ML Engineer, Robotic Manipulation & Control

Diligent Robotics; Indiana (PA); On-site; USD 120,000 - 180,000; Full time

Job summary

Diligent Robotics is seeking an ML Engineer, Manipulation, to develop learning-based manipulation systems for mobile robots operating in dynamic human environments. You will build perception-to-action models, training datasets, evaluation tooling, and deployment pipelines to improve robustness, generalization, and safety at scale.

You will collaborate with the AI platform and robotics teams, optimize models for edge hardware, and lead sim-to-real efforts with domain randomization to reduce

Qualifications

• Bachelor’s or Master’s degree in Robotics, CS, EE or related field.
• 3+ years ML for robotics manipulation, visuomotor control, or sequential-to-sequence models.
• Strong proficiency in PyTorch and building reliable training/evaluation pipelines.
• Strong Python software engineering and cross-functional collaboration.

Responsibilities

• Develop learning-based manipulation models for end-to-end sensor-driven interaction (reaching, motion generation, execution).
• Build and maintain manipulation training pipelines: dataset creation from robot logs/teleop, action representations, augmentation, distributed training.
• Design evaluation metrics and regression tests that quantify manipulation reliability, recovery behavior and safety.
• Develop sim-to-real workflows for manipulation learning, including simulation environments, domain randomization, and failure-mode testing.
• Optimize and distill models for edge deployment; benchmark latency, memory use, and stability on target hardware.
• Partner with the AI platform team to integrate policies with control and safety systems, and validate end-to-end performance on robots.
• Analyze field performance, identify dominant failure modes, and drive iterative improvements.

Skills

PyTorch

Python

Robotics ML

Visuomotor control

Education

Bachelor’s or Master’s in Robotics/CS/EE

Tools

Isaac Sim

Mujoco

ONNX

TensorRT

Job description

Diligent Robotics is seeking an ML Engineer, Manipulation, to develop learning-based manipulation systems for mobile robots operating in dynamic human environments. You will build perception-to-action models, training datasets, evaluation tooling, and deployment pipelines to improve robustness, generalization, and safety at scale.

You will collaborate with the AI platform and robotics teams, optimize models for edge hardware, and lead sim-to-real efforts with domain randomization to reduce