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Pytorch Jobs in Boston, MA (NOW HIRING)

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

PyTorch * Scikit-learn * XGBoost * Strong understanding of: * Supervised and Unsupervised Learning * Deep Learning * Neural Networks * Natural Language Processing (NLP) * Computer Vision

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

Senior MLOps Engineer

Ipswich, MA · On-site

$120 - $180/hr

Strong proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. * Hands-on experience with AWS services (SageMaker, Step Functions, Lambda, ECR, S3, Glue ...

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 ...

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 ...

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 ...

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Showing results 1-20

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:

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

Research Software Developer - Python / PyTorch

StaffRight Associates, LLC

Boston, MA • On-site

$250K - $600K/yr

Other

Posted 10 days ago


Job description

***While this position is posted in the Boston market to maximize regional outreach and exposure, the role is physically located in New York City. The successful candidate will be based in NYC to support local operations and team integration.

Practice Group: Computer Science / Scientific Infrastructure & Machine Learning

About the Role

Innovation in quantitative science, drug discovery, and high-performance computing requires more than data—it demands world-class infrastructure, sophisticated modeling, and flawless execution. StaffRight Associates is recruiting for an elite talent for a premier global quantitative research and technology firm in New York City.

We are seeking an exceptional Research Software Developer to join a highly collaborative, intellectually rigorous team where computational excellence is the standard. Software developers at all levels of experience—including entry-level—will develop, deploy, and support software tools and systems for scientific modeling, simulation, and analysis. This role is directly involved in building infrastructure for distributed/parallel training, leveraging LLMs, and applying advanced machine learning models to drive cutting-edge drug discovery efforts.

This is a high-impact position designed for a driven problem-solver who thrives at the intersection of complex architecture, advanced algorithms, and real-world scientific execution, working alongside a world-class team of chemists, biologists, machine learning engineers, and computer scientists.

Key Responsibilities
  • Architect & Build: Design, optimize, and maintain critical tools and infrastructure driving scientific data pipelines, LLM model training and deployment, and large-scale distributed systems.

  • Data & Research Execution: Translate complex datasets, chemical/ML data, and abstract technical challenges into clear, scalable, high-performance workflows and cheminformatics tools.

  • Systemic Optimization: Identify technical friction points, eliminate bottlenecks, install/troubleshoot software, and enhance operational velocity across GPU clusters and high-concurrency computing environments.

  • Cross-Functional Collaboration: Serve as a key technical interface, working directly with quantitative researchers, machine learning engineers, biologists, and computational chemists to improve end-user computing environments.

What You Bring
  • Academic Pedigree: Bachelors, Masters, or Ph.D. in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a related STEM discipline.

  • Technical Mastery: Strong command of Core Technical Concepts and tools, specifically:

    • Languages: Python, C++, Linux/UNIX Tools

    • ML/AI Frameworks: PyTorch, MLflow, vLLM, SGLang, Generative & Agentic AI

    • Infrastructure: GPU Clusters, Distributed/Parallel Training, Data Management Pipelines

  • Analytical Precision: Proven track record in scripting and automating scientific workflows, managing complex data, or solving multi-faceted problems in high-performance computing.

  • Agile Mindset: Intellectual curiosity, versatility, and a track record of achievement, balancing rigorous engineering standards with fast-paced execution.

Compensation & Benefits
  • Base Salary Range: $250,000 – $600,000 (Determined based on prior experience and educational background)

  • Additional Benefits: Variable compensation (sign-on and year-end bonuses), generous full benefit package, relocation assistance, and immigration support.

  • Work Arrangement: Hybrid model (In-office Tuesday–Thursday; optional remote Monday and Friday).

Why Apply Through StaffRight Associates?

At StaffRight Associates, we specialize in placing elite technical talent into industry-defining roles. Partnering with us gives you:

  • Direct Access: We get your profile directly in front of the hiring decision-makers, bypassing automated ATS filters.

  • Transparent Guidance: Comprehensive insight into the interview process, technical expectations, and firm culture.

  • Confidential Representation: Your background and candidacy are handled with total discretion at every step.