Robotics and Machine Learning Engineer Job at NTT DATA (Plano)

Robotics Machine Learning Engineer

In this role you will close the loop between human instruction and robot automat...

Location

United States , Watertown

Salary:

90000.00 - 190000.00 USD / Year

Tutor Intelligence

Expiration Date

Until further notice

Requirements

Knowledge of machine learning models, particularly visual models with an emphasis on recent advanced models such as SAM, DINO, etc.
Strong software skills
Full stack knowledge, ability to not only work on machine learning models in python but also to spin up inference infrastructure, web ui, and perform database operations
General robotics knowledge & experience

Job Responsibility

Train, fine tune, and deploy visual and language foundation models across our stack
Manage data in databases and optimize the flow of information from our robots to maximize machine learning potential

What we offer

generous equity
fully covered health + dental
unlimited PTO

Fulltime

Sr. Computer Vision and Machine Learning Engineer

We have an immediate opening for a Sr. computer vision and machine learning engi...

Location

United States , Bridgewater

Salary:

75000.00 - 90000.00 USD / Year

Invonto

Expiration Date

Until further notice

Requirements

A degree in computer science, engineering, robotics, or relevant field
Minimum 5 years of experience creating production ready applications using computer vision and machine learning
Experience creating datasets and algorithmic modeling
Experience with real-time object detection, segmentation, and pattern development using machine learning
3+ years of experience with Python programming, Postgres database, and API development
Experience with deep learning frameworks PyTorch and Tensorflow
Experience deploying applications on AWS
Must be able to perform independently or in a small team
Must have a knack for working on modern technologies and ability to develop new skills
Excellent written and verbal communication skills

Machine Learning Research Engineer - Robotics

Scale’s Robotics business unit is dedicated to solving the data bottleneck in Ph...

Location

United States , San Francisco

Salary:

218400.00 - 273000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Practical experience building training VLA models and/or building robotics data
3+ years of relevant industry experience in areas relating to: robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models
PhD or equivalent experience in Machine Learning or Robotics
A track record of published research in robotics
Experience conducting data collection and performing evaluations
Strong written and verbal communication skills and the ability to work with cross-functional teams and customers
Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy

Job Responsibility

Collaborate closely with Robotics customers to drive the industry forward in using VLA data
Develop ML pipelines to train/fine-tune models using Scale’s data
Conduct research on robotics data collection, cross-embodiment training, and policy fine-tuning
Develop novel methods for evaluating VLA models, including new robotics industry benchmarks
Partner with cross-functional stakeholders and Scale’s customers to improve data collection
Collaborate with product teams to bring ML outcomes to Scale’s platform

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
may be eligible for additional benefits such as a commuter stipend

Fulltime

Senior Machine Learning Engineer, Computer Vision - Robotics

Scale’s Robotics business unit is dedicated to solving the data bottleneck in Ph...

Location

United States , San Francisco

Salary:

218400.00 - 273000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master’s degree with 4+ years of equivalent professional experience in an applied research setting
5+ years of hands-on experience in algorithm development for 2D/3D computer vision and deep learning
Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax)
Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation
In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles
Building real-time and batch ML systems that analyze structured and unstructured signals
Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements

Job Responsibility

Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds)
Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real-time 3D mapping, pose estimation, and environmental modeling from multi-modal sensor inputs (e.g., RGB-D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full-body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high-performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video-based action recognition, and motion analysis
Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large-scale cloud infrastructure
Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross-functional teams
Publication & IP: Maintain state-of-the-art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research
Cross-Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
may be eligible for additional benefits such as a commuter stipend

Fulltime

Senior Machine Learning Engineer, Reinforcement Learning

About the Role: We are looking for a Senior Machine Learning Engineer with stron...

