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Contract Machine Learning Research Scientist Jobs in Virginia

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

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Contract Machine Learning Research Scientist information

What are the key skills and qualifications needed to thrive as a Contract Machine Learning Research Scientist, and why are they important?

To thrive as a Contract Machine Learning Research Scientist, you need advanced knowledge of machine learning algorithms, statistical modeling, and a graduate degree in computer science, mathematics, or a related field. Expertise with programming languages such as Python or R, familiarity with ML frameworks like TensorFlow or PyTorch, and experience using version control systems are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout candidates apart in collaborative and fast-paced research environments. These skills are crucial for developing innovative solutions, interpreting complex data, and delivering high-quality research outcomes within contractual timelines.

What does a Contract Machine Learning Research Scientist do?

A Contract Machine Learning Research Scientist is a professional hired on a temporary or project basis to design, develop, and implement machine learning models and algorithms. They collaborate with teams to analyze data, conduct experiments, and improve AI systems, often in academic, industrial, or commercial settings. Their work typically involves researching new techniques, publishing findings, and translating research into practical applications. Since they work on a contract basis, their roles may vary depending on the project's needs and duration.

What is the difference between Contract Machine Learning Research Scientist vs Data Scientist?

AspectContract Machine Learning Research ScientistData Scientist
CredentialsMaster's or PhD in CS, ML, or related fieldsBachelor's or Master's in CS, Statistics, or related fields
Work EnvironmentResearch labs, R&D teams, academic collaborationsBusiness analytics, product teams, data-driven decision making
Employer & Industry UsageTech companies, research institutions, startupsFinance, healthcare, e-commerce, tech firms

Contract Machine Learning Research Scientists focus on developing new algorithms and conducting research, often in academic or R&D settings. Data Scientists analyze data to generate insights and support business decisions. While both roles require strong ML knowledge, the research scientist role emphasizes innovation and experimentation, whereas data scientists focus on applying existing models to real-world problems.

What are some common challenges faced by contract machine learning research scientists when working on short-term projects?

Contract machine learning research scientists often encounter challenges such as limited timeframes to achieve research milestones, quickly adapting to new domains or datasets, and efficiently integrating with existing teams. As short-term contributors, they must rapidly understand the project's context and deliver impactful results within strict deadlines. Clear communication and proactive collaboration with permanent staff are essential to ensure alignment with project goals and to maximize the value delivered during the contract period.
What are the most commonly searched types of Machine Learning Research Scientist jobs in Virginia? The most popular types of Machine Learning Research Scientist jobs in Virginia are:
What are popular job titles related to Contract Machine Learning Research Scientist jobs in Virginia? For Contract Machine Learning Research Scientist jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Research Scientist jobs in Virginia look for? The top searched job categories for Contract Machine Learning Research Scientist jobs in Virginia are:
What cities in Virginia are hiring for Contract Machine Learning Research Scientist jobs? Cities in Virginia with the most Contract Machine Learning Research Scientist job openings:
Infographic showing various Contract Machine Learning Research Scientist job openings in Virginia as of July 2026, with employment types broken down into 61% Full Time, 21% Part Time, 1% Temporary, and 17% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Senior Machine Learning Research Scientist - Secure AI Lab

Cmu

Arlington, VA

$105K - $143K/yr

Full-time

Re-posted 12 days ago


Job description

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.

As our government customers adopt AI and machine learning toprovideleap-ahead mission capabilities, we

  • build real-world, mission-scale AI capabilities through solving practical engineering problems

  • discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities

  • prepare our customers to be ready for the unique challenges of adopting, deploying, using, andmaintainingAI capabilities

  • identifyand investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.

Overview:As a Senior Machine LearningResearch Scientist,you will specialize inconductingresearch into the vulnerabilities of AIandML algorithms and securing against those vulnerabilities.

TheSecure AILab within the SEI's AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, theSecure AILabconducts and appliescutting-edgeresearch toprotectAI systems fromadversaries who aim to manipulatethe systemto learn, do, or revealsomething itisn'tsupposed to.

TheSecure AILab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:

  • Counter AI Research:Study threat models targeting AIandML algorithms,understand the behaviors of AI algorithms,identifyweak points, and design novel ways to subvert AIandML systems.

  • AIandMLAlgorithm DefenseResearch:Createpractical mitigations and defenses forobservedattacksaffecting AIandML algorithmsand evaluate the effectiveness ofdefensivetechniques.

  • AppliedAdversarial Machine Learning:Advance the state of the art inadversarialmachinelearningby developing and transitioning capabilities to government sponsors.

Your day-to-day research tasks will include:

  • Identifyingandinvestigatingemerging AI and AI-adjacent technologies.

  • Performing andpublishingimpactful original research in the field ofAIandML algorithm vulnerabilities and securing against those vulnerabilities.

  • Adapting andapplyingexisting research in the field to solve real-world problems.

  • Transitioning andprovidingguidanceonAI capabilities to government sponsors.

Duties:

  • Hands-on research:You'llconduct and lead novel research in applied machine learning and artificial intelligence.

  • Solution development:You'llwork with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.

  • Strategy:You'llwork withthe leadership teamand colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agendaregardingfuture technology.

  • Collaboration:You'llactivelyparticipateon teams of software developers, researchers, designers, and technical leads.You'llbuild relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs,possible solutions, and research directions.

  • Mentoring:You'llcontribute to improving the overall technical capabilities of the Divisionby mentoring and teaching others,participatingin design (software and otherwise) sessions, and sharing insights and wisdom across the SEIAIDivision.

Knowledge andExperience

  • Comprehensiveknowledge ofmachine learning;previousexperiencein adversarial machine learningpreferredbut notrequired

  • A track recordofconducting research and applying scientific methodsto solvedifficult problems

  • Experienceleadingresearchprojectsinnovelareaswith limitedpreviouswork to build upon

  • Abilityto work with leadership to plan, develop, anddeliveran overallresearchstrategy

  • Strong written and verbal communication skills;abilityto convey complex technical ideasinalayperson's terms

  • Proficiencyinwritingfunding proposalsorpitchingideas fornew researchprojects

  • Ampleexperience with publishingwritten or technicalartifactsshowcasingyour work

  • Strong collaboration skills forworkingwith colleagues and sponsors

  • Willingnesstoguide andmentorjunior team members

Requirements

  • A bachelor's degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience

  • Willingness to work onsite at an SEI facility 5 days per week.

  • Be able to obtain andmaintainan active Department of War security clearance.

  • Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff - Regular

Full time/Part time

Full time

Pay Basis

SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

  • Statement of Assurance


CMU logo

About CMU

Sourced by ZipRecruiter

Industry

Offices of mental health practitioners

Company size

201 - 500 Employees

Headquarters location

Harrisburg, PA, US