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Weekday Machine Learning Research Scientist Jobs in Virginia

Morgan Stanley

Machine Learning Researcher

Broadway, VA · On-site

$154K - $213K/yr

Morgan Stanley's Machine Learning Research Department is responsible for working across the Firms ... We are a highly motivated and collaborative team of scientists, technologists, and market ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Metron

Research Scientist

Reston, VA · On-site

... machine learning, signal processing, multi-variable optimization, mission planning and tactical ... Advanced degree in computer science, applied mathematics, physics, engineering, operations research ...

Metron

Research Scientist

Reston, VA · On-site

... machine learning, signal processing, multi-variable optimization, mission planning and tactical ... Advanced degree in computer science, applied mathematics, physics, engineering, operations research ...

Skyline Scientific Inc

Software Engineer, Senior

Mclean, VA · On-site

$124K - $163K/yr

You also do not need to be a machine learning research scientist. You do need to be a strong coder, a clear thinker, and someone who is excited to work with scientists and engineers to build software ...

STR

Senior Machine Learning Engineer

Arlington, VA · On-site

$155K - $195K/yr

... Data Science, Statistics, Mathematics, Physics, or a related technical field * 6+ years of professional software engineering and/or machine learning research experience (or equivalent experience ...

Skyline Scientific Inc

Software Engineer, Senior

Mclean, VA · On-site

$124K - $163K/yr

You also do not need to be a machine learning research scientist. You do need to be a strong coder, a clear thinker, and someone who is excited to work with scientists and engineers to build software ...

STR

Senior Machine Learning Engineer

Arlington, VA · On-site

$155K - $195K/yr

... Data Science, Statistics, Mathematics, Physics, or a related technical field * 6+ years of professional software engineering and/or machine learning research experience (or equivalent experience ...

STR

Senior Machine Learning Engineer

Arlington, VA

$155K - $195K/yr

... Data Science, Statistics, Mathematics, Physics, or a related technical field * 6+ years of professional software engineering and/or machine learning research experience (or equivalent experience ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Kitware is a research and development software solutions provider with a mission to advance science ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Kitware is a research and development software solutions provider with a mission to advance science ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... Kitware is a research and development software solutions provider with a mission to advance science ...

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All JobsWeekday Machine Learning Research Scientist JobsWeekday Machine Learning Research Scientist Jobs in Virginia

Weekday Machine Learning Research Scientist information

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

To thrive as a Weekday Machine Learning Research Scientist, you need a solid background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Expertise with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and familiarity with cloud computing platforms are typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with teams and present complex findings effectively. These skills are crucial for developing innovative models, delivering impactful research, and ensuring successful implementation in real-world applications.

What does a Weekday Machine Learning Research Scientist do?

A Weekday Machine Learning Research Scientist conducts research and develops new algorithms or models in the field of machine learning, typically during standard business days (Monday to Friday). Their work involves designing experiments, analyzing data, publishing findings, and collaborating with other scientists or engineers. They may focus on improving existing machine learning techniques or creating innovative solutions for real-world problems. This role often requires a strong background in mathematics, computer science, and statistics, as well as proficiency in programming languages like Python or R.

What are some common challenges faced by a Weekday Machine Learning Research Scientist, and how are they typically addressed within the team?

Weekday Machine Learning Research Scientists often encounter challenges such as managing large datasets, tuning complex models, and keeping up with rapidly evolving research. Collaboration is key—team members regularly hold meetings to share findings, brainstorm solutions, and review code. Access to robust computational resources and mentorship from senior researchers helps address technical obstacles, while a structured, weekday schedule allows for focused research and effective work-life balance.

What is the difference between Weekday Machine Learning Research Scientist vs Weekend Machine Learning Research Scientist?

AspectWeekday Machine Learning Research ScientistWeekend Machine Learning Research Scientist
CredentialsMaster's or PhD in Computer Science, Data Science, or related fieldsSame as weekday role
Work EnvironmentTypically in office or research labs during standard hoursFlexible hours, often part-time or project-based
Employer & Industry UsageTech companies, research institutions, startupsFreelance projects, consulting firms, academic collaborations

The main difference between a Weekday Machine Learning Research Scientist and a Weekend Machine Learning Research Scientist lies in their work schedule and environment. Weekday roles usually involve full-time employment with structured hours, while weekend roles are often part-time or freelance, offering more flexibility. Both roles require similar credentials and are used across tech and research industries.

