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Freelance Applied Scientist Machine Learning Jobs in Washington

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Freelance Applied Scientist Machine Learning information

How do freelance applied scientists in machine learning typically collaborate with clients and teams remotely?

Freelance applied scientists in machine learning often work remotely, communicating with clients and teams through regular video calls, messaging platforms, and project management tools. Collaboration usually involves understanding client requirements, clarifying data needs, and providing frequent updates on project progress. Since projects may require input from software engineers, data analysts, or product managers, strong communication skills and the ability to document work clearly are crucial. Freelancers also need to proactively manage their schedules and expectations, as they frequently juggle multiple projects or stakeholders at once.

What are the key skills and qualifications needed to thrive as a freelance applied scientist in machine learning?

To excel as a Freelance Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, typically supported by an advanced degree and strong programming skills in Python or similar languages. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and data analysis tools is essential, along with relevant certifications like TensorFlow Developer or AWS Machine Learning. Strong problem-solving abilities, self-motivation, and effective communication are crucial for managing projects independently and collaborating with diverse clients. These skills enable successful delivery of high-impact solutions tailored to client needs, ensuring both technical excellence and client satisfaction.

What does a freelance applied scientist in machine learning do?

A Freelance Applied Scientist in Machine Learning is a professional who independently works with clients or organizations to design, develop, and implement machine learning models and solutions. Their responsibilities typically include data analysis, building predictive models, and translating business problems into data-driven solutions. They may also be involved in researching new algorithms, optimizing existing models, and communicating findings to stakeholders. Since they work on a freelance basis, they often manage multiple projects and clients simultaneously.

What is the difference between Freelance Applied Scientist Machine Learning vs Freelance Data Scientist?

AspectFreelance Applied Scientist Machine LearningFreelance Data Scientist
CredentialsAdvanced degrees in ML, AI, or related fieldsDegrees in Data Science, Statistics, or related fields
Work EnvironmentFocus on developing ML models, algorithms, and AI solutionsData analysis, visualization, and statistical modeling
Industry UsageUsed in AI-driven products, research, and advanced analyticsApplied in business insights, reporting, and data-driven decision making

Freelance Applied Scientist Machine Learning professionals specialize in developing and deploying machine learning models and AI solutions, often requiring advanced technical credentials. Freelance Data Scientists focus on analyzing data, creating reports, and deriving insights, with a broader scope of statistical skills. Both roles are in high demand but serve different purposes within data and AI projects.

What are the most commonly searched types of Applied Scientist Machine Learning jobs in Washington?

The most popular types of Applied Scientist Machine Learning jobs in Washington are:

What are popular job titles related to Freelance Applied Scientist Machine Learning jobs in Washington?

For Freelance Applied Scientist Machine Learning jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Freelance Applied Scientist Machine Learning jobs in Washington look for?

The top searched job categories for Freelance Applied Scientist Machine Learning jobs in Washington are:

What cities in Washington are hiring for Freelance Applied Scientist Machine Learning jobs?

Cities in Washington with the most Freelance Applied Scientist Machine Learning job openings:

Infographic showing various Freelance Applied Scientist Machine Learning job openings in Washington as of July 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Sr. Applied Scientist, Amazon Cyber Threat Intelligence

Amazon

Annapolis Junction, MD • On-site

$100K - $137K/yr

Full-time

Re-posted 15 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,093 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

We are seeking a Senior Applied Scientist to pioneer the application of artificial intelligence and machine learning to cyber threat intelligence at Amazon scale. In this role, you will invent and deploy novel AI/ML systems that automate threat detection, accelerate intelligence analysis, and enable proactive defense capabilities. You will work on ambiguous, scientifically-complex problems where traditional engineering approaches fall short-from building predictive models that score threat likelihood against Amazon's specific attack surface, to developing graph neural networks that cluster adversary infrastructure, to creating LLM-powered systems that multiply analyst productivity.
This is a unique opportunity to bring scientific rigor to one of the most consequential problem domains in technology-protecting hundreds of millions of customers and the infrastructure that powers the global economy

You will be the first Applied Scientist embedded within ACTI, establishing the science agenda and building the foundation for AI-driven threat intelligence at Amazon.
This position requires that the candidate selected be a US Citizen.
Key job responsibilities
Invent
Identify, frame, and solve scientifically-complex threat intelligence problems where no textbook solutions exist-including threat scoring, malware classification, infrastructure clustering, and intelligence automation
Drive the scientific agenda for AI/ML within ACTI by proposing research initiatives, defining success metrics, and securing management buy-in
Extend and invent machine learning techniques for cybersecurity applications, including anomaly detection on noisy data, few-shot learning for emerging threat families, and graph-based reasoning over attacker infrastructure
Publish research at peer-reviewed venues (e.g., USENIX Security, IEEE S&P, ACM CCS, NeurIPS workshops)
Implement
Design, build, and deploy production AI/ML systems that process threat data at scale-from model training on petabyte-scale security logs to real-time inference serving millions of predictions daily
Partner with ACTI engineering teams to integrate AI/ML models into existing intelligence platforms
Develop end-to-end solutions including data pipelines, feature engineering, model training, evaluation frameworks, and production monitoring
Write production-quality code and deploy models with operational excellence-reliability, maintainability, and cost efficiency
Influence
Influence across multiple ACTI sub-teams and partner organizations
Build consensus on scientific approaches, balancing analytical rigor with operational urgency inherent to threat intelligence
Mentor security engineers and analysts on AI/ML concepts, helping the broader ACTI team develop data literacy and scientific thinking
Represent ACTI in Amazon's internal science community and contribute to the broader information security research ecosystem
About the team
Amazon Cyber Threat Intelligence (ACTI) is responsible for identifying, curating, and reporting timely, accurate, and actionable threat intelligence to protect Amazon's global businesses and customers. We investigate, analyze, and defend against sophisticated cyber threats across all Amazon business lines-AWS, retail, entertainment, logistics, and corporate infrastructure. Our intelligence products serve Amazon and AWS leadership, service teams, partners, and both internal and external customers.
ACTI operates within Amazon's broader security organization led by the Chief Security Officer

We deliver intelligence that enables proactive defense, informs security investment decisions, and supports incident response across the world's largest cloud infrastructure.
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences

Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive Team Culture
In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness

Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture

When we feel supported in the workplace and at home, there's nothing we can't achieve.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US