Location

United States , Beverly Hills, CA

Salary:

150000.00 - 185000.00 USD / Year

Snail Games

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning, with hands-on experience building, training, and iterating on applied ML systems
Professional or substantial project experience with reinforcement learning, agent-based systems, sequential decision-making, or closely related areas
Strong Python skills and experience with modern ML frameworks such as PyTorch
Experience designing experiments, evaluating model behavior, and improving results through systematic iteration
T-shaped capability: deep machine learning expertise plus practical range across one or more adjacent areas such as simulation, evaluation, model integration, systems collaboration, or robotics-adjacent machine learning
Strong problem-solving ability, sound judgment, and comfort working in ambiguous, fast-changing environments
Respectful, low-ego collaborative style and willingness to work beyond a narrow specialty when the work requires it

Job Responsibility

Design, train, and iterate on machine learning models for intelligent agents and decision-making systems, with an emphasis on reinforcement learning and related approaches
Define and refine state representations, action spaces, reward structures, and evaluation criteria to improve agent behavior
Build and improve practical experimentation and training workflows, including data generation, experiment tracking, and reproducibility
Analyze results, debug model behavior, and make pragmatic tradeoffs between model performance, iteration speed, and system complexity
Work closely with engineers and other partners to help integrate successful ML work into usable product systems
Contribute thoughtful technical input on next-step experiments, tooling, and ML direction as Egofold continues to evolve

What we offer

True focus on work/life balance
Paid company holidays, vacation, and separate sick leave
Medical, dental, vision, and Life/LTD
401k with company match

Fulltime

New

Senior Machine Learning Engineer – AV Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We'...

Location

United States , Sunnyvale

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

4+ years of working experience in the ML/Robotics industry
Bachelor's degree in Computer Science, Computer Engineering, or related fields
Proficient in Python and Linux environments
Familiar with modern AI/ML frameworks (e.g., PyTorch).

Job Responsibility

Algorithm Development: Lead the development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake
Systems Architecture Design: Architect scalable ML systems, including management of upstream sensor dependencies
Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions for ML technology that can stand the test of scale and availability
Dataset Optimization: Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling
Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.

What we offer

Bonus program
Equity award & other types of comp
401(k) plan
Various benefits

Fulltime

Machine Learning Engineer intern

As a Machine Learning Engineer Intern at Voi, you will play a key role in design...

Location

Sweden , Stockholm

Salary:

Not provided

Voi Technology

Expiration Date

Until further notice

Requirements

Current enrolment in an MSc in Computer Science, Machine Learning, Robotics or a related field, with around one year or less remaining in your studies
Strong Python programming skills and experience with Git
experience deploying machine learning models or backend code in production is a plus
Solid understanding of common machine learning techniques such as convolutional neural networks, transfer learning and object detection, and hands-on experience with frameworks such as PyTorch, TensorFlow or scikit-learn
Fluency in written and spoken English, and a proactive communication style in a cross-functional team environment

Job Responsibility

Help build a cutting-edge machine learning product and see your models deployed on Voi vehicles across multiple markets
Build an ML solution end-to-end, from dataset creation and PoC model development to edge ML optimisation, deployment and impact measurement
Support production-grade models with a focus on reliability, scalability, and high performance
Collaborate with a world-class, cross-functional product team, aligning on priorities and outcomes while learning from and supporting your teammates

What we offer

Get 'skin in the game' through our employee options programme
Enjoy unlimited free Voi rides and a dog-friendly office
Work together with inspiring, motivated and fun colleagues towards a common goal
Join the micromobility revolution and be a part of creating sustainable cities made for living, free from noise and pollution

Machine Learning Engineer II - Av Foundation, Av Labs

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’...

Location

United States , Sunnyvale

Salary:

171000.00 - 190000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

PhD or MS with equivalent industry experience in Computer Science, Robotics, or a related field
Relevant experience in the field of autonomous vehicles or computer vision, with a strong understanding of how research ideas connect to autonomous vehicles
Demonstrated technical contributions, including publications at leading ML and CV conferences such as CVPR, ICCV, ICLR, NeurIPS, or similar venues
Proficiency in Python and modern deep learning frameworks such as PyTorch or TensorFlow
Strong communication skills and the ability to collaborate effectively with researchers and engineers across teams

Job Responsibility

Design and develop cutting-edge techniques for autonomous vehicle research
Collaborate closely with engineering teams and product teams across AV Labs
Publish and present original research at top-tier CV and ML conferences

What we offer

Bonus program
Equity award
401(k) plan
Various benefits (see link for details)

Fulltime

Select Country

Robotics and Machine Learning Engineer

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?