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:
Weekday Machine Learning Research Scientist jobs near you

Research Scientist

University of Virginia

Charlottesville, VA • On-site

Full-time

Re-posted 13 days ago

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

207th of 616 rated colleges and universities

Job description

Department Overview
The University of Virginia's Research Computing (RC) team, part of UVA Information Technology Services (ITS), supports cutting-edge research across the institution by providing advanced computational resources and expertise. Within RC, the Data Analytics Center (DAC) enables interdisciplinary collaboration by helping researchers apply modern data science and AI techniques to complex problems.
UVA ITS does more than support the UVA community - we empower and move it forward. With every partnership and every solution, we are shaping a culture and ecosystem where learning and discovery thrive.
Position Summary
The University of Virginia is seeking a Research Scientist with expertise in Large Language Models (LLMs) to join the Data Analytics Center (DAC) within Research Computing. This role will partner directly with researchers across disciplines to apply LLMs and AI techniques to diverse datasets, enabling innovative research outcomes.
As a key member of the Research Computing team, you will contribute technical expertise in deep learning and LLMs, support high-impact research initiatives, and help advance UVA's leadership in data-driven discovery.
Responsibilities
  • Collaborate with researchers to understand datasets and analytical requirements
  • Perform data preprocessing and analysis to identify appropriate deep learning and LLM approaches
  • Select, fine-tune, and apply LLMs and AI models to complex research problems
  • Optimize LLM performance on HPC systems, including parallel implementations
  • Manage AI-based research projects to ensure timely delivery and scientific rigor
  • Prepare technical reports, presentations, and research outputs
  • Develop and deliver training sessions and workshops on LLMs for the UVA community
  • Partner with the DAC team to share programming techniques and best practices
Minimum Qualifications
Education:
Advanced degree (Master's or higher)
Experience:
At least 2 years of relevant work experience
Skills:
  • Proficiency in Python programming
  • Demonstrated expertise in AI systems and machine learning algorithms
  • Strong analytical and problem-solving abilities
  • Excellent written and verbal communication skills
  • Ability to collaborate with researchers across diverse disciplines
  • Strong relationship-building skills with technical and non-technical stakeholders

Additional Requirement:
  • U.S. citizenship or permanent residency required due to access to high-security data environments
Preferred Qualifications
Education:
  • PhD in Computer Science, Electrical Engineering, Data Science, or related field

Experience:
  • 3+ years of academic or applied research experience

Technical Skills:
  • Deep understanding of transformer architectures (attention, tokenization, embeddings, positional encoding, scaling)
  • Experience with fine-tuning techniques (supervised fine-tuning, instruction tuning, RLHF, domain adaptation)
  • Proficiency with AI frameworks such as PyTorch, TensorFlow, and Hugging Face
  • Experience with LLM evaluation and benchmarking methodologies
  • Familiarity with generative or probabilistic modeling

Additional Knowledge:
  • Understanding of LLM risks such as hallucinations and bias, and responsible AI practices
Physical Demands
This is primarily a sedentary role. The position may require the ability to sit for extended periods and use a computer for prolonged durations.
Position Type & Work Location
  • Full-time
  • Located in Charlottesville, VA
  • Flexible work arrangements may be available

This position has committed funding through June 2028; continuation is dependent on the availability of funding.
About UVA and the Community
The University of Virginia is a highly regarded public institution known for its commitment to academic excellence, innovation, and service. Located in Charlottesville, UVA offers a vibrant community with a high quality of life, combining rich history with a dynamic and forward-looking environment.
UVA fosters a collaborative culture that values diversity, equity, and inclusion, and is dedicated to supporting employees' professional growth and work-life balance.
Application Timeline
Review of applications will begin after the position has been posted for a minimum of five days.
Additional Requirements
  • Background check required
  • This position will not sponsor applicants requiring a visa

How to Apply
Please apply online through Online and search for R0081788 . Complete the application and upload the following required materials:
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
  • Cover letter
  • Resume
Reference Check Process
Reference checks will be conducted via UVA's standard SkillSurvey process, requiring a minimum of three completed references.
Contact
For questions about this position, please contact:
Bill Crane
Senior Talent Acquisition Recruiter
University of Virginia
Xer5ff@virginia.edu
MINIMUM REQUIREMENTS:
Education: Bachelor's Degree required.
Experience: 3+ years relevant experience required.
Licensure: None.
PHYSICAL DEMANDS:
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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