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Tensorflow Pytorch Jobs in Washington, DC (NOW HIRING)

Core Interface

Data Scientist

Chantilly, VA · On-site

Proficiency in Python , R , or Scala and strong knowledge of data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy). * Experience with cloud platforms (AWS, Azure, or GCP ...

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

The development of frameworks for creating and integrating machine learning models such as TensorFlow, Pytorch, Jupyter Notebook and or Apache Hadoop * The development and use of Visualizatin Tools ...

Mind Ware Inc

AI/ML Engineer

Reston, VA · On-site

Experience with TensorFlow , PyTorch , or Scikit-learn . * Strong knowledge of vector databases such as Pinecone , FAISS , or ChromaDB . * Experience with cloud platforms ( AWS preferred , Azure or ...

Halvik

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 ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site

$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 ...

Altus Consulting Corp

Data Scientist

Herndon, VA · On-site

Experience with machine learning algorithms and libraries (Scikit-learn, TensorFlow, PyTorch). * Experience with data visualization tools (Tableau, Power BI). * Excellent communication and ...

CTIS, Inc.

AI/ML Solution Engineer

Rockville, MD · On-site

$140K - $180K/yr

Experience with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch). * Strong analytical and problem-solving abilities. * Excellent communication skills and teamwork capabilities. * Experience ...

Altus Consulting Corp

Data Scientist

Herndon, VA

Experience with machine learning algorithms and libraries (Scikit-learn, TensorFlow, PyTorch). * Experience with data visualization tools (Tableau, Power BI). * Excellent communication and ...

CTIS, Inc.

AI/ML Solution Engineer

Rockville, MD · On-site

$140K - $180K/yr

Experience with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch). * Strong analytical and problem-solving abilities. * Excellent communication skills and teamwork capabilities. * Experience ...

Spatial Front, Inc

Data Scientist

Arlington, VA · On-site

... learn, TensorFlow, PyTorch, or R. • Experience with cloud-based ML platforms Company : SFI effectively delivers the right Information Technology solutions and Business Support services using ...

Spatial Front, Inc

Data Scientist

Arlington, VA · On-site

... learn, TensorFlow, PyTorch, or R. • Experience with cloud-based ML platforms. Company : SFI effectively delivers the right Information Technology solutions and Business Support services using ...

Gritter Francona

Lead Data Scientist

Washington, DC

Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data visualization tools (e.g., Power BI, Tableau) and ETL processes; * Proven experience integrating clinical ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Washington, DC

Tensorflow Pytorch information

See Washington, DC salary details

$42.5K

$139K

$222.6K

How much do tensorflow pytorch jobs pay per year?

As of Aug 6, 2026, the average yearly pay for tensorflow pytorch in Washington, DC is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 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?

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 Washington, DC? For Tensorflow Pytorch jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Washington, DC look for? The top searched job categories for Tensorflow Pytorch jobs in Washington, DC are:
Tensorflow Pytorch jobs near you

Data Scientist

Core Interface

Chantilly, VA • On-site

Full-time

Re-posted 2 days ago

Job description

Overview
The Senior Data Scientist leads the design, development, and implementation of data-driven solutions that support strategic decision-making and mission objectives. This role works closely with stakeholders, engineers, and analysts to translate complex data into actionable insights, leveraging advanced statistical, machine learning, and cloud-based analytical techniques.
Key Responsibilities
  • Lead the end-to-end lifecycle of data science projects - from data collection and exploration to model development, evaluation, and deployment.
  • Design and implement predictive models, NLP solutions, and advanced analytics to solve business and operational problems.
  • Work with large, complex datasets from multiple sources, ensuring data quality, consistency, and security.
  • Collaborate with engineering teams to integrate data science solutions into production systems (cloud or on-prem).
  • Mentor junior data scientists and analysts, providing technical guidance and peer reviews.
  • Present findings and visualizations to technical and non-technical audiences.
  • Stay current with emerging technologies, frameworks, and research in AI/ML and data science.

Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred).
  • 5+ years of hands-on experience applying machine learning and statistical modeling to real-world problems.
  • Proficiency in Python, R, or Scala and strong knowledge of data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
  • Experience with cloud platforms (AWS, Azure, or GCP) and data tools (Spark, Databricks, Airflow).
  • Strong knowledge of SQL and experience with relational and NoSQL databases.
  • Ability to communicate technical concepts clearly and effectively to diverse audiences.
  • Active security clearance or eligibility to obtain one (for government contracts) preferred.

Core Interface Culture
At Core Interface, we combine technical excellence with a culture that values balance, innovation, and collaboration. Our teams work on mission-critical federal programs in data analytics, cybersecurity, and application development - where your work truly matters.

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