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Remote Deep Learning Engineer Jobs in Washington

AI/ML Engineer, Senior - WFH1650

Reston, VA ยท On-site +1

$108.70K - $149.30K/yr

Remote Years of Experience: 5-7 years of relevant experience Education Level: BS or MS in ... The role requires strong Python and deep learning skills, comfort with real-world noisy sensor data ...

AI/ML Engineer, Senior - WFH1650

Reston, VA ยท On-site +1

$108.70K - $149.30K/yr

Remote Years of Experience: 5-7 years of relevant experience Education Level: BS or MS in ... The role requires strong Python and deep learning skills, comfort with real-world noisy sensor data ...

Machine Learning & Operations Engineer

Arlington, VA ยท Remote

$80K - $108.10K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

Machine Learning & Operations Engineer

Arlington, VA ยท Remote

$71.10K - $96.20K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

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Showing results 1-20

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 May 28, 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 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.

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 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 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 are the most commonly searched types of Deep Learning Engineer jobs in Washington? The most popular types of Deep Learning Engineer jobs in Washington are:
What are popular job titles related to Remote Deep Learning Engineer jobs in Washington? For Remote Deep Learning Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Deep Learning Engineer jobs in Washington look for? The top searched job categories for Remote Deep Learning Engineer jobs in Washington are:
What cities in Washington are hiring for Remote Deep Learning Engineer jobs? Cities in Washington with the most Remote Deep Learning Engineer job openings:
AI Engineer with IRS MBI Clearance required

AI Engineer with IRS MBI Clearance required

3M Consultancy

Washington, DC โ€ข Remote

$100K - $150K/yr

Full-time

Posted 14 days ago


Job description

This is a remote position.

Job Title: AI Engineer
Location: Remote
Duration: Full-Time
NEED IRS MBI Clearance.

Experience & Leadership: 3โ€“5+ years in software/ML engineering with a strong track record of leading end-to-end AI/ML projects and mentoring junior team members.
Technical Skills: Proficient in Python, deep learning (PyTorch/TensorFlow), Natural Language Processing (NLP) /LLMs, MLOps (e.g. MLflow, Docker, cloud platforms), and data pipelines.
Deployment Expertise: Hands on experience deploying models to production using tools like SageMaker, Vertex AI, or custom APIs (FastAPI, TorchServe).
Soft Skills: Strong communication, cross-functional collaboration, critical thinking, and the ability to translate business needs into AI solutions.
Bonus/Preferred: Experience with LLMs, generative AI, RAG, open-source contributions, or domain expertise in finance, healthcare, or recommendation systems.



3M Consultancy logo

About 3M Consultancy

Sourced by ZipRecruiter

3M Consultancy was created when we recognized that the InfoTech industry was growing at a rapid pace, and the traditional methods of hiring for these roles were becoming outdated and inadequate. We are a group of dedicated and tenured recruiting professionals who focus on employing a new system of practice to help you find the best talents out there. The traditional staffing agencies and job-boards may have been effective in retrieving a pool of resumes for employers, but it lacked the extra knowledge of the industry to fill these important roles. Our team is composed of highly skilled and experienced recruitment professionals who are dedicated to finding the best talent for our clients. We have a thorough understanding of the industries we serve and are well-equipped to meet the unique needs and requirements of our clients.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

San Diego, CA, US