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Remote Deep Learning Jobs in Washington, DC (NOW HIRING)

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI ...

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI ...

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI ...

Machine Learning Engineer - Remote

Vienna, VA ยท On-site +1

$140K - $150K/yr

Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.). * Solid background in software engineering principles and best practices. * Hands-on ...

Proficiency in data science, deep learning, and neural networks. * Ability to travel to local clients as required by project or client needs. * Remote work is not permitted. ASSYST Benefits: We are ...

Data Scientist

Mclean, VA ยท On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Demonstrated professional or academic experience with deep learning frameworks such as PyTorch ...

Data Scientist

Mclean, VA ยท On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Demonstrated professional or academic experience with deep learning frameworks such as PyTorch ...

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Remote Deep Learning information

See Washington, DC salary details

$12.5K

$95K

$158.6K

How much do remote deep learning jobs pay per year?

As of Aug 5, 2026, the average yearly pay for remote deep learning 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.

What is a remote deep learning engineer?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What are common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

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

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

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

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.
What are the most commonly searched types of Deep Learning jobs in Washington, DC? The most popular types of Deep Learning jobs in Washington, DC are:
Infographic showing various Remote Deep Learning job openings in Washington, DC as of June 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $95,008 per year, or $45.7 per hour.

Machine Learning/AI Engineer

System One

Merrifield, VA โ€ข Remote

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago


Job description

Job Title: Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c) Position Type: Multiyear Contract

We are looking for candidates with 5-10 years of professional experience with a combination of data science and machine learning expertise with knowledge of AI governance, MLOps, and emerging AI technologies. Candidates must live in the United States and be able to pass both a criminal and credit background check. We are open to W2 and established 1099 candidates – no c2c. This position is for a Machine Learning/AI Engineer or Data Scientist focused on designing, developing, deploying, and securing advanced AI/ML solutions (more of an AI/ML Engineer and less of data scientist). The role involves building machine learning models throughout their lifecycle, analyzing large-scale structured and unstructured data, developing AI-powered solutions using cloud platforms, and collaborating with data engineers and data scientists. A key aspect of the role is evaluating AI safety, security, and risk, including reviewing AI architectures, conducting risk assessments, and ensuring secure deployment and monitoring of AI systems. The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI, and cloud-based AI infrastructure. Responsibilities • Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. • Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. • Review A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks. • Perform A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring. • Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects. • Research and evaluate emerging technologies. • Develop data science solutions based on tools and cloud computing infrastructure. • Perform other duties as assigned.

Requirements • Advanced degree in in computer science, mathematics, physics, statistics. • Strong experience with applying expertise in model design, training, validation, and monitoring. • Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. • Experience with cloud computing infrastructure. • Experience with Computer Vision, image processing and video analytics. • Experience with Natural Language Processing/ Natural Language Understanding. • Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. • Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs). • Experience and/or willing to research, develop, implement, and fine-tune LLMs in terms of specific domains knowledge and user cases. • Ability to work individually, and as part of a team. • Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

Desired: • Experience with reviewing A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks. • Experience with performing A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring. • A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA. • Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments. • Knowledge on principles of A.I. Security and Safety. • Experience with Advance Reinforcement Learning Paradigms. • Experience with Speech Recognition. • Experience with Microsoft Azure services.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M- #LI- Ref: #851-Rockville-S1