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Machine Learning Intern Remote Jobs in Charlottesville, VA

Machine Learning Intern Remote information

See Charlottesville, VA salary details

$25.3K

$42.2K

$87.3K

How much do machine learning intern remote jobs pay per year?

As of Jul 29, 2026, the average yearly pay for machine learning intern remote in Charlottesville, VA is $42,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern (Remote), and why are they important?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
What are popular job titles related to Machine Learning Intern Remote jobs in Charlottesville, VA? For Machine Learning Intern Remote jobs in Charlottesville, VA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern Remote jobs in Charlottesville, VA look for? The top searched job categories for Machine Learning Intern Remote jobs in Charlottesville, VA are:
What cities near Charlottesville, VA are hiring for Machine Learning Intern Remote jobs? Cities near Charlottesville, VA with the most Machine Learning Intern Remote job openings:

AI Cyberthreat Systems Analyst, Senior

Booz Allen Hamilton, Inc.

Charlottesville, VA • On-site, Remote

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 16 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

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Job description


Remote Work:
No
Job Number:
R0240274
Location:
Charlottesville,VA,US
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AI Cyberthreat Systems Analyst, Senior
The Opportunity:
Booz Allen is seeking a senior Computer Systems Analyst to support intelligence community ground force reporting requirements. You'll work as part of a contract team performing in-depth technical identification, analysis, and mitigation of emerging artificial intelligence and machine learning threats of adversary peer and near-peer conventional and irregular warfare threats to U.S. operations. The ideal candidate is a seasoned intelligence professional with a deep understanding of artificial intelligence capabilities, specifically algorithmic applications, clustering, data analytics, model patching, and distillation. In this role, you will inform artificial intelligence and counter-artificial intelligence strategies by authoring all-source intelligence products that adhere to client and IC standards using a multi-disciplined intelligence approach through various data collection procedures and technologies, including emerging artificial intelligence, counter-artificial intelligence, computer science, and big data methodologies.
Join us. The world can't wait.
You Have:
  • Ability to analyze algorithms to determine operational applications, intent, and maturity in communications and cyber environments
  • Ability to examine artificial intelligence and machine learning technical implications, data clustering methodologies, advanced data analytics, model distillations, and systems update cycles
  • Ability to provide in-depth scientific and technical analysis to support technical and analytic operations and knowledge management across organizational and intra-IC boundaries and clearly articulate key findings
  • Ability to work independently and with minimal oversight as well as collaborate with technical professionals and mission leaders that inform strategic policy
  • Ability to define comprehensive, new, or unique research approaches that enable rigorous assessments to address and contribute to high-level tasks
  • Ability to review analytic products for cogent arguments, tradecraft standards, and adequate support for conclusions and routinely test analytic rigor of analytic products
  • Ability to deliver briefings to technical professionals, senior leadership, and IC stakeholders
  • TS/SCI clearance
  • Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM) field and 5+ years of experience in intelligence analysis or cyber threat analysis, or 10+ years of experience in intelligence analysis or cyber threat analysis in lieu of a degree

Nice If You Have:
  • 12+ years of experience in intelligence analysis, cyber threat analysis, or a related field
  • Experience working on specialized technology warning, cyber or AI Red Teaming, or adversary algorithm emulation
  • Knowledge of artificial intelligence and machine learning applications
  • Knowledge of DoW artificial intelligence guidelines, operational constraints and frameworks, intelligence processes, activities, standards, and available analytic tools
  • Master's degree in a Science, Technology, Engineering or Mathematics (STEM) field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914