Robotics Machine Learning

Robotics Machine Learning Developer Jobs

3 jobs found

Today

Senior Machine Learning Engineer, Perception - Autonomous Driving

NVIDIA Santa Clara, CA

Santa Clara, CA

Today

$184k - $357k/yr Full time Artificial Intelligence Autonomous Driving Perception Autonomous Driving Simulation

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Job Description

Build and productize autonomous driving perception systems for traffic signal understanding with solutions designed to work without reliance on HD maps.

Responsibilities

Design end-to-end perception and AV stack solutions for traffic signal detections across diverse driving environments, from complex intersections to rural roads and highways
Conduct applied research and development of deep learning models for traffic signal tasks, including:
- Traffic light detection
- Traffic sign recognition
- Road marking detection
- Construction object detection
- Text recognition
- Other traffic signal-related tasks
Develop generalizable methods to support diverse ODDs and enable country or region expansion
Drive data-driven development by partnering with large data collection and labeling teams to prioritize high-value data:
- Data collection prioritization and planning
- Labeling prioritization
- Labeling efficiency optimization
- Maximize the value of data to improve perception accuracy
Use data simulation and augmentation to address extreme and rare scenarios
Productize perception solutions by meeting product requirements for safety, latency, and software robustness

Requirements

Minimum education and experience:
- PhD with 4+ years, or
- MS with 6+ years, or
- BS (or equivalent experience) with 8+ years in Computer Science, Computer Engineering, or a related technical field
2+ years of technical leadership with high technical and organizational complexity is a plus
Hands-on experience building deep learning models and algorithms to solve complex real-world problems
Proficiency with deep learning frameworks, such as PyTorch
Experience with data-driven development and collaboration with data and ground truth teams
Strong programming skills in Python and/or C++
Strong communication and teamwork skills in a collaborative, learning-focused environment

Technologies

PyTorch
Python
C++
Deep learning frameworks
Transformers
BEV architectures
Visual Language Models

Benefits

Eligible for equity and benefits

Ways to Stand Out

Proven expertise developing generalizable autonomous driving or robotics perception solutions using deep learning with cameras
Hands-on experience developing and deploying DNN-based solutions to embedded platforms for real-time applications
Deep learning expertise supported by technical publications in leading conferences or journals
Expertise with Visual Language Models, Transformers, BEV architectures, and modern traffic signal perception techniques
Experience with complex object detection and recognition is a plus

Location: Santa Clara, CA (onsite)

Compensation: USD 184,000 - 356,500 per year

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5d ago

Staff, Robotics ML/Data Engineer

Persona AI Inc Houston, TX

Houston, TX

5d ago

Full time Python Analytics Artificial Intelligence

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Job Description

Persona AI Inc is hiring a Staff, Robotics ML/Data Engineer to architect and scale multimodal robotics data pipelines for foundation model training.

Responsibilities

Design cross-modal validation systems that check agreement across video, proprioception, force or haptic signals, and language annotations.
Run validation approaches such as reprojecting robot state into the image plane to verify video-state consistency.
Use VLM-assisted checks to confirm instructions align with observed behavior.
Orchestrate multimodal modules including hand-tracking, segmentation, depth estimation, 3D reconstruction, and pose-tracking.
Retarget human demonstrations into robot trajectories.
Apply simulation-in-the-loop validation to ensure physical grounding, including kinematic feasibility, physics replay, and motion-consistency filtering.
Implement robust data augmentation for expert trajectories using spatial transformations, temporal scaling, synthetic viewpoints, and sensor noise injection.
Unify state-action representations across embodiments, coordinate frames, rotation conventions, gripper or hand parameterizations, and sampling rates.
Add per-dimension validity masking and per-source normalization so onboarding a new robot or sensor is configuration-driven rather than a rewrite.
Build dataset tooling for researchers to query, visualize, and audit data, including clip browsers, trajectory viewers, and annotation review UIs.
Translate model failure analyses into new curation rules and targeted re-collection requests.
Architect end-to-end ingestion pipelines from raw recordings such as egocentric video, teleoperation sessions, and third-party open datasets.
Produce indexed, queryable, training-ready datasets including temporal segmentation into action clips.
Extract metadata and scene-graph information, support embedding-based retrieval, and implement language annotation workflows.

