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Remote Nvidia Machine Learning Jobs in Virginia (NOW HIRING)

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... Machine Learning algorithm testing and evaluation. The ideal candidate is an expert imagery ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$109K - $148K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$109K - $148K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

Gnw

Senior ML/AI Engineer

Richmond, VA · On-site +1

$103K - $142K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Build, train, evaluate, and deploy machine learning models for prediction, classification, NLP ...

Genworth Financial

Senior ML/AI Engineer

Richmond, VA · On-site +1

$103K - $142K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Build, train, evaluate, and deploy machine learning models for prediction, classification, NLP ...

NT Concepts

Data Scientist

Herndon, VA · On-site

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 ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

... remote work! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT ... Your skills in statistical analyses of high volume data, machine learning, machine vision or ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

... remote work! BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT ... Your skills in statistical analyses of high volume data, machine learning, machine vision or ...

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Remote Nvidia Machine Learning information

Can you work for NVIDIA remotely?

Remote Nvidia machine learning roles are available, with many positions allowing employees to work from home depending on the team and project requirements. Candidates typically need strong technical skills in machine learning, experience with Nvidia tools like CUDA, and may require specific certifications or hardware setup for remote work. Availability varies by role and location policies.

Which 5 jobs will survive AI?

Remote Nvidia Machine Learning roles are likely to persist as they require specialized skills in AI, deep learning, and GPU programming. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI researchers, software engineers, cybersecurity specialists, and technical trainers, are expected to remain in demand despite AI advancements.

How much do NVIDIA machine learning engineers make?

NVIDIA machine learning engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized expertise in deep learning and GPU programming can earn higher salaries, often exceeding $180,000. Compensation may also include bonuses and stock options in competitive tech environments.

Is it difficult to get hired at NVIDIA?

Getting hired for a remote Nvidia machine learning role can be competitive due to the company's high standards and specialized skill requirements. Candidates typically need strong expertise in machine learning, deep learning frameworks, and relevant programming languages, along with a solid educational background. Demonstrating experience with Nvidia technologies and certifications can improve chances of selection.

What is the difference between Remote Nvidia Machine Learning vs Remote Data Scientist?

AspectRemote Nvidia Machine LearningRemote Data Scientist
Required CredentialsDeep learning, GPU programming, Nvidia certificationsStatistics, programming, data analysis
Work EnvironmentFocus on GPU-accelerated ML models, Nvidia toolsData analysis, modeling, visualization
Industry UsageAI, autonomous vehicles, gaming, HPCBusiness analytics, research, finance

Remote Nvidia Machine Learning specialists focus on developing GPU-accelerated AI models using Nvidia technologies, often requiring specific certifications and expertise in GPU programming. In contrast, Remote Data Scientists analyze data, build predictive models, and interpret results across various industries. While both roles involve data and programming skills, Nvidia Machine Learning roles are more specialized in GPU-based AI development, whereas Data Scientists have broader data analysis responsibilities.

What are the most commonly searched types of Nvidia Machine Learning jobs in Virginia? The most popular types of Nvidia Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Remote Nvidia Machine Learning jobs? Cities in Virginia with the most Remote Nvidia Machine Learning job openings:
Remote Nvidia Machine Learning jobs near you

Imagery Scientist (EO) - Senior

GRVTY

Falls Church, VA • Remote

$97K - $133K/yr

Other

Posted 5 days ago

Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced imagery scientist to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm testing and evaluation.  The ideal candidate is an expert imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of the sensors and platforms in mind.

What You'll be Owning

  • Assist the EO lead in conducting assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
  • Assess potential differences in metadata, data format, and data structure characteristics in regard to changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
  • Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains
  • Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • 4+ years of expert EO imagery exploitation and imagery science experience with understanding of collection, phenomenology, image formation process, and exploitation products.
  • Demonstrated experience in:
    • EO collection systems
    • Remote sensing phenomenology
    • Image formation processes
    • Exploitation products and methodologies
  • Experience exploiting EO imagery to:
    • Detect
    • Identify
    • Locate objects of interest
  • Experience developing and evaluating:
    • Algorithms
    • Scientific workflows
    • Exploitation methodologies
  • Experience automating scientific processing workflows
  • Experience developing and evaluating:
    • Algorithms
    • Automated workflows
    • Scientific exploitation methods
  • Understanding of:
    • Remote sensing principles
    • EO imagery processing
    • Advanced exploitation methods
    • Sensor/platform limitations and advantages
  • Proven ability to communicate technical concepts to:
    • Technical audiences
    • Non-technical stakeholders
    • Intelligence users

What Would be Nice to Have

  • Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems

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