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Pytorch Jobs in Ashburn, VA (NOW HIRING)

Noblis

AI/ML Engineer (Clearance Required)

Reston, VA · On-site

Design, develop, and containerize machine learning (ML) models using modern frameworks and tools, including PyTorch, Ray, Docker, and FastAPI. * Deploy, manage, and scale production ML workloads on ...

Noblis

AI/ML Engineer (Clearance Required)

Reston, VA · On-site

Design, develop, and containerize machine learning (ML) models using modern frameworks and tools, including PyTorch, Ray, Docker, and FastAPI. * Deploy, manage, and scale production ML workloads on ...

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

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 ...

BTree Solutions, Inc.

AI ENGINEER

Reston, VA · On-site

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 ...

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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 the most commonly searched types of Pytorch jobs in Ashburn, VA?

The most popular types of Pytorch jobs in Ashburn, VA are:

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For Pytorch jobs in Ashburn, VA, the most frequently searched job titles are:

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The top searched job categories for Pytorch jobs in Ashburn, VA are:

Pytorch jobs near you
Infographic showing various Pytorch job openings in Ashburn, VA as of August 2026, with employment types broken down into 2% Internship, 90% Full Time, 5% Part Time, and 3% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution.

Senior Machine Learning Engineer - Mission Innovation Lab

Software Engineering Institute | Carnegie Mellon University

Arlington, VA • On-site

$120K - $165K/yr

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Carnegie Mellon University's Software Engineering Institute is seeking a Senior Machine Learning Engineer for their Mission Innovation Lab. The role involves leading applied-research projects to develop mission-scale AI capabilities for defense-focused missions, while collaborating with researchers and mentoring junior team members.
Responsibilities:
• Design, implement, and evaluate state‑of‑the‑art ML models (computer‑vision, NLP, planning, etc.) using frameworks such as TensorFlow, PyTorch, Torch, or Caffe.
• Build and maintain robust data pipelines, ETL processes, and backend services in Python, C/C++, and Java.
• Lead rapid‑prototyping efforts, translate research results into operational prototypes, and test for performance, robustness, and security.
• Define and refine DevSecOps practices for ML (model registries, containerized deployment, continuous integration/continuous delivery, security scanning).
• Mentor junior team members, collaborate with researchers, government customers, and other engineers, and contribute to technical strategy for the lab.
Qualifications:
Required:
• B.S. in Computer Science, Electrical Engineering, Statistics, or related field with ≥10 years of experience; OR M.S. with ≥8 years; OR Ph.D. with ≥5 years of relevant experience.
• Ability to obtain and maintain an active Department of War security clearance.
• You must be able and willing to work onsite 5 days per week at an SEI office in either Pittsburgh, PA or Arlington, VA.
• Strong experience in one or more programming language such as Python, C/C++, and Java; comfortable developing production-grade code and APIs.
• Solid understanding of ML theory, statistical learning, and common algorithms.
• Hands-on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep-learning libraries.
• Familiarity with CI/CD pipelines, container orchestration (Docker/Kubernetes), model versioning, and security-focused tooling.
Preferred:
• Proven track record of independent applied-research projects that resulted in demonstrable prototypes or operational capabilities.
• Publications or open-source contributions in AI and ML, especially in adversarial or robust ML.
• Experience working on defense or other high-impact government programs.
• Ability to quickly learn emerging AI and ML technologies and translate them into mission-relevant solutions.
Company:
We conduct cutting-edge research and development that accelerates the transition of technology to the Department of War (DoW), delivering measurable impact in support of the national security mission. Founded in 1984, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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