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Remote Spatial Engineering Jobs in Springfield, VA

Niyam IT, Inc.

Principal Engineer, GIS

Fairfax, VA · On-site +1

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... Define technical strategy, reference architectures, and engineering standards for geospatial data ...

Atreides

Mission (Data) Engineer

Arlington, VA · Remote

$131K - $158K/yr

... spatial data subscriptions that can be used across a wide spectrum of use cases. Currently ... Document infrastructure design, data engineering processes, andmaintaincomprehensive documentation.

Atreides

Mission (Data) Engineer

Arlington, VA · Remote

$117K - $140K/yr

... spatial data subscriptions that can be used across a wide spectrum of use cases. Currently ... Document infrastructure design, data engineering processes, and maintain comprehensive ...

Booz Allen Hamilton, Inc.

XR Developer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0248744 Location: McLean,VA,US Share job via: Share XR Developer ... Are you looking for an opportunity to apply your passion and expertise in XR and Spatial Computing ...

Amteck, LLC

BIM Technician - Electrical

Dulles, VA · On-site +1

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

Amteck, LLC

BIM Technician - Electrical

Ashburn, VA · On-site +1

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

Amteck, LLC

BIM Technician - Electrical

Chantilly, VA · On-site +1

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

Amteck, LLC

BIM Technician - Electrical

Sterling, VA · On-site +1

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

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Showing results 21-40

All JobsSpatial Engineering JobsRemote Spatial Engineering JobsRemote Spatial Engineering Jobs in Springfield, VA

Remote Spatial Engineering information

See Springfield, VA salary details

$43.9K

$99.2K

$161.9K

How much do remote spatial engineering jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote spatial engineering in Springfield, VA is $99,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $112,800.00 per year, depending on experience, location, and employer.

What cities near Springfield, VA are hiring for Remote Spatial Engineering jobs?

Cities near Springfield, VA with the most Remote Spatial Engineering job openings:

Remote Spatial Engineering jobs near you

Senior Machine Learning Engineer

Washington, DC • On-site, Remote

Clearview AI
Public Safety Statistics Centers and Offices • 11 - 50 employees
Learn more about Clearview AIexternal

$180K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Job description

Senior Machine Learning Engineer
Department: Engineering
Employment Type: Full Time
Location: Remote USA
Compensation: $180,000 - $250,000 / year
Description
Clearview AI is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. Our mission is to help our users solve crimes and prevent financial fraud with the responsible use of our facial recognition software. Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent team members to join our team. To learn more about us, and our revolutionary facial recognition technology, please visit www.clearview.ai.
Senior Machine Learning Engineer
Position Summary: We are hiring a highly technical individual contributor to push the limits of our computer vision and machine learning capabilities. This is a high-impact, hands-on role for a research-minded engineer who wants to build and ship models, not manage a team. Much of the work involves large-scale visual understanding, extracting structured signals from imagery and reasoning about the real-world context behind a photograph, but we care more about deep ML/CV ability than any one problem area and welcome strong generalists.
Responsibilities:
  • Build, train, evaluate, and deploy computer vision and multimodal models, taking them from early prototype through to production
  • Design systems that infer structured attributes and spatial context from imagery, combining learned models with geometric and heuristic reasoning
  • Train and fine-tune models on large, diverse real-world image datasets, and build the pipelines to curate and label that data at scale
  • Work with vision-language models (VLMs) and build rigorous evaluation frameworks to measure their accuracy on our tasks
  • Develop and benchmark high-performance image retrieval capabilities with embedding models and vector indexing strategies
  • Optimize models for inference latency and throughput using techniques like distillation, quantization, and GPU acceleration
  • Read current research, prototype novel algorithms from academic literature, and turn promising ideas into reliable production code
  • Implement efficient, scalable data pipelines and inference infrastructure
  • Develop high-performance tooling in ML and data engineering
  • Additional duties and responsibilities as reasonably required by the employee's supervisor or CEO

Requirements and Experience
Requirements:
  • Experience building, training, evaluating, and deploying ML models in production
  • Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize models
  • Strong software engineering ability to build and maintain complex systems and work with large-scale datasets
  • Ability to solve open-ended problems and quickly learn new domains
  • Comfort operating with significant ownership and autonomy, making pragmatic trade-offs between model sophistication, velocity, inference and business constraints
  • BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience

Nice to have:
  • Experience inferring structured, real-world attributes from images
  • Experience training models on large-scale, real-world image datasets
  • Familiarity with vision-language models (VLMs)
  • Ability to digest academic literature, prototype novel algorithms, and bridge the gap between research and production code
  • Experience building LLM or VLM pipelines and the evaluation frameworks to measure their performance
  • Experience in an ML role at a growth-stage startup
  • Publications in major ML or computer vision conferences (e.g., CVPR, ICML, ICCV, WACV)

Benefits
  • Medical, Dental, Vision, STD and LTD Plans
  • FSA - Medical and Dependent Care
  • EAP and wellness programs
  • 13 Paid Holidays
  • Unlimited PTO
  • Flexible work environment - 100% remote
  • 401(k) plan

Apply