Sr/Staff ML Engineer, Robotics at Diligent Robotics

Wake Forest, North Carolina, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

RoboticsIndustries

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 perception
Strong background in deep learning frameworks (PyTorch, TensorFlow, JAX)
Hands-on experience with real-time perception/navigation tasks (detection, tracking, segmentation, path planning)
Expertise in one or more sensor modalities: RGB/depth cameras, LIDAR, radar, or multimodal fusion
Experience deploying ML models on edge/embedded hardware (e.g., Jetson, 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

Responsibilities

Develop and deploy ML models for perception/navigation tasks such as object detection, semantic segmentation, tracking, scene understanding, localization, and path prediction
Design and implement sensor fusion and mapping pipelines combining vision, depth, LIDAR, IMU, and other signals for robust perception and navigation in dynamic spaces
Build real-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 real-world environments
Collaborate with robotics software engineers to integrate 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 decisions, influencing the roadmap for future robots
Mentor junior ML engineers and contribute to building strong applied ML best practices within the team

Skills

Key technologies and capabilities for this role

Object DetectionSemantic SegmentationTrackingScene UnderstandingLocalizationPath PredictionSensor FusionLIDARIMUReal-time InferenceData CurationSynthetic Data AugmentationRobotics Autonomy

Questions & Answers

Common questions about this position

What education and experience are required for this Sr/Staff ML Engineer role?

A Master’s or PhD in Computer Science, Robotics, Machine Learning, or related field is required, along with 5+ years of experience in applied machine learning, computer vision, or robotics perception.

What technical skills are essential for this position?

Key skills include strong background in deep learning frameworks like PyTorch, TensorFlow, JAX; hands-on experience with real-time perception tasks such as detection, tracking, segmentation; expertise in sensor modalities like RGB/depth cameras, LIDAR; and solid software engineering in Python and C++.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office presence?

This information is not specified in the job description.

What does the team environment look like at Diligent Robotics?

The role involves collaborating with robotics software engineers and operations teams, mentoring junior ML engineers, and contributing to building strong applied ML best practices within a mission-driven, venture-backed team focused on humanoid robots.

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.

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