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Pytorch Jobs in Boston, MA (NOW HIRING)

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and ...

Info Way Solutions

Python with AI

Boston, MA · On-site

Work with frameworks such as LangChain, LangGraph, LlamaIndex, Hugging Face, PyTorch, and TensorFlow . * Design and implement vector search solutions using technologies such as Pinecone, FAISS ...

New

IBM

IBM Research Intern 2027: AI Systems

Cambridge, MA · On-site

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

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Experience with distributed training (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate). * Experience with GPU/TPU optimization, memory management for large language models. * Experience ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Experience with distributed training (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate). * Experience with GPU/TPU optimization, memory management for large language models. * Experience ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

Experience with distributed training (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate). * Experience with GPU/TPU optimization, memory management for large language models. * Experience ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Experience with distributed training (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate). * Experience with GPU/TPU optimization, memory management for large language models. * Experience ...

Scorpion Therapeutics

Advisor - Agent Research

Boston, MA · On-site

$151K - $222K/yr

Python; deep learning frameworks (PyTorch/TensorFlow/JAX/HuggingFace). * RL and post-training methods (PPO/GRPO/DPO, reward modeling, RLHF/RLAIF) and libraries (e.g., TRL/verl). * Experience with ...

IBM

IBM Research Intern 2027 AI Systems

Cambridge, MA · On-site

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

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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.

What are popular job titles related to Pytorch jobs in Boston, MA?

For Pytorch jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Pytorch jobs in Boston, MA look for?

The top searched job categories for Pytorch jobs in Boston, MA are:

Pytorch jobs near you
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.

Machine Learning Systems Engineer

Boston, MA • On-site, Remote

Motional
Motor Vehicle Manufacturing • 501 - 1,000 employees
Learn more about Motionalexternal

$144K - $192K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 4 days ago

Job description

Mission Summary:
We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.
What you'll be doing:
  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:
  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range
$144,000-$192,000 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

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