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Pytorch Jobs in Virginia (NOW HIRING)

Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn. * Data Science and Analysis: Skills in data acquisition, cleaning, preprocessing, and feature engineering are ...

The ideal candidate will have a robust background in Python and PyTorch, experience with Flask, and a solid understanding of REST APIs. A background in statistics and a basic understanding of Natural ...

Sr Data & AI Engineer

Virginia Beach, VA · On-site +1

$101K - $121K/yr

Collaborate with data scientists to productionize ML models using frameworks such as TensorFlow, PyTorch, and Scikit-learn. * Develop and optimize SQL and Spark workloads on platforms such as ...

Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch. * Strong skills in programming languages such as Python, R, or Java, essential for ...

LLM, Deep Learning, Computer Vision, PyTorch, TensorFlow * Source code control systems: Git, Bitbucket * DevSecOps tools: Jenkins, Gitlab, GitOps * Operations: Strong skills in troubleshooting ...

Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). * Proficient with Databricks, MLflow, and PySpark. * Solid understanding of model ...

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). * Proficient with Databricks, MLflow, and PySpark. * Solid understanding of model ...

Data Scientist

Mclean, VA

$125K - $160K/yr

Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries. * Perform feature engineering, dataset preparation, and model optimization ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries. * Perform feature engineering, dataset preparation, and model optimization ...

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Pytorch information

See Virginia salary details

$78.3K

$140.4K

$201.3K

How much do pytorch jobs pay per year?

As of Jun 15, 2026, the average yearly pay for pytorch in Virginia is $140,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,170.00 and $171,651.00 per year, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Pytorch jobs in Virginia? The most popular types of Pytorch jobs in Virginia are:
What cities in Virginia are hiring for Pytorch jobs? Cities in Virginia with the most Pytorch job openings:

Sr. AI Platform Developer - Python & ML

1 point system

Herndon, VA • On-site

$124K - $168K/yr

Contractor

Posted 28 days ago


Job description

  • Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being highly valuable.
  • Machine Learning (ML) & Deep Learning (DL): You'll need a deep understanding of ML concepts (supervised, unsupervised, reinforcement learning) and neural network architectures like CNNs and RNNs.
  • AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn.
  • Data Science and Analysis: Skills in data acquisition, cleaning, preprocessing, and feature engineering are crucial, along with knowledge of SQL and NoSQL databases.
  • Big Data Technologies: Familiarity with platforms like Apache Spark and OpenSearch is often necessary for handling large-scale data.
  • Mathematics and Statistics: A strong foundation in linear algebra, calculus, probability, and statistics is fundamental.
  • Natural Language Processing (NLP): For language-based AI, expertise in NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers is key.
  • Cloud Computing and MLOps: Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps principles is vital for deploying and managing AI models.