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Remote High Performance Computing Engineer Jobs in Annapolis Junction, MD

NLM Cloud Engineer III

Bethesda, MD · Remote

$59.50 - $79.50/hr

Deliver day-to-day cloud operations support, including secure remote access, administration of ... services, high-performance computing, and high-throughput processing environments through ...

NLM Cloud Engineer I

Bethesda, MD · Remote

$59.50 - $79.50/hr

Knowledge of FedRAMP requirements and secure remote access administration * Prior experience ... high-performance computing, and high-throughput processing environments; administer commercial ...

Associate Software Engineer

Washington, DC · On-site +1

$110K - $130K/yr

... high-performance user interfaces. * Building and maintaining responsive web applications using ... Remote Benefits: * 401(k) * 401(k) contribution * Dental insurance * Medical insurance * Life ...

New

Senior Software Engineer - Remote

Washington, DC · Remote

$138K - $182K/yr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

US - fully remote We're hiring a high-performance closer to sell QuickRank, AI-powered local SEO system designed to place businesses in the top 3 positions of Google Maps, dominate local search ...

US - fully remote We're hiring a high-performance closer to sell QuickRank, AI-powered local SEO system designed to place businesses in the top 3 positions of Google Maps, dominate local search ...

Showing results 41-60

Remote High Performance Computing Engineer information

See Annapolis Junction, MD salary details

$12

$66

$107

How much do remote high performance computing engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote high performance computing engineer in Annapolis Junction, MD is $66.04, according to ZipRecruiter salary data. Most workers in this role earn between $54.13 and $74.76 per hour, depending on experience, location, and employer.

What is the difference between Remote High Performance Computing Engineer vs Remote Data Scientist?

AspectRemote High Performance Computing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience with HPC systemsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in programming and analytics
Work EnvironmentDesigning, optimizing, and maintaining HPC systems remotely for scientific or engineering tasksAnalyzing large datasets, building models, and generating insights remotely for various industries
Employer & Industry UsageTech companies, research institutions, engineering firms using HPC clustersTech, finance, healthcare, and research organizations leveraging data analytics

While both roles often require strong programming skills and familiarity with cloud or remote systems, the HPC Engineer focuses on maintaining and optimizing high-performance computing infrastructure, whereas the Data Scientist emphasizes data analysis and modeling. Their work environments overlap in remote settings, but their core responsibilities differ significantly.

Senior Machine Learning Engineer

Clearview AI, Inc.

Washington, DC • Remote

$107K - $146K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


Job 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:
  • 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)
  • 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