Sr/Staff ML Engineer, Manipulation

United States

Apply with AI Apply

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates must possess a Master's or PhD in Computer Science, Robotics, Machine Learning, or a related field, with at least 5 years of experience in applied machine learning, computer vision, or robotics. A strong background in deep learning frameworks like PyTorch, TensorFlow, or JAX is essential, along with hands-on experience in building and deploying ML models for robotic manipulation, grasping, or dexterous robotics. Expertise with large multimodal ML models (vision-language-action, tactile sensing) and simulation for manipulation (MuJoCo, PyBullet, Isaac, or equivalent) is required. Familiarity with SLAM, mapping, and navigation pipelines, coupled with solid software engineering skills in Python and C++ for ML system integration, is necessary. Proven ability to transition ML models from research prototypes to production deployment and strong debugging skills for diagnosing ML performance gaps in fielded systems are also key requirements.

Responsibilities

The Sr/Staff ML Engineer, Manipulation will drive the development of advanced learning-based manipulation systems, focusing on multimodal perception, grasping, dexterous control, and embodied reasoning. Responsibilities include designing and implementing ML algorithms for robotic manipulation, developing and training large multimodal ML models, and building pipelines for data collection, labeling, and augmentation. Engineers will leverage simulation environments for training and evaluation, optimize models for onboard, real-time performance, and collaborate with other teams to integrate manipulation skills into the robotics stack. They will analyze robot performance, develop benchmarks, iterate based on real-world deployments, contribute to code reviews and documentation, and stay current with state-of-the-art research to bring promising ideas into production.

Skills

Machine Learning

Robotic Manipulation

Grasp Planning

Dexterous Manipulation

Tool Use

Multimodal ML

Computer Vision

Tactile Sensing

Natural Language Processing

Reinforcement Learning

Data Pipelines

Data Augmentation

Simulation Environments

Isaac Gym

MuJoCo

Omniverse

Model Optimization

Real-time Performance

Robotics Hardware

Embodied AI

Diligent Robotics

Develops robots to assist healthcare staff

About Diligent Robotics

Diligent Robotics develops robots like Moxi to assist hospital staff with routine tasks, allowing healthcare professionals to focus more on patient care. Moxi can perform activities such as delivering lab samples and supplies within hospitals, which can save staff up to 30% of their workday. This helps improve operational efficiency and enhances the patient experience. The company uses an A.I. framework that includes social intelligence and human-guided learning to enable Moxi to navigate hospital environments effectively. Unlike competitors, Diligent Robotics focuses specifically on healthcare, providing tailored robotic solutions that integrate seamlessly into hospital workflows. The goal is to transform healthcare by improving staff productivity and patient care through the use of robotics.

Austin, TexasHeadquarters

2017Year Founded

$68.9MTotal Funding

LATE_VCCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Competitive salary & equity

Competitive health plan coverage

Risks

Increased competition from well-funded robotics companies in the USA, China, and Israel.

Maintaining a competitive edge in AI innovation is a constant challenge.

Gender disparity in robotics may impact talent acquisition and retention.

Differentiation

Diligent Robotics' Moxi robot specializes in hospital logistics, enhancing staff efficiency.

Moxi's social intelligence and human-guided learning set it apart in healthcare robotics.

Diligent Robotics focuses on operational efficiency, aligning with value-based care models.

Upsides

Diligent Robotics raised $25 million to expand Moxi's reach in hospitals.

Moxi completed 110,000 autonomous elevator rides, showcasing advanced mobility capabilities.

Growing demand for robotic solutions in healthcare boosts Diligent Robotics' market potential.

Land your dream remote job 3x faster with AI

Try Jobo Free