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Remote Machine Learning Researcher Jobs in Lanham, MD

Maximus

Data Scientist (Remote)

VA · On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... research in optimizing human decisions using technologies like machine learning and/or deep ...

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Remote Machine Learning Researcher information

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$30K

$113.2K

$164.6K

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

As of Aug 9, 2026, the average yearly pay for remote machine learning researcher in Lanham, MD is $113,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $154,100.00 per year, depending on experience, location, and employer.

What is a remote machine learning researcher?

Remote Machine Learning Researchers are professionals who study, design, and develop machine learning algorithms and models while working outside of a traditional office environment. They typically analyze data, conduct experiments, and collaborate with teams or organizations virtually to advance artificial intelligence technologies. Their work may involve tasks such as building predictive models, publishing research papers, or contributing to open-source machine learning projects. Being remote allows them flexibility in location and often the ability to work with international teams. Strong programming, mathematical, and communication skills are essential in this role.

What are the key skills and qualifications needed to thrive as a remote machine learning researcher?

To thrive as a Remote Machine Learning Researcher, you need a strong 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. Familiarity with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms, and version control systems (Git) is typically required, along with published research or contributions to academic conferences. Outstanding problem-solving ability, self-motivation, and excellent written communication are crucial soft skills for remote collaboration and knowledge sharing. These skills are essential for developing innovative models, contributing to cutting-edge research, and effectively collaborating in a distributed team environment.

What are the common challenges faced by remote machine learning researchers when collaborating with global teams?

Remote machine learning researchers often collaborate with team members across different time zones and cultural backgrounds, which can make synchronous meetings and real-time problem-solving challenging. Communication of complex ideas, such as model architectures or experimental results, may require extra effort through detailed documentation and regular virtual check-ins. However, most organizations use collaborative tools like version control systems, project management platforms, and video conferencing to bridge these gaps, ensuring that research progress stays on track and team members remain aligned.
What job categories do people searching Remote Machine Learning Researcher jobs in Lanham, MD look for? The top searched job categories for Remote Machine Learning Researcher jobs in Lanham, MD are:
What cities near Lanham, MD are hiring for Remote Machine Learning Researcher jobs? Cities near Lanham, MD with the most Remote Machine Learning Researcher job openings:
Remote Machine Learning Researcher jobs near you

Principal AI & Machine Learning Engineer - U.S. Based Remote Opportunity

Common App

Arlington, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

ABOUT US
Do you have a passion for higher education? Do you want to make a positive impact on the college admissions process? Our staff help to remove barriers and encourage students to forge their path to a better future. Common App is a national not-for-profit organization dedicated to the pursuit of access, equity, and integrity in the college admission process. Each year we support more than 1 million students, one-third of whom are first-generation, as they apply to our more than 1100 diverse member colleges & universities using the Common App's free online application.
If you are an experienced Artificial Intelligence professional and want to be part of a mission-driven non-profit that uses innovative technology to advance the college admission process, Common App may be a great match for you. Common App is currently searching for a Principal AI & Machine Learning Engineer.
RESPONSIBILITIES
The Principal Artificial Intelligence (AI) & Machine Learning (ML) Engineer is the technical leader responsible for embedding artificial intelligence into enterprise workflows and analytic processes to drive measurable gains in productivity, insight generation, and decision support within the Data Analytics & Research (DAR) division. Highly regarded for exceptional performance and deep technical expertise, this role focuses on applied, production-ready AI/ML, driving groundbreaking initiatives that embed artificial intelligence into enterprise workflows
Reporting to the Senior Director, Analytics Engineering, the Principal AI/ML Engineer partners closely with Data Engineering, Data Governance, and cross-functional business stakeholders to ensure that AI solutions are scalable, secure, compliant, and aligned with enterprise data strategy. This role operates as a senior individual contributor and technical authority, setting standards for AI development practice, mentoring teammates on applied AI techniques, and translating complex machine learning capabilities into enterprise-grade systems that deliver lasting organizational value. The Principal AI/ML Engineer is a recognized expert in the field, frequently sought out for technical guidance, mentorship, and thought leadership both within the organization and across the broader AI and higher education data community.
Requirements
QUALIFICATIONS
This role requires:
  • Candidates must live in the United States.
  • Willing to travel to attend twice annual Common App Retreat.
  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related quantitative or technical field; or an equivalent combination of education and experience.
  • 8-10 years of progressive experience in machine learning, AI engineering, or data science, with at least 3 years focused on applied AI and production ML systems.
  • Demonstrated experience integrating LLMs and generative AI into enterprise analytic or operational workflows.
  • Demonstrated experience working within enterprise data governance and compliance frameworks.
  • Expertise in applied machine learning and AI, including supervised and unsupervised learning, natural language processing, and large language model integration (e.g., OpenAI, Anthropic, open-source LLMs via Hugging Face).
  • Demonstrated experience designing and deploying production-grade AI/ML systems, including end-to-end ML pipelines covering training, evaluation, versioning, deployment, and monitoring.
  • Proficiency in R and Python for machine learning and AI development; familiarity with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or equivalent.
  • Experience building and operationalizing LLM-powered applications, including prompt engineering, retrieval-augmented generation (RAG), and tool/agent orchestration frameworks.
  • Strong SQL skills and experience working with large-scale cloud data platforms (e.g., Databricks, Snowflake, BigQuery); ability to design AI-ready data pipelines within enterprise warehouse environments.
  • Knowledge of AI governance, responsible AI principles, and compliance considerations for AI systems handling sensitive or personally identifiable data.
  • Proven ability to serve as a senior technical individual contributor, setting standards, making architectural decisions, and mentoring peers without formal management authority.
  • Strong interpersonal and communication skills, with the ability to translate complex AI/ML concepts into accessible language for non-technical stakeholders and executive audiences.
  • Proven ability to manage multiple competing priorities and deliver high-quality AI solutions in a fast-paced, collaborative environment.

