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Remote Deep Learning Engineer Jobs in Washington

Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data ... Hybrid/Remote. Candidates must be located in the DMV area (DC, Maryland, Virginia) and able to ...

Machine Learning Tutor

College Park, MD ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Laurel, MD ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Rockville, MD ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Bowie, MD ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Washington, DC ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Alexandria, VA ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Showing results 21-40

Remote Deep Learning Engineer information

See Washington salary details

$12.5K

$95K

$158.6K

How much do remote deep learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote deep learning engineer in Washington is $95,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $157,400.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What are the key skills and qualifications needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do remote deep learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What cities in Washington are hiring for Remote Deep Learning Engineer jobs?

Cities in Washington with the most Remote Deep Learning Engineer job openings:

Applied AI/ML Engineer

Oddball

Washington, DC โ€ข On-site, Remote

Full-time

Retirement, PTO

Posted 8 days ago


Job description

Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.ย 

We're looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. This role focuses on applying modern ML and GenAI techniques in production systems - from experimentation and prototyping through deployment, evaluation, and iteration. You'll work closely with engineers, designers, and product stakeholders to turn ambiguous problems into scalable, reliable AI-driven capabilities.

This is a hands-on engineering role for someone who enjoys shipping, learning quickly, and balancing technical rigor with real-world constraints.

What you'll be doing:

  • Design, develop, and deploy machine learning and AI-powered features into production systems
  • Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data
  • Build and evaluate models for tasks such as classification, ranking, prediction, NLP, or anomaly detection
  • Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation, agents)
  • Translate business and user needs into ML problem statements, metrics, and experiments
  • Implement data pipelines and feature engineering workflows to support model training and inference
  • Evaluate model performance, bias, drift, and reliability; iterate based on results
  • Collaborate with software engineers to integrate models into APIs, services, and user-facing applications
  • Contribute to architecture decisions around model serving, scalability, and cost optimization
  • Document approaches, assumptions, and tradeoffs to support maintainability and knowledge sharing

What you'll bring:

  • Strong foundation in machine learning concepts, including model selection, training, validation, and evaluation
  • Experience building and deploying ML models in real-world applications
  • Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
  • Experience working with large language models, embeddings, and prompt-driven systems
  • Familiarity with data processing tools and workflows (e.g., Pandas, SQL, Spark, or similar)
  • Understanding of software engineering best practices (version control, testing, code reviews)
  • Ability to reason about tradeoffs between accuracy, latency, cost, and maintainability
  • Strong communication skills and comfort working in cross-functional teams
  • Performs other related duties as assigned

Bonus if you have:

  • Experience working in innovation, R&D, labs, or exploratory engineering teams
  • Experience deploying models to cloud platforms and managing inference at scale
  • Familiarity with MLOps practices such as model monitoring, CI/CD for ML, and experiment tracking
  • Experience contributing to architectural discussions or technical strategy

Location: Hybrid/Remote. Candidates must be located in the DMV area (DC, Maryland, Virginia) and able to participate with in-office collaboration.

Requirements:

  • Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance.

Benefits:

  • Fully remote
  • Annual stipend
  • Comprehensive Benefits Package
  • Company Match 401(k) plan
  • Flexible PTO, Paid Holidays

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities:

Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hr@oddball.ioย 

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Compensation:

At Oddball, it's important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.

United States Wage Range: $150,000 - $200,000