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Freelance Applied Scientist Machine Learning Jobs

Apple

Applied ML Science Manager

Cupertino, CA · On-site

We are currently seeking an experienced and passionate Applied ML Science Manager to lead a dynamic ... Scientist, Machine Learning, or Data Scientist role Familiarity with a brand range of quasi ...

Apple

Applied ML Science Manager

Cupertino, CA

$198K - $342K/yr

Description As an Applied ML Science Manager, you will have the responsibility of leading a highly ... Scientist, Machine Learning, or Data Scientist role Familiarity with a brand range of quasi ...

Amazon

Applied Scientist

Seattle, WA

Are you a MS or PhD student interested in a 2024 Applied Science Internship in the fields of Speech, Robotics, Computer Vision, or Machine Learning/Deep Learning? Do you enjoy diving deep into hard ...

Amazon

Applied Scientist

Seattle, WA

Are you a MS or PhD student interested in a 2024 Applied Science Internship in the fields of Speech, Robotics, Computer Vision, or Machine Learning/Deep Learning? Do you enjoy diving deep into hard ...

Fuze Health

OR · On-site

As a Applied Scientist, you will lead the end-to-end development of advanced machine learning solutions, guiding initiatives from ideation through production, and mentoring peers across the ...

Viant Technology

Staff Applied Scientist

Irvine, CA · On-site

Viant Technology is transforming the Ad Tech industry through machine learning and AI-driven automation. They are seeking a Staff Applied Scientist to lead AI strategy and drive innovation in applied ...

Viant Technology

Staff Applied Scientist

Irvine, CA · On-site

$180K - $220K/yr

WHAT YOU'LL DO Viant's Machine Learning team is at the forefront of transforming the Ad Tech ... We are seeking an exceptional Staff Applied Scientist to drive groundbreaking innovation in applied ...

Relativity

Principal Applied Scientist

Washington, DC · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

Adobe

Applied Scientist 3

San Jose, CA · On-site

Adobe is dedicated to changing the world through digital experiences and is seeking an Applied Scientist to join their Firefly's Applied Science & Machine Learning group. This role focuses on ...

Relativity

Principal Applied Scientist

Chicago, IL · On-site

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

Adobe

Senior Applied Scientist

San Jose, CA · On-site

$107K - $146K/yr

Adobe is dedicated to changing the world through digital experiences, and they are seeking a Senior Applied Scientist to join their Applied Science & Machine Learning group. The role focuses on ...

ISEE

Research Scientist - Machine Learning

Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied ... in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical ...

Strayos

$13 - $17.50/hr

Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science ...

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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, and why are they important?

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.

More about Freelance Applied Scientist Machine Learning jobs
What cities are hiring for Freelance Applied Scientist Machine Learning jobs? Cities with the most Freelance Applied Scientist Machine Learning job openings:
What are the most commonly searched types of Applied Scientist Machine Learning jobs? The most popular types of Applied Scientist Machine Learning jobs are:
What states have the most Freelance Applied Scientist Machine Learning jobs? States with the most job openings for Freelance Applied Scientist Machine Learning jobs include:
What job categories do people searching Freelance Applied Scientist Machine Learning jobs look for? The top searched job categories for Freelance Applied Scientist Machine Learning jobs are:
Freelance Applied Scientist Machine Learning jobs near you
Infographic showing various Freelance Applied Scientist Machine Learning job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, and 8% Nights. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.
Applied ML Science Manager

Applied ML Science Manager

Apple

Cupertino, CA • On-site

Full-time

Posted 21 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Data Science & Analytics organization is passionate about developing discerning insights and AIML solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.
We are currently seeking an experienced and passionate Applied ML Science Manager to lead a dynamic team, whose goal is to provide innovative products at the intersection of causal inference, statistics, and machine learning to help drive key business decisions and optimize marketing channels, via observational testing frameworks, counterfactual modeling, and lifetime value estimation. As a key member of our diverse organization, you'll have the rare and rewarding opportunity to work with datasets of unique magnitude, richness, and dedication to privacy that will frequently require novel approaches. You'll work alongside partners across Business, Marketing, Product, Finance, and Engineering daily to deliver material customer and business value.
Description
As an Applied ML Science Manager, you will have the responsibility of leading a highly talented team of scientists and engineers dedicated to pushing the boundaries of how Causal Inference and AIML can be leveraged to better serve our customers, focusing on Services such as Apple TV, Apple Music, Apple One, and the App Store. You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference solutions, that directly impact our products and provide a granular understanding of key business initiatives and marketing effectiveness. You will also be instrumental in defining the technical vision, strategy, and execution roadmap for our AIML initiatives, ensuring that we deliver high-quality, scalable, and impactful models that solve complex customer acquisition and engagement challenges. Beyond technical leadership, you will be a key driver in fostering a vibrant culture of innovation, continuous learning, and collaborative problem-solving within your team.
Minimum Qualifications
Master's degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field
3+ years of experience in a leadership or management role, leading Applied Scientists, Machine Learning Engineers and Data Scientists
5+ years of experience as an Applied Scientist, Machine Learning, or Data Scientist role
Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression discontinuity design, interrupted time series, and propensity score matching
Working knowledge of Marketing Mix models and validation through Matched Market testing
Practical expertise leveraging Customer Lifetime Value models to drive business decision-making
Solid understanding of AIML technologies including Generative AI
Proven track record of successfully delivering complex projects from start to finish
Proficiency in programming languages such as Python, R, SQL, Java, or C++
Experience with cloud platforms, Spark, Docker, and MLOps tools and best practices
Excellent communication, collaboration, and presentation skills with meticulous attention to detail
Preferred Qualifications
PhD in related field
Hands-on experience leveraging Generative AI to improve productivity and generate new insights
Curious business attitude with an ability to condense complex concepts and models into clear and concise takeaways that drive action

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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