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Pytorch Jobs in Virginia (NOW HIRING)

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 ...

Senior AI Engineer

Falls Church, VA · On-site

$111K - $153K/yr

PyTorch, TensorFlow, SageMaker, Amazon Comprehend, or Elasticsearch, including experience deploying these capabilities into multi-enclave government or cloud environments. • Demonstrated experience ...

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 ...

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 ...

This requires coding in Python with PyTorch, implementing and maintaining development environments and supporting ML tools, such as Kubeflow and MLFlow. Additionally, you will contribute to the ...

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 ...

... including PyTorch or scikit-learn * Experience working with DevOps, including Docker or Kubernetes * Experience with a real-time, large-scale data processing engine, including Apache Spark

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Showing results 1-20

Pytorch information

See Virginia salary details

$78.3K

$140.4K

$201.3K

How much do pytorch jobs pay per year?

As of Jun 12, 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:

$125K - $160K/yr

Other

Posted 27 days ago


Job description

Overview

We are seeking a Data Scientist to design, build, and deliver predictive analytics, machine learning models, and data-driven insights that support mission and business outcomes. This role requires strong analytical and modeling skills, hands-on experience with ML frameworks, and the ability to collaborate across engineering, data, and product teams. The Data Scientist will contribute to the full lifecycle of model development, from data exploration and feature engineering to model training, evaluation, and deployment, while supporting the articulation of insights and recommendations to technical and non-technical stakeholders. 

Contributions
  • Conduct exploratory data analysis (EDA) to uncover trends, identify data quality issues, and determine modeling opportunities. 
  • Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries. 
  • Perform feature engineering, dataset preparation, and model optimization to improve predictive accuracy and operational performance. 
  • Evaluate models using appropriate statistical methods and performance metrics, documenting findings and informing iterative improvements. 
  • Work with Data Engineers to understand and enhance data pipelines, ensuring model-ready datasets are accurate, complete, and consistent. 
  • Collaborate with AI Developers and LLMOps/MLOps Engineers to integrate ML models into production environments or decision-support applications. 
  • Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate insights clearly to stakeholders. 
  • Support human-centered design processes by translating user needs into modeling requirements and refining model outputs based on feedback. 
  • Contribute to reproducibility and auditability by maintaining well-organized code, notebooks, documentation, and experiment histories. 
  • Stay current with modern data science methodologies, ML techniques, data processing tools, and cloud-enabled analytics workflows. 
  • You will contribute to the growth of our AI & Data Exploitation Practice! 
Qualifications
  • Ability to hold a position of public trust with the U.S. government. 
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related field. 
  • 6+ years of experience building and evaluating machine learning models or performing advanced analytics. 
  • Proficiency in Python and core data science libraries (Pandas, NumPy, scikit-learn, Matplotlib/Seaborn). 
  • Hands-on experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, XGBoost). 
  • Experience writing efficient SQL queries and working with structured or semi-structured data in cloud or database environments. 
  • Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks. 
  • Strong understanding of statistics, probability, experimental design, and model validation techniques. 
  • Ability to communicate technical concepts clearly to stakeholders and collaborate across multidisciplinary teams. 
  • Experience with dashboarding tools (Tableau, Power BI) or Python visualization libraries is a plus. 
  • Curiosity and adaptability, with a drive to stay current in rapidly evolving data and ML practices. 
  • Relevant certifications (helpful but not required): Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer. 
About steampunk

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors.  Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.  As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.

Employment Type: OTHER