Requirements

M.S. or Ph.D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field.
Deep expertise in Python and extensive experience with PyTorch, including custom dataloaders for multimodal datasets.
Experience processing complex time-series data from force-torque (F/T) sensors, load cells, or tactile arrays with precise alignment to visual frames.
Strong video processing pipeline experience and familiarity with libraries including OpenCV, FFmpeg, and Decord, including managing I/O bottlenecks for terabyte-scale video datasets.
Working knowledge of 3D geometry and robotics data: coordinate frames and transforms, rotation representations, camera intrinsics and extrinsics, forward and inverse kinematics, and URDF.
Ability to implement programmatic and generative data augmentation techniques for computer vision and time-series data.

Technologies

Python, PyTorch, OpenCV, FFmpeg, Decord
URDF
Ray, Apache Spark
Open X-Embodiment, DROID, AgiBot World, EgoDex
SAM-family, MANO, SMPL
Omniverse, MuJoCo
NVIDIA robotic software stack, NVIDIA's robotic software stack
VLM

Bonus Skills

Experience with NVIDIA’s robotic software stack, including Open X-Embodiment, DROID, AgiBot World, EgoDex, or similar.
Familiarity with modern perception toolbox workflows as a user: segmentation (SAM-family), monocular depth, hand or body pose estimation (MANO/SMPL), 6-DoF object pose tracking, and point tracking.
Comfort composing and evaluating these components in a data pipeline without needing to train the models.
Familiarity with distributed data processing for cluster computing (Ray, Apache Spark).
Background generating or utilizing synthetic robotic data via simulation (Omniverse, MuJoCo).
Experience integrating spatial awareness or tactile data representations (for example, Fourier encoding) into visual pipelines.

Benefits

Competitive compensation
Performance-based bonus
99% employer covered medical benefits
Early-stage equity
Competitive PTO
Company-wide paid winter break between December 24th and January 2nd
Full access to advanced tools

Job Details

Job Title: Staff, Robotics ML/Data Engineer
Department: Software
Reports To: Teleoperations Lead
Employment Type: Full-Time
Location: Houston, TX (onsite); Houston, TX or Pensacola FL

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1mo ago

Robotics Machine Learning Engineer

Persona AI Inc Houston, TX

Houston, TX

1mo ago Closed

Full time Artificial Intelligence Cloud Platform Cloud Platforms

This position is no longer accepting applications (closed Sep 7, 2026).

Job Description

Work onsite in Houston, TX at Persona AI Inc, partnering with the Machine Learning team to advance humanoid robotics for heavy industry. In this full-time role, you will help build and operationalize ML that supports manipulation, navigation, locomotion, and perception, reporting to the Head of Machine Learning.

What Persona AI Inc offers

Competitive compensation
Performance-based bonus
99% employer covered medical benefits
Early-stage equity
Competitive PTO
Company-wide paid winter break from December 24th to January 2nd

Responsibilities

Collaborate on the design and development of the Persona ML software stack and support its application across manipulation, navigation, locomotion, and perception.
Work with the ML team to craft and execute a comprehensive plan for machine learning model development, staying current with state of the art research and R&D.
Develop, test, and deploy software, machine learning pipelines, and data collection pipelines.
Monitor and evaluate model performance in real-world settings.
Collaborate with Universities and other companies.
Contribute to attracting, nurturing, and growing the machine learning and autonomy teams.

Requirements

3+ years of experience in machine learning applied to robotics.
Courage and grit to tackle some of the hardest problems in embodied AI.
Enthusiasm for collaborative work in a high-paced team environment.
Experience with deep learning frameworks including PyTorch, JAX, TensorFlow (or equivalent).
Experience with cloud computing for developing models and storing data (including AWS, Azure, GCP).
Strong understanding of state of the art robot learning research, including behavior cloning for manipulation, reinforcement learning for locomotion, and world models.
Understanding of the challenges of deploying neural network models in the real world.
Experience deploying both traditional and learning-based approaches for robotics.
Ability to write high-quality software.
Ability to thrive in fast paced and ambiguous environments.
Strong first principles thinking.

Bonus skills

Advanced degree (Masters or PhD) in computer science, robotics, machine learning, or a related field.
Published papers at top ML/Robotics conferences: ICML, ICRA, CoRL, RSS, NeurIPS.
Experience deploying robots, collecting large amounts of data, and training large neural networks that work in production environments.

Tech stack

PyTorch, JAX, TensorFlow, AWS, Azure, GCP

Department: Machine Learning
Reports to: Head of Machine Learning
Travel: 10%

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Robotics Machine Learning Developer Jobs

Senior Machine Learning Engineer, Perception - Autonomous Driving

Staff, Robotics ML/Data Engineer

Robotics Machine Learning Engineer

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