1

Pytorch Jobs in Maryland (NOW HIRING)

... PyTorch, TensorFlow , etc) - Experience with other ML pipelines/frameworks like KubeFlow , NeMo , PyTorch Lightning - Experience with metrics and monitoring tools such as Prometheus and Grafana ...

Machine learning experience a plus, including knowledge of PyTorch, Rust or equivalent. Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this ...

Pytorch, TensorFlow. Optional Skills: Expert knowledge of multiple programming languages, e.g. Python, Java, C, R. Consistent with federal and state law where SageCor conducts business, SageCor ...

Showing results 21-40

Pytorch information

See Maryland salary details

$80.2K

$143.8K

$206.3K

How much do pytorch jobs pay per year?

As of Aug 8, 2026, the average yearly pay for pytorch in Maryland is $143,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,665.00 and $175,926.00 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 Maryland? The most popular types of Pytorch jobs in Maryland are:
What are popular job titles related to Pytorch jobs in Maryland? For Pytorch jobs in Maryland, the most frequently searched job titles are:
Infographic showing various Pytorch job openings in Maryland as of August 2026, with employment types broken down into 18% Internship, and 82% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $143,850 per year, or $69.2 per hour.

AI ML with Security Clearance

MasterPeace Solutions, Ltd.

Columbia, MD • On-site

$57.75 - $77.25/hr

Other

Re-posted 7 days ago


Job description

Seeking a motivated AI/ML Engineer to support the exciting Corporate Discovery Services mission. The AI/ML Engineer will act as the critical bridge between data science and software engineering mission capturing requirements from stakeholders to deliver robust, scalable, and functional innovative prototypes and deploy solutions. Job Responsibilities/Qualifications: Mission Focus: Use Machine Learning Operations (MLOps) set of practices to automate and standardize the lifecycle of machine learning models, from development and training to deployment and monitoring, borrowing principles from DevOps to ensure reliable, efficient, and scalable ML systems in production. Create Machine Learning, Generative AI Large Language Models (LLM), Retrieval Augmented Generation (RAG), and Agentic AI AI/ML pipelines. Technical Proficiency: Proficiency in Python with TensorFlow, PyTorch, Scikit-learn, Keras, PySpark, vLLM, and NVIDIA CUDA (Compute Unified Device Architecture) libraries. Strong grasp of version control (GitLab), Continuous Integration/Continuous Deployment (GitLab CI/CD), and containerization (Docker, Kubernetes). Required Qualifications: Bachelor's degree plus 11-years of relevant experience or equivalent. Desirable Skills: MLOps
AWS SageMaker
AWS Bedrock
Gambit
Hub
Jira
Confluence
Docker Hub