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Remote Applied Intelligence Jobs in Washington (NOW HIRING)

BlackSky

Staff Engineer, AI

Herndon, VA · On-site +1

BlackSky is a real-time intelligence company. We own and operate the world's most advanced space ... Experience working with remote sensing imagery including geometry, radiometric normalization ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$48K - $98K/yr

Remote Work: No Job Number: R0246169 Location: Washington,DC,US Share job via: Share Data Scientist ... Knowledge of DoD Intelligence processes, activities, standards, and analytic tools * Ability to ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$48K - $98K/yr

Remote Work: No Job Number: R0246054 Location: Washington,DC,US Share job via: Share Data Scientist ... Knowledge of DoD intelligence processes, activities, standards, and analytic tools * Ability to ...

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... This role blends remote sensing science with applied data engineering and AI. What You'll Do:

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... This role blends remote sensing science with applied data engineering and AI. What You'll Do:

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic ... This role blends remote sensing science with applied data engineering and AI. What You'll Do:

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Remote Applied Intelligence information

What are some common challenges faced by professionals in remote applied intelligence roles, and how can they be addressed?

Remote Applied Intelligence professionals often encounter challenges such as ensuring effective collaboration across distributed teams, maintaining clear communication with stakeholders, and managing data security when working with sensitive information offsite. To address these issues, it's important to use secure, cloud-based collaboration tools, establish regular check-ins with colleagues, and follow best practices for data privacy. Staying proactive about communication and leveraging project management platforms can help remote team members stay aligned and productive.

What is a remote applied intelligence?

A Remote Applied Intelligence job involves leveraging artificial intelligence, machine learning, data analytics, and related technologies to solve business problems and drive decision-making, all while working from a remote location. Professionals in this field analyze large data sets, build predictive models, and develop intelligent solutions that can optimize processes, improve customer experiences, or uncover new business opportunities. The 'remote' aspect means the work is performed outside of a traditional office, offering flexibility and the ability to collaborate with global teams using digital tools.

What are the key skills and qualifications needed to thrive as a remote applied intelligence professional, and why are they important?

To excel as a Remote Applied Intelligence professional, you need a solid background in data analysis, machine learning, and statistical modeling, often supported by a degree in computer science, statistics, or a related field. Proficiency in technical tools such as Python, R, SQL, cloud computing platforms, and relevant AI or data science certifications is highly valued. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These competencies enable professionals to extract actionable insights from data, drive innovation, and succeed in a distributed work environment.
What are the most commonly searched types of Applied Intelligence jobs in Washington? The most popular types of Applied Intelligence jobs in Washington are:
What are popular job titles related to Remote Applied Intelligence jobs in Washington? For Remote Applied Intelligence jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Applied Intelligence jobs in Washington look for? The top searched job categories for Remote Applied Intelligence jobs in Washington are:
What cities in Washington are hiring for Remote Applied Intelligence jobs? Cities in Washington with the most Remote Applied Intelligence job openings:
Remote Applied Intelligence jobs near you
Infographic showing various Remote Applied Intelligence job openings in Washington as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

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 4 days ago

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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