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Remote Deep Learning Jobs in Springfield, VA (NOW HIRING)

Quevera LLC

Software Engineer II

Herndon, VA · On-site +1

$100K - $137K/yr

... on deep learning * 1+ years of hands-on experience fine-tuning large foundation models (LLMs or ... remote sensing imagery Familiarity with electro-optical and SAR satellite imagery formats and ...

BOOST LLC

Contracts Administrator (Remote)

Reston, VA · Remote

$70K - $90K/yr

Our team brings deep GovCon expertise across all of these disciplines, partnering with clients at ... If you thrive in variety, enjoy learning while still accomplishing tasks, and want the breadth of ...

boost Llc

Contracts Administrator (Remote)

Reston, VA · On-site +1

$70K - $90K/yr

Our team brings deep GovCon expertise across all of these disciplines, partnering with clients at ... If you thrive in variety, enjoy learning while still accomplishing tasks, and want the breadth of ...

Meazure Learning

Sr. DevOps Engineer

Mclean, VA · Remote

$133K - $170K/yr

At Meazure Learning , we aim to empower open-minded, inquisitive, and driven people, and we love ... Deep knowledge of cloud infrastructure (AWS, Azure, or GCP) * Hands-on experience with writing ...

Meazure Learning

Sr. DevOps Engineer

Mclean, VA · Remote

$133K - $170K/yr

At Meazure Learning , we aim to empower open-minded, inquisitive, and driven people, and we love ... Deep knowledge of cloud infrastructure (AWS, Azure, or GCP) * Hands-on experience with writing ...

EnthuZiastic

Growth Hacker - Remote

Rockville, MD · Remote

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Annandale, VA · Remote

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Adelphi, MD · Remote

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Largo, MD · Remote

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

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All JobsRemote Deep Learning JobsRemote Deep Learning Jobs in Springfield, VA

Remote Deep Learning information

See Springfield, VA salary details

$11.5K

$87.6K

$146.2K

How much do remote deep learning jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote deep learning in Springfield, VA is $87,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $145,200.00 per year, depending on experience, location, and employer.

What is a Remote Deep Learning job?

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 some 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 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 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 job categories do people searching Remote Deep Learning jobs in Springfield, VA look for? The top searched job categories for Remote Deep Learning jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Remote Deep Learning jobs? Cities near Springfield, VA with the most Remote Deep Learning job openings:
Remote Deep Learning jobs near you
Software Engineer II

Software Engineer II

Quevera LLC

Herndon, VA • On-site, Remote

$100K - $137K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago

Job description

Job Description:
Quevera is seeking a Software Engineer II to join our team. At Quevera, we don't just offer jobs-we provide opportunities to be part of a dynamic, forward-thinking community that fosters innovation, collaboration, and personal growth. You'll work with industry experts, take on exciting challenges, and have the creative freedom to build cutting-edge solutions, all while advancing your career in a space that truly values your skills and ideas.
REQUIRED - MUST have a current TS/SCI Polygraph clearance to apply for role. Only those with a current TS/SCI with Poly clearance will be considered.
Duties and Responsibilities:
  • Design and execute fine-tuning pipelines for Vision-Language Models (VLMs) on domain-specific imagery datasets, including data preprocessing, training orchestration, and hyperparameter optimization
  • Develop and implement evaluation frameworks for multimodal model performance, including task-specific metrics for image understanding, visual question answering, and spatial reasoning
  • Build scalable training infrastructure on AWS (SageMaker, EC2 GPU instances) for distributed fine-tuning of large multimodal models
    Engineer data pipelines for curating, annotating, and transforming geospatial imagery datasets into model-ready formats for supervised and instruction-tuning workflows
  • Collaborate with applied scientists and solutions architects to iterate on model architectures, adapter strategies (LoRA/QLoRA), and inference optimization techniques

Required Experience:
  • TS/SCI with CI Poly required with current NGA eligibility and SBU/SECNet/COE accounts
  • Must be willing to work in SCIF daily or as needed
  • 5+ years of professional machine learning engineering experience with a focus on deep learning
  • 1+ years of hands-on experience fine-tuning large foundation models (LLMs or VLMs)
  • Experience with parameter-efficient fine-tuning methods (LoRA, QLoRA, adapters)
  • Familiarity with supervised fine-tuning, instruction tuning, and RLHF/DPO alignment techniques
  • 4+ years of advanced Python development for ML workloads
  • Strong proficiency with PyTorch and the HuggingFace ecosystem (Transformers, PEFT, Datasets, Accelerate)
  • Experience with distributed training frameworks (DeepSpeed, FSDP, or Megatron)
  • 3+ years of experience with computer vision or multimodal models
  • Understanding of vision transformer architectures (ViT, CLIP, LLaVA-family models, or similar)
  • Experience processing and augmenting image datasets at scale
  • 3+ years of experience with AWS ML infrastructure
    SageMaker Training jobs, Processing jobs, and endpoint deployment
    GPU instance selection, multi-node training, and cost optimization on EC2 (P4/P5/G5/G6e)
    S3 data management for large-scale training datasets
  • 2+ years of experience building ML evaluation pipelines
    Automated benchmarking, metric computation, and result analysis
    Experience with both quantitative metrics and qualitative/human evaluation approaches
  • Strong software engineering fundamentals (version control, testing, CI/CD for ML workflows)

Desired Experience:
  • 2+ years of experience with geospatial or remote sensing imagery
    Familiarity with electro-optical and SAR satellite imagery formats and characteristics
    Understanding of geospatial metadata, coordinate systems, and imagery preprocessing
  • Experience with model quantization and inference optimization (vLLM, TensorRT, ONNX)
    Experience with MLOps and experiment tracking tools (MLflow, Weights & Biases, SageMaker Experiments)
    Familiarity with data annotation platforms and active learning workflows for imagery
    Experience with containerized ML workflows (Docker, ECR, ECS/EKS)
    2+ years of experience with Authority to Operate (ATO) processes in government environments
    Implementation of NIST 800-53 controls and security compliance for ML systems
  • Experience deploying models in air-gapped or disconnected environments
    Familiarity with multimodal evaluation benchmarks (MMMU, MMBench, GQA, or domain-specific equivalents)
    Publications or demonstrated contributions in computer vision, VLMs, or multimodal AI
    Experience with synthetic data generation for training data augmentation
    Complete items below line after a partner is selected

Why Join Quevera?
Award-Winning Culture
Quevera was recognized as a Top Workplace in the Washington, DC/Baltimore region for 2025, marking our fifth consecutive year receiving this distinction based on employee feedback.
Outstanding Benefits
We invest in our employees and their families through a highly competitive benefits package, including:
  • 100% employer-paid medical coverage (optional plan)
  • Competitive options for Medical, Dental and Vision insurance
  • Employer-paid short-term and long-term disability coverage
  • Employer-paid life insurance
  • $5,000 annually for education, training, certifications, and professional development
  • Career advancement through our structured IQWay Program
  • Up to 6% 401(k) match
  • Additional 4% profit-sharing contribution

At Quevera, we believe exceptional people deserve exceptional opportunities. We're more than just a workplace-we're a team of innovators, problem-solvers, and industry experts committed to delivering mission-critical solutions while fostering professional growth, collaboration, and technical excellence.
Quevera is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age or any other characteristic protected by law.

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