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Remote Nvidia Machine Learning Jobs in Washington

System One

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Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

AI Data Scientist REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data ... Solid experience in data science, machine learning, or applied analytics roles * Experience ...

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Machine Learning and AI Solutions : Lead the development and implementation of machine learning ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

Develop statistical and machine learning models (classification, time series, etc.) using a custom ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

Develop statistical and machine learning models (classification, time series, etc.) using a custom ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

Develop statistical and machine learning models (classification, time series, etc.) using a custom ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

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

System One

Data Scientist

Mclean, VA · Remote

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Design and develop machine learning models and analytical approaches to support search, discovery ...

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All JobsRemote Nvidia Machine Learning JobsRemote Nvidia Machine Learning Jobs in Washington

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 Washington? The most popular types of Nvidia Machine Learning jobs in Washington are:
What cities in Washington are hiring for Remote Nvidia Machine Learning jobs? Cities in Washington with the most Remote Nvidia Machine Learning job openings:
Remote Nvidia Machine Learning jobs near you
Data Scientist - AI/ML & Advanced Analytics (Fraud Analytics & Investigative Support)

Data Scientist - AI/ML & Advanced Analytics (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

Full-time

Retirement, PTO

Posted 3 days ago

Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
Position Overview
Praescient Analytics is building a multidisciplinary advanced analytics team supporting federal fraud detection and investigative missions. We are seeking experienced Data Scientists with expertise in one or more advanced analytical disciplines, including artificial intelligence (AI), machine learning (ML), natural language processing (NLP), large language models (LLMs), graph analytics, and relationship discovery.
These positions will help design and implement next-generation analytical capabilities that identify hidden fraud patterns, uncover complex relationships, analyze unstructured information, and transform large, diverse datasets into actionable intelligence for investigators and oversight organizations.
The ideal candidate is a hands-on technical specialist who enjoys applying emerging analytical technologies to solve complex fraud, financial crime, and investigative challenges.
Key Responsibilities
  • Design, develop, validate, and optimize advanced analytical models supporting fraud detection and investigative missions.
  • Apply machine learning, artificial intelligence, natural language processing, graph analytics, and statistical modeling techniques to identify fraud patterns and emerging risks.
  • Analyze structured, semi-structured, and unstructured data from multiplegovernment and commercial sources.
  • Develop scalable analytical workflows using cloud-native technologies and open-source data science frameworks.
  • Collaborate with Graph Data Scientists, Data Engineers, Investigative Analysts, and Technical Analytics Managers to develop integrated analytical solutions.
  • Document analytical methodologies, model performance, validation results, and technical recommendations.
  • Support Agile software development through sprint planning, demonstrations, peer reviews, and iterative solution development.

Required Qualifications
  • Must have experience with Fraud Analysis
  • Three (3) or more years of professional experience developing advanced analytical or machine learning solutions.
  • Strong Python and SQL programming experience.
  • Experience developing, testing, validating, and improving analytical or machine learning models.
  • Experience working with cloud analytics environments.
  • Excellent analytical, written, and verbal communication skills.

Desired Experience
We are seeking candidates with demonstrated expertise in one or more of the following advanced analytics areas:
  • Artificial Intelligence & Machine Learning: Developing, validating, deploying, and optimizing machine learning and AI models using modern frameworks and best practices for predictive analytics, classification, clustering, and model evaluation.
  • Natural Language Processing (NLP) & Large Language Models (LLMs): Applying NLP, LLMs, Retrieval-Augmented Generation (RAG), semantic search, information extraction, document intelligence, and other techniques to analyze and derive insights from unstructured text.
  • Graph Analytics & Relationship Discovery: Leveraging graph databases, knowledge graphs, link analysis, network analytics, entity resolution, and relationship discovery tools (e.g., Neo4j, Cypher, i2 Analyst's Notebook) to identify hidden patterns and complex fraud networks.
  • Cloud-Native Analytics: Developing analytical solutions within modern cloud and Lakehouse environments using platforms such as Azure Databricks, Microsoft Fabric, Azure Data Lake Storage, SQL Server, Power BI, Git, or comparable technologies.
  • Fraud Analytics & Investigative Support: Applying advanced analytics to fraud detection, financial crimes, program integrity, federal benefit programs, grants, loans, emergency relief, or other government oversight and investigative missions.

What We're Looking For
We're looking for technically curious data scientists who enjoy exploring emerging technologies and applying them to real-world investigative challenges. Whether your expertise lies in machine learning, large language models, graph analytics, relationship discovery, or advanced AI techniques, you'll help build innovative analytical capabilities that strengthen government oversight, accelerate fraud detection, and support investigators in protecting the integrity of federal programs.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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