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Tensorflow Pytorch Jobs in Waltham, MA (NOW HIRING)

Winaxis

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

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

Winaxis

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 ...

FortifyIQ

Data & AI Engineer (Remote)

Salem, MA · Remote

$125K - $150K/yr

Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). * Strong skills in data manipulation (Pandas, NumPy, SQL). * Experience with workflow orchestration (Airflow, Spark, or ...

Lutron Electronics Co., Inc

Data Scientist

Boston, MA

$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 ...

Whoop

Senior Signal Processing Engineer

Boston, MA · On-site

$150K - $215K/yr

At least 4 years of experience with ML libraries such as scikit-learn, Tensorflow, PyTorch or Keras; At least 4 years of experience with statistical method and design of clinical studies; At least 4 ...

Whoop

Senior Signal Processing Engineer

Boston, MA · On-site

$150K - $215K/yr

At least 4 years of experience with ML libraries such as scikit-learn, Tensorflow, PyTorch or Keras; At least 4 years of experience with statistical method and design of clinical studies; At least 4 ...

Whoop

Senior Signal Processing Engineer

Boston, MA · On-site

$150K - $215K/yr

At least 4 years of experience with ML libraries such as scikit-learn, Tensorflow, PyTorch or Keras; At least 4 years of experience with statistical method and design of clinical studies; At least 4 ...

Lutron Electronics

Data Scientist

Boston, MA · On-site

... TensorFlow, PyTorch, or similar Preferred : • Experience deploying models into production environments • Exposure to cloud services from AWS, Azure, or similar providers • Experience working ...

Whoop

Senior Signal Processing Engineer

Boston, MA · On-site

$150K - $215K/yr

At least 4 years of experience with ML libraries such as scikit-learn, Tensorflow, PyTorch or Keras; At least 4 years of experience with statistical method and design of clinical studies; At least 4 ...

Ikigai Labs

Machine Learning Engineer

Cambridge, MA · On-site

$125K - $150K/yr

Frameworks: PyTorch, TensorFlow, Docker * Databases: Postgres, Elasticsearch, DynamoDB, RDS * Cloud: Kubernetes, Helm, EKS, Terraform, AWS * Data Engineering: Apache Arrow, Dremio, Ray

Ikigai Labs

Machine Learning Engineer

Cambridge, MA · On-site

$135K - $200K/yr

Frameworks: PyTorch, TensorFlow, Docker * Databases: Postgres, Elasticsearch, DynamoDB, RDS * Cloud: Kubernetes, Helm, EKS, Terraform, AWS * Data Engineering: Apache Arrow, Dremio, Ray

Ikigai

Machine Learning Engineer

Cambridge, MA · On-site

... TensorFlow, PyTorch, Theano, DyLib). • Proficiency in Python, AWS services, and ETL/ELT pipelines. • Understanding of key software design principles, design patterns, and testing best practices ...

AgileEngine

Data Scientist ID71658

Boston, MA · On-site +1

... TensorFlow , PyTorch ) and data visualization tools; - Prior commercial experience applying data science specifically to cybersecurity , vulnerability management , or financial risk models ; - Upper ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). * Strong understanding of various machine learning algorithms,Large Language Models, and deep ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). * Strong understanding of various machine learning algorithms,Large Language Models, and deep ...

C the Signs

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). * Strong understanding of various machine learning algorithms,Large Language Models, and deep ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Waltham, MA

Tensorflow Pytorch information

See Waltham, MA salary details

$40.5K

$132.4K

$212K

How much do tensorflow pytorch jobs pay per year?

As of Jun 30, 2026, the average yearly pay for tensorflow pytorch in Waltham, MA is $132,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $146,700.00 per year, depending on experience, location, and employer.

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 job categories do people searching Tensorflow Pytorch jobs in Waltham, MA look for? The top searched job categories for Tensorflow Pytorch jobs in Waltham, MA are:
Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Waltham, MA as of June 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $132,417 per year, or $63.7 per hour.

AI/ML Engineer

Winaxis

Boston, MA • On-site

$35 - $45/hr

Full-time

Posted 27 days ago

Key responsibilities

  • Design, develop, train, and optimize Machine Learning and Deep Learning models.

  • Build and maintain scalable data pipelines for model training and inference.

  • Deploy machine learning models into production environments using MLOps best practices.

Job description

About the Role

We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies.

Key Responsibilities
  • Design, develop, train, and optimize Machine Learning and Deep Learning models.
  • Build and maintain scalable data pipelines for model training and inference.
  • Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques.
  • Deploy machine learning models into production environments using MLOps best practices.
  • Work with large datasets and perform data preprocessing, feature engineering, and model evaluation.
  • Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions.
  • Monitor model performance and implement continuous improvements.
  • Research and evaluate emerging AI technologies, frameworks, and industry trends.
  • Develop APIs and microservices for AI model integration.
  • Ensure data security, model governance, and compliance standards are maintained.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field.
  • Strong programming skills in Python.
  • Experience with Machine Learning libraries such as:
    • TensorFlow
    • PyTorch
    • Scikit-learn
    • XGBoost
  • Strong understanding of:
    • Supervised and Unsupervised Learning
    • Deep Learning
    • Neural Networks
    • Natural Language Processing (NLP)
    • Computer Vision
    • Reinforcement Learning (preferred)
  • Experience with SQL and NoSQL databases.
  • Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow.
  • Experience working with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with version control systems like Git.
Preferred Qualifications
  • Experience with Generative AI technologies and Large Language Models (LLMs).
  • Hands-on experience with:
    • LangChain
    • LlamaIndex
    • Hugging Face
    • OpenAI APIs
    • Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)
  • Experience in RAG (Retrieval-Augmented Generation) implementations.
  • Knowledge of MLOps tools and CI/CD pipelines.
  • Experience with Databricks and Apache Spark.
Technical Skills
  • Python
  • SQL
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • Apache Spark
  • MLflow
  • Docker
  • Kubernetes
  • AWS/Azure/GCP
  • Git
  • REST APIs
  • Generative AI & LLMs
Soft Skills
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Ability to work independently and in a team environment.
  • Strong attention to detail and commitment to quality.
Nice to Have
  • AI Agent Development
  • Multi-Agent Systems
  • Prompt Engineering
  • Fine-tuning LLMs
  • Knowledge Graphs
  • MLOps Certification
  • Cloud Certifications (AWS, Azure, GCP)