person care to patients. Its Moxi Robot is gaining promising traction, reaching 1 million deliveries in early 2025.
Freddie
Company Specialist at Welcome to the Jungle
Insights
70% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Sep 2023
$25m
LATE VC
Apr 2022
$30m
SERIES B
Total funding: $70.9m
Company benefits
- A collaborative and mission-driven team working on challenging problems that promise to radically change the future of healthcare
- Competitive health plan coverage for individuals and dependents
- Experience working with some of the leading experts in human-robot interaction
- A positive and supportive working environment in Austin, TX
Company HQ
North Side, Austin, TX
Leadership
Andrea L. Thomaz
(Co-Founder & CEO)Associate Professor for the Socially Intelligent Machines at the Georgia Institute of Technology from 2007 to 2016, and in Electrical and Computer Engineering for The University of Texas at Austin since 2016.
Vivian Chu
(Co-Founder & CTO)Experience as User Experience Researcher at Google X (Project Wing). Graduate Research Assistant for the Georgia Institute of Technology from 2013 to 2017.
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