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Remote Deep Learning Engineer Jobs in Virginia (NOW HIRING)

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Senior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is ... Knowledge in Natural Language Processing (NLP), Deep Learning, and Generative AI is a must * Hands ...

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Proficiency in Python and familiarity with machine learning and deep learning libraries such as ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

XGBoost, LightGBM, Random Forests, Neural Networks, Deep Learning * Statistics: Regression ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

XGBoost, LightGBM, Random Forests, Neural Networks, Deep Learning * Statistics: Regression ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

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Showing results 1-20

Remote Deep Learning Engineer information

See Virginia salary details

$10.9K

$83.2K

$138.8K

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

As of Jul 8, 2026, the average yearly pay for remote deep learning engineer in Virginia is $83,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,400.00 and $137,800.00 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?

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 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 job categories do people searching Remote Deep Learning Engineer jobs in Virginia look for? The top searched job categories for Remote Deep Learning Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Deep Learning Engineer jobs? Cities in Virginia with the most Remote Deep Learning Engineer job openings:
Infographic showing various Remote Deep Learning Engineer job openings in Virginia as of July 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $83,166 per year, or $40 per hour.
Unity 3D Engineer, Senior

Unity 3D Engineer, Senior

Booz Allen Hamilton, Inc.

Arlington, VA • On-site, Remote

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 9 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description


Remote Work:
Yes
Job Number:
R0239134
Location:
Arlington,VA,US
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Unity 3D Engineer, Senior
The Opportunity:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning (ML), and artificial intelligence (AI) advances? In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve the government's advanced analytics capabilities. You'll work closely with your client to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You'll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions. You'll provide your client with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in bringing decision support and innovation to our clients.
Join us. The world can't wait.
You Have:
  • 4+ years of experience working in 3D game engine development in Unity, software engineering, data science, or ML engineering in a professional or academic environment
  • Experience with C# coding and building custom game engine logic workflows in Unity 3D
  • Experience deploying Unity 3D into a production cloud or on-premises environment
  • Ability to leverage geospatial libraries for advanced mapping and location-based features within Unity
  • Ability to implement connection with various external services and ensure seamless interaction within the Unity application
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:
  • 2+ years of experience with developing ML models, including supervised, unsupervised, or reinforcement learning
  • Experience with containerization, including Docker or Kubernetes
  • Experience with MLOps, GitOps, and string programming in Python or Java
  • Experience with designing, developing, deploying, and testing in AWS and using tools, including Lambda, API Gateway, or S3
  • Experience with distributed computing frameworks, including Spark, RAPIDS, Ray, or Polars
  • Experience with data engineering tools, including Databricks, Spark, Elasticsearch, Airflow, or a data warehouse
  • Experience with Cloud services, including Azure or Google Cloud
  • Possession of excellent oral and written communication skills

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914