The ideal candidate will possess:
  • Master's or doctoral degree in Computer Science, Machine Learning, Data Science, or a related field.
  • Relevant AI/ML or cloud certifications (e.g., Databricks Certified Machine Learning Professional, AWS Machine Learning Specialty, or equivalent).
  • Experience working with Agile frameworks for cross-functional, product-minded collaboration.
  • Experience with agentic AI frameworks.
  • Familiarity with Databricks AI features, including MLflow, Model Serving, and Genie or semantic layer integrations.
  • Experience in higher education, nonprofit, or mission-driven technology contexts.
  • Advanced training in statistics, causal inference, or program evaluation methods.
  • A passion for higher education is a plus.

PAY RANGE
  • $144,160 - $162,180

Benefits
Common App is a virtual first environment. We value our employees' time and efforts. Our commitment to your success is enhanced by our competitive salary and an extensive benefits package including:
  • Work-Life balance
    • Virtual-first office
    • Paid Time Off (PTO)
    • Seven company-wide holidays
    • Nine floating holidays*
    • Sick leave
    • Monthly mental health day

*floating holidays prorated depending on start date
  • Virtual-first support
    • Choice of PC of MAC laptop
    • May choose an external monitor, keyboard, mouse, and/or headset
    • One-time office set-up stipend
    • Monthly remote work stipend
    • Monthly mobile stipend
  • Financial security
    • Market-based salaries
    • Performance-based bonus
    • 403(b) retirement plan
      • 5% company contribution
      • additional 5% company match
      • 3-year vesting schedule
      • Participation may begin immediately
  • Health & wellness
    • Choice of two health insurance plans
      • Health Savings Account, depending on health plan selection
      • Medical Flexible Savings Account, depending on health plan selection
    • Vision insurance
    • Dental insurance
    • Insurance coverage begins on the date of hire
    • Dependent Care Flexible Spending Account
    • Maven virtual clinic for women's and family health
    • Company provided life and ad&d insurance
    • Opportunity to purchase additional life insurance for self, spouse, and dependents
    • Company provided short and long-term disability insurance
  • Career development
    • Budgeted annual funds for professional development
    • Growth opportunities within the company
  • Additional perks
    • Mutual of Omaha Employee Assistance Program
    • Mutual of Omaha will preparation services
    • Mutual of Omaha travel assistance
    • Payroll dedication pet insurance through PinPaws
    • 1Password family account

We work to maintain the best possible environment for our staff, where people can learn and grow. We strive to provide a diverse, collaborative, team-oriented, creative environment where each person feels encouraged to contribute to our processes, decisions, planning, and culture.
HOW DO I APPLY
To apply for this opportunity, send your resume and cover letter with salary expectations.
PROTECTING YOUR PERSONAL INFORMATION:
During the recruiting process, please note that Common App will never:
  • Provide a job offer without an interview
  • Ask for payment to process documents, purchase equipment or for any other reason
  • Request banking or credit card information
  • Direct you to third-party services to obtain visas or other documentation

As we work alongside you through our recruitment process, please remain alert and never provide financial information or payment to anyone claiming to offer a job opportunity.
If you believe you're a victim of a job scam, report it to the Federal Trade Commission (FTC) or your state attorney general. To learn more about job scams, read the FBI's public service announcement or visit the FTC site.

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