ZipRecruiter

Log In

1

Pytorch Developer Jobs in Ashburn, VA (NOW HIRING)

Parsons

Senior Software Developer - TS/SCI

Chantilly, VA · On-site

$55.75 - $73.75/hr

Software Developer position at our Chantilly, VA location. This will lead teams in the design ... Machine learning framework experience (PyTorch, Tensorflow) * Docker/containerization experience

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

Proficiency with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit ... engineering, intelligence, and enterprise information technology markets. SAIC is Redefining ...

NT Concepts

Python Developer

Herndon, VA · On-site +1

$51.75 - $71.25/hr

We are seeking a Software Developer to join our team. Working at NT Concepts means that you are ... Integrate and deploy PyTorch models into production systems * Collaborate with Software Architect ...

QualX Corporation

AI Developer

Springfield, VA · On-site

Job Title AI Developer Location Springfield, VA 22150 US (Primary) Category Information Technology ... Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face, etc.

Steampunk

AI Developer

Mclean, VA

$145K - $185K/yr

The AI Developer / Product SME will work closely with engineering, product, UX, evaluation ... Deep expertise in modern AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers ...

Steampunk

AI Developer

Mclean, VA · On-site +1

$145K - $185K/yr

The AI Developer / Product SME will work closely with engineering, product, UX, evaluation ... Deep expertise in modern AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers ...

next page

Showing results 1-20

All JobsPytorch Developer JobsPytorch Developer Jobs in Ashburn, VA

Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What are popular job titles related to Pytorch Developer jobs in Ashburn, VA? For Pytorch Developer jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Ashburn, VA look for? The top searched job categories for Pytorch Developer jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for Pytorch Developer jobs? Cities near Ashburn, VA with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Machine Learning Developer

Machine Learning Developer

Science Applications International Corporation

Arlington, VA • Hybrid

Other

Posted 6 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

71st of 204 rated it services

Job description

SAIC is seeking a talented and experienced Machine Learning Developer to join our dynamic team.

This position is hybrid in Arlington, VA with 2-3 days per week onsite at the Pentagon or the Mark Center.

The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production.

Key Responsibilities:

  • Develop and implement machine learning models and algorithms to provide suggested values to readiness reports for our DOD client.
  • Refine data collection processes and improve data quality.
  • Design and develop scalable machine learning solutions for various applications.
  • Work with software developers to integrate machine learning models into production systems.
  • Conduct research to identify new approaches and methods for machine learning and AI.
  • Stay updated with the latest trends and advancements in machine learning and AI.
  • Document processes, codes, and workflows for future reference and reproducibility.
  • Provide support and maintenance for deployed machine learning systems. 
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Education:

  • Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and zero (0) years related experience; four (4) years of experience considered in lieu of degree.

Qualifications:

  • Proven experience designing, developing, and deploying OpenAI solutions as a Machine Learning Developer or in a similar role.
  • Strong programming skills in Python, R, C#, Java or similar languages.
  • Experience with deep learning techniques and models.
  • Expertise in natural language processing (NLP) or computer vision.
  • Proficiency with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.
  • Experience with data preprocessing, data mining, and data visualization techniques.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Familiarity with software development best practices and source control (e.g., Git).

Clearance:

  • Active Secret clearance is required for this position.

What SAIC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply