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Pytorch Jobs in Boston, MA (NOW HIRING)

Strong programming skills in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or equivalent. * Experience designing and evaluating experiments, analyzing results ...

Data Scientist

Boston, MA ยท On-site

$120K - $135K/yr

Experience using ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar Desired Qualifications * Experience deploying models into production environments * Exposure to cloud services from ...

Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems, or custom GNN runtimes. * Advanced Anomaly Detection with Graph: Track record developing hybrid ...

Familiarity with tools such as OpenCV, PyTorch, TensorFlow, and CUDA. * Experience with data engineering practices and management of large datasets. * Experience preparing technical deliverables such ...

Senior AI Engineer

Concord, MA ยท On-site

$114K - $157K/yr

... PyTorch. Location: Belfast, NI (Hybrid) or Remote UK Responsibilities * Design and build production-ready AI/ML systems, with an emphasis on Standard Model LLM-powered product and platform features.

Showing results 41-60

Pytorch information

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What are the key skills and qualifications needed to thrive in the PyTorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

Infographic showing various Pytorch job openings in Boston, MA as of September 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution.

Lead Robotics Perception Engineer

Boston, MA โ€ข On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Servicesย โ€ขย 1 - 5K employees

$111K - $146K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Key responsibilities

  • Lead the architecture and development of production robotic perception systems.

  • Guide engineers through the full software development lifecycle from concept through deployment.

  • Perform hands-on debugging of hardware and software integration issues in laboratory and field environments.


Job description

Join a venture-backed robotics company that is transforming an industrial process through advanced automation, artificial intelligence, and computer vision. Backed by experienced founders and industry-leading investors, this organization has moved beyond the prototype stage and is deploying cutting-edge robotic systems into real-world production environments.
This is an opportunity to lead the development of next-generation robotic perception systems, combining classical computer vision, machine learning, and sensor fusion to solve complex automation challenges. You'll work alongside world-class robotics engineers developing products that bridge AI with physical systems in demanding industrial environments.
The Opportunity
We're seeking a Lead Perception Engineer to provide both technical leadership and hands-on development for a growing perception team. This individual will own the architecture, development, and deployment of production-ready perception systems while mentoring engineers and driving technical direction across the organization's AI and robotics initiatives.
This role is ideal for someone who enjoys solving difficult real-world robotics problems-not just developing algorithms, but deploying solutions onto production hardware and continuously improving performance in the field.
Required Skills & Experience
  • 8+ years of software engineering experience focused on robotics, computer vision, autonomous systems, or machine learning
  • 2+ years leading technical teams or serving as a Tech Lead or Engineering Lead
  • Expert programming experience with Python and C++; Rust experience is a plus
  • Strong experience developing production computer vision systems
  • Deep understanding of robotic perception pipelines and sensor calibration
  • Experience building and deploying machine learning models into production environments
  • Hands-on experience with PyTorch, OpenCV, CUDA, PCL, Open3D, or similar frameworks
  • Experience integrating LiDAR, stereo vision, Time-of-Flight cameras, RGB-D sensors, and other perception technologies
  • Strong understanding of robotics fundamentals including coordinate transforms, localization, calibration, and sensor fusion
  • Experience debugging complex hardware/software interactions in real-world robotic systems
Desired Skills & Experience
  • MS or PhD in Computer Science, Robotics, Computer Vision, Machine Learning, or related discipline
  • Experience working with ROS2 or comparable robotics middleware
  • Experience deploying AI models on embedded hardware
  • CUDA optimization and GPU acceleration experience
  • Experience with high-throughput, real-time vision systems
  • Familiarity with industrial robotics or warehouse automation
  • Experience mentoring engineers and conducting architectural reviews
  • Strong communication skills with the ability to collaborate across hardware and software teams
What You Will Be Doing
  • Lead the architecture and development of production robotic perception systems
  • Guide engineers through the full software development lifecycle from concept through deployment
  • Design perception pipelines utilizing classical computer vision and deep learning
  • Evaluate and select sensors including LiDAR, stereo cameras, RGB-D cameras, and Time-of-Flight technologies
  • Develop AI and machine learning models for object detection, segmentation, tracking, and classification
  • Improve system accuracy through sensor fusion, calibration, and optimization
  • Design scalable, low-latency perception architectures for real-time robotics applications
  • Perform hands-on debugging of hardware and software integration issues in laboratory and field environments
  • Conduct code reviews, mentor engineers, and establish engineering best practices
  • Partner closely with robotics, controls, software, mechanical, and systems engineering teams to deliver integrated autonomous solutions
Tech Breakdown
  • 35% Computer Vision & AI (PyTorch, OpenCV, CUDA)
  • 25% Robotics Perception & Sensor Fusion
  • 20% Software Engineering (Python, C++, Rust)
  • 10% Hardware Integration & Sensor Selection
  • 10% Technical Leadership & Architecture
Daily Responsibilities
  • 50% Hands-On Software Development
  • 25% Technical Leadership & Mentoring
  • 15% Cross-Functional Collaboration
  • 10% System Testing, Validation & Field Debugging
The Offer
  • Competitive base salary + potential bonus and equity
  • Comprehensive medical, dental, and vision insurance
  • 401(k)
  • Generous PTO and paid holidays
  • Opportunity to build cutting-edge AI-powered robotics deployed in real-world environments
  • Highly collaborative engineering culture with significant technical ownership
  • Career growth within a rapidly scaling, venture-backed robotics company

Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship is not available for this position.
Join a venture-backed robotics company that is transforming an industrial process through advanced automation, artificial intelligence, and computer vision. Backed by experienced founders and industry-leading investors, this organization has moved beyond the prototype stage and is deploying cutting-edge robotic systems into real-world production environments.
This is an opportunity to lead the development of next-generation robotic perception systems, combining classical computer vision, machine learning, and sensor fusion to solve complex automation challenges. You'll work alongside world-class robotics engineers developing products that bridge AI with physical systems in demanding industrial environments.
The Opportunity
We're seeking a Lead Perception Engineer to provide both technical leadership and hands-on development for a growing perception team. This individual will own the architecture, development, and deployment of production-ready perception systems while mentoring engineers and driving technical direction across the organization's AI and robotics initiatives.
This role is ideal for someone who enjoys solving difficult real-world robotics problems-not just developing algorithms, but deploying solutions onto production hardware and continuously improving performance in the field.
Required Skills & Experience
  • 8+ years of software engineering experience focused on robotics, computer vision, autonomous systems, or machine learning
  • 2+ years leading technical teams or serving as a Tech Lead or Engineering Lead
  • Expert programming experience with Python and C++; Rust experience is a plus
  • Strong experience developing production computer vision systems
  • Deep understanding of robotic perception pipelines and sensor calibration
  • Experience building and deploying machine learning models into production environments
  • Hands-on experience with PyTorch, OpenCV, CUDA, PCL, Open3D, or similar frameworks
  • Experience integrating LiDAR, stereo vision, Time-of-Flight cameras, RGB-D sensors, and other perception technologies
  • Strong understanding of robotics fundamentals including coordinate transforms, localization, calibration, and sensor fusion
  • Experience debugging complex hardware/software interactions in real-world robotic systems
Desired Skills & Experience
  • MS or PhD in Computer Science, Robotics, Computer Vision, Machine Learning, or related discipline
  • Experience working with ROS2 or comparable robotics middleware
  • Experience deploying AI models on embedded hardware
  • CUDA optimization and GPU acceleration experience
  • Experience with high-throughput, real-time vision systems
  • Familiarity with industrial robotics or warehouse automation
  • Experience mentoring engineers and conducting architectural reviews
  • Strong communication skills with the ability to collaborate across hardware and software teams
What You Will Be Doing
  • Lead the architecture and development of production robotic perception systems
  • Guide engineers through the full software development lifecycle from concept through deployment
  • Design perception pipelines utilizing classical computer vision and deep learning
  • Evaluate and select sensors including LiDAR, stereo cameras, RGB-D cameras, and Time-of-Flight technologies
  • Develop AI and machine learning models for object detection, segmentation, tracking, and classification
  • Improve system accuracy through sensor fusion, calibration, and optimization
  • Design scalable, low-latency perception architectures for real-time robotics applications
  • Perform hands-on debugging of hardware and software integration issues in laboratory and field environments
  • Conduct code reviews, mentor engineers, and establish engineering best practices
  • Partner closely with robotics, controls, software, mechanical, and systems engineering teams to deliver integrated autonomous solutions
Tech Breakdown
  • 35% Computer Vision & AI (PyTorch, OpenCV, CUDA)
  • 25% Robotics Perception & Sensor Fusion
  • 20% Software Engineering (Python, C++, Rust)
  • 10% Hardware Integration & Sensor Selection
  • 10% Technical Leadership & Architecture
Daily Responsibilities
  • 50% Hands-On Software Development
  • 25% Technical Leadership & Mentoring
  • 15% Cross-Functional Collaboration
  • 10% System Testing, Validation & Field Debugging
The Offer
  • Competitive base salary + potential bonus and equity
  • Comprehensive medical, dental, and vision insurance
  • 401(k)
  • Generous PTO and paid holidays
  • Opportunity to build cutting-edge AI-powered robotics deployed in real-world environments
  • Highly collaborative engineering culture with significant technical ownership
  • Career growth within a rapidly scaling, venture-backed robotics company

Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship is not available for this position.