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Tensorflow Pytorch Jobs in Massachusetts (NOW HIRING)

Lutron Electronics Co., Inc

Data Scientist

Boston, MA · On-site

$120K/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 ...

C10 Labs

$53K - $72K/yr

Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and others. Strong programming full stack skills in languages such as Python, R, or Java, with experience in implementing ...

C10 Labs

$100 - $150/hr

Familiarity with modern AI tooling and frameworks such as Python, APIs, LLMs, TensorFlow, PyTorch, LangChain, cloud platforms, or workflow automation systems * Strong problem-solving and analytical ...

C10 Labs

AI Fellow

Cambridge, MA · On-site

$53K - $72K/yr

Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and others. Strong programming full stack skills in languages such as Python, R, or Java, with experience in implementing ...

C10 Labs

Enterprise AI Venture Fellow

Cambridge, MA · On-site

$100 - $150/hr

Familiarity with modern AI tooling and frameworks such as Python, APIs, LLMs, TensorFlow, PyTorch, LangChain, cloud platforms, or workflow automation systems * Strong problem-solving and analytical ...

SoTalent

Research Scientist

Boston, MA · On-site

Use frameworks such as PyTorch, TensorFlow, or JAX Collaboration & Research Output * Work closely with applied scientists, engineers, and product teams * Publish research findings in top-tier ML ...

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Tensorflow Pytorch information

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.
What are popular job titles related to Tensorflow Pytorch jobs in Massachusetts? For Tensorflow Pytorch jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Massachusetts look for? The top searched job categories for Tensorflow Pytorch jobs in Massachusetts are:
What cities in Massachusetts are hiring for Tensorflow Pytorch jobs? Cities in Massachusetts with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Massachusetts as of June 2026, with employment types broken down into 84% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.
Graduate Intern - Deep Learning in Protein Design

Graduate Intern - Deep Learning in Protein Design

Manus Bio

Waltham, MA • On-site

Full-time, Internship

Posted 27 days ago

Job description

Graduate Intern for Deep Learning in Protein Design Boston, Massachusetts, United States, Full-Time
Position Summary
Manus works across industries and value chains to accelerate the transition to BioAlternatives - better performing and more sustainable versions of complex molecules traditionally sourced from plants, animals, or fossil fuels. Our platform is proven to work across scales, bridging the Valley of Death between lab and manufacturing more efficiently and more reliably to deliver the benefits of synthetic biology today.
We are seeking a Graduate Intern in Deep Learning for Protein Design to investigate key gaps in AI-guided protein engineering and explore novel approaches to address them. The ideal candidate has experience applying deep learning methods to biological problems, such as protein sequence design, structure prediction, or mutation effect modeling. This internship offers the opportunity to work at the intersection of machine learning and synthetic biology, contributing directly to scalable, real-world applications.
Why work at Manus:
  • Opportunity - For motivated, results-oriented team members, our growth creates opportunities for personal and professional advancement.
  • Accountability - You are given the resources you need to succeed and the freedom to make it happen; in return, we hold each other accountable for our high expectations.
  • Passion - We love what we do and enjoy working with others who feel the same way. We embrace the challenge and hard work that comes with working on the cutting edge.

Key Responsibilities:
  • Evaluating state-of-the-art deep learning models for mutation effect prediction and identify their limitations (eg. Epistasis, protein dynamics, etc)
  • Drive exploratory research into potential avenues to fill gaps in DL-based approaches
  • Communicate results and insights to multidisciplinary teams, including presentations and written reports

Required Qualifications
  • Currently enrolled in a Masters or PhD program in Computer Science or BioEngineering or similar programs with emphasis on AI applications in Biological systems
  • Demonstrated experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
  • Proficiency in programming languages such as Python and familiarity with AI-assisted coding tools (eg., Claude Code, Codex)
  • Excellent verbal and written communication skills

Preferred Qualifications
  • Familiarity with protein engineering (eg. Directed evolution, ML/AI-led)
  • Familiarity with protein language models and similar transformer-based models
  • Familiarity with benchmarking techniques and public datasets for protein sequence to function relationship
  • Experience in industrial biotechnology or a related industry

Preferred Working Style
  • Must be very well-organized and be able to handle multiple projects simultaneously.
  • Must be a quick learner who is self-motivated and able to ask questions and seek clarity.
  • Must be flexible with day-to-day duties and able to thrive in a start-up environment.
  • Must be an excellent team member with strong communication skills and a desire to work collaboratively.
  • Must hold themselves to the highest professional, scientific and ethical standards.

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