Software Engineer Subject Matter Expert / AI & Machine Learning Engineer Location: Chantilly ... Hybrid Work Environment Flexible work arrangements may include a combination of remote and onsite ...
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Software Engineer Subject Matter Expert / AI & Machine Learning Engineer Location: Chantilly ... Hybrid Work Environment Flexible work arrangements may include a combination of remote and onsite ...
... deep learning, NLP). Expert-Level Programming & Querying: Mastery of Python (including PyData stack: Pandas, NumPy, Scikit-Learn, SciPy) and advanced SQL (complex joins, window functions, analytical ...
... deep learning, NLP). Expert-Level Programming & Querying: Mastery of Python (including PyData stack: Pandas, NumPy, Scikit-Learn, SciPy) and advanced SQL (complex joins, window functions, analytical ...
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
New
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
New
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
New
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
New
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
Machine Learning Tutor
Leesburg, VA · 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
Leesburg, VA · 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
College Park, MD · 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
College Park, MD · 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 · 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 · 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 · 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 · 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
Fairfax, VA · 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
Fairfax, VA · 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 · 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 · 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 · 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 · 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 · 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 · 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 ...
Senior AI/ML Engineer
Great Falls, VA · Remote
$105K - $145K/yr
Location: Vienna VA (We will consider Remote candidates within US Mainland on EST) Required ... Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and ...
Senior AI/ML Engineer
Great Falls, VA · Remote
$105K - $145K/yr
Location: Vienna VA (We will consider Remote candidates within US Mainland on EST) Required ... Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and ...
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
... deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be ...
Remote Deep Learning Engineer information
See Washington, DC salary details
$24.7K is the 25th percentile. Wages below this are outliers.
$12.5K - $25.7K
27% of jobs
$25.7K - $39K
0% of jobs
$39K - $52.3K
0% of jobs
$52.3K - $65.6K
0% of jobs
$65.6K - $78.9K
0% of jobs
The median wage is $91K / yr.
$78.9K - $92.2K
25% of jobs
$92.2K - $105.4K
18% of jobs
$114.9K is the 75th percentile. Wages above this are outliers.
$105.4K - $118.7K
7% of jobs
$118.7K - $132K
2% of jobs
$132K - $145.3K
0% of jobs
$145.3K - $158.6K
21% of jobs
$12.5K
$95K
$158.6K
How much do remote deep learning engineer jobs pay per year?
As of Jul 14, 2026, the average yearly pay for remote deep learning engineer in Washington, DC 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.
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 are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?
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.
What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?
| Aspect | Remote Deep Learning Engineer | Remote Machine Learning Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, AI, or related; experience with deep learning frameworks | Bachelor's/Master's in CS, Data Science, or related; experience with ML algorithms |
| Work Environment | Research and development, model training, neural network design | Data analysis, model deployment, algorithm development |
| Employer & Industry Usage | Tech companies, AI startups, research institutions | Tech 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 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 most commonly searched types of Deep Learning Engineer jobs in Washington, DC? The most popular types of Deep Learning Engineer jobs in Washington, DC are:
What are popular job titles related to Remote Deep Learning Engineer jobs in Washington, DC? For Remote Deep Learning Engineer jobs in Washington, DC, the most frequently searched job titles are:
- Remote Summer Political Internship
- Remote Data Scientist Internship
- Entry Level Aws Cloud Engineer Remote
- Remote Grant Researcher
- Remote Coldfusion Developer Internship
- Remote React Native Expo
- Remote Intern Kotlin Developer
- Internship R&D Software Engineer
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- Summer Software Engineer 500K
What job categories do people searching Remote Deep Learning Engineer jobs in Washington, DC look for? The top searched job categories for Remote Deep Learning Engineer jobs in Washington, DC are:
Software Engineer Subject Matter Expert / AI & Machine Learning Engineer
Chantilly, VA • On-site, Remote
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 18 days ago
Job description
Software Engineer Subject Matter Expert / AI & Machine Learning Engineer
Location: Chantilly, Virginia
Security Clearance: Active TS/SCI with Polygraph Required
Job Type: Full-Time
The selected candidate will serve as a senior technical authority supporting the design, development, integration, and maintenance of advanced software, artificial intelligence, and machine learning solutions within a secure mission environment. This role requires extensive expertise in software engineering, systems analysis, cloud technologies, and AI/ML methodologies supporting complex operational and technical requirements.
Minimum Qualifications- Bachelor’s degree and a minimum of sixteen (16) years of relevant experience; OR
- Twenty-one (21) years of related professional experience in lieu of a degree
- Minimum of sixteen (16) years of software engineering, artificial intelligence, or machine learning experience
- Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with Polygraph
- Demonstrated experience leading complex technical and operational initiatives
- Design, develop, test, and maintain enterprise software and AI/ML systems
- Analyze software and system requirements to develop technical solutions supporting operational objectives
- Evaluate and improve software performance, scalability, reliability, and maintainability
- Develop system specifications, technical documentation, and implementation plans
- Coordinate with engineers, analysts, developers, and stakeholders to support system integration and deployment
- Modify and enhance existing software applications to improve functionality and resolve technical issues
- Analyze interfaces between hardware and software systems and define performance requirements
- Support installation, configuration, testing, and maintenance of software systems and applications
- Develop and maintain applications within cloud-based environments, including modernization of legacy systems
- Estimate software development schedules, technical risks, and resource requirements
- Apply analytical, mathematical, and engineering methods to evaluate system performance and software outcomes
- Lead AI and machine learning initiatives including model development, data analysis, automation, and predictive analytics
- Provide technical leadership, mentoring, and guidance to engineering and development teams
- Support troubleshooting, root cause analysis, and resolution of highly complex technical issues
- Expert knowledge of software engineering principles, artificial intelligence, machine learning, programming, and systems analysis
- Experience developing applications in cloud and enterprise environments
- Ability to analyze user requirements and translate them into scalable technical solutions
- Experience with software testing, debugging, and performance optimization
- Strong analytical, organizational, and problem-solving skills
- Excellent written and verbal communication skills
- Ability to lead technical teams and collaborate across multidisciplinary environments
Experience or familiarity with one or more of the following technologies or tools is desirable:
- Programming languages and software development frameworks
- Web application development technologies including HTML, JavaScript, Apache Struts, and Ruby on Rails
- Software testing, usability testing, and defect tracking tools including Mercury Interactive LoadRunner
- Source code editors and software development environments
- Desktop computing systems, high-end servers, and application server technologies
A dynamic, quality-focused small business providing innovative and mission-oriented solutions to government and commercial customers. The organization supports defense, intelligence, civilian, and commercial sectors through a team of experienced professionals and subject matter experts.
Benefits SummaryOur client offers a comprehensive benefits package to support employee well-being, financial security, professional growth, and work-life balance. Benefits may include:
- Flexible Time Off
Employees are encouraged to manage their time responsibly while meeting work requirements and maintaining productivity. - Hybrid Work Environment
Flexible work arrangements may include a combination of remote and onsite work opportunities based on operational needs. - Retirement Savings Plan
Retirement benefits may include participation in a 401(k) savings program with employer contributions. - Paid Parental Leave
Paid leave is available to support employees welcoming a new child through birth, adoption, or foster placement. - Comprehensive Health Coverage
Medical, dental, vision, and other healthcare benefit options are available to support individual and family healthcare needs. - Professional Development and Continuing Education
Opportunities for continued learning, certifications, and job-related training are available to support career growth and advancement.
We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.