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Freelance Applied Scientist Machine Learning Jobs

Adobe

Senior Applied Scientist

San Jose, CA · On-site

$107.20K - $146.50K/yr

Adobe Firefly's Applied Science & Machine Learning (ASML) group invites an Applied Scientist / Machine Learning Engineer passionate about post-training and distillation of large generative AI models ...

Adobe

Senior Applied Scientist

Seattle, WA · On-site

$104.10K - $142.30K/yr

Adobe Firefly's Applied Science & Machine Learning (ASML) group invites an Applied Scientist / Machine Learning Engineer passionate about post-training and distillation of large generative AI models ...

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 roleFamiliarity with a brand range of quasi ...

AEG

Data Scientist, Machine Learning

Orlando, FL · On-site

The Data Scientist, Machine Learning will support Basketball Operations by developing and deploying ... applied machine learning techniques, with fluency across tree-based methods, deep learning, and ...

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 · On-site

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 ...

Apple

Applied ML Science Manager

Cupertino, CA

$198.30K - $342.80K/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 ...

Fuze Health

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 ...

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 ...

Amat

Physicist/Scientist Machine Learning

Santa Clara, CA · On-site +1

$138K - $190K/yr

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce ... PhDlevel scientist or engineer to develop and apply machine learning-based models using data ...

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Freelance Applied Scientist Machine Learning information

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.

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 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.

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Freelance Applied Scientist Machine Learning jobs near you
Infographic showing various Freelance Applied Scientist Machine Learning job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.
Senior Applied Scientist

Senior Applied Scientist

Adobe

San Jose, CA • On-site

$107.20K - $146.50K/yr

Full-time

Posted yesterday

Job description

Adobe is dedicated to changing the world through digital experiences. We offer everything needed to build and deliver outstanding experiences to everyone-from emerging artists to global brands. We are passionate about enabling people to develop beautiful images, videos, and apps. We also help companies change how they connect with customers across all screens. Our mission is to hire top talent and build outstanding employee experiences with respect and equal opportunity for all.New ideascan come from anywhere in our organization, including from you.
Adobe Firefly's Applied Science & Machine Learning (ASML) group invites an Applied Scientist / Machine Learning Engineer passionate about post-training and distillation of large generative AI models to join the team. This role will focus on raising the quality, efficiency, anddeployabilityof Adobe's generative models for images and videos. The chosen candidate will collaborate with researchers and engineers to build and refine post-training pipelines such as supervised fine-tuning (SFT), preference optimization, and model distillation. These efforts willfacilitateadapting large complex models into efficient production versions.
This role influences the performance and scalability of Firefly's generative AI systems,facilitatingnext-generation creative functionalities for millions of users. As an Applied Scientist at Adobe, you will join a distinguished team of applied researchers and engineers committed to developing and improving generative AI systems. You will work alongside data, modeling, and infrastructure groups to implement post-training upgrades into production systems that support Adobe products.
Job Responsibilities

  • Develop and run distillation pipelines to transfer capabilities from large teacher models into smaller, efficient student models.

  • Carry out and refine post-training methods including supervised fine-tuning (SFT), preference optimization (DPO/GRPO), and reward-based learning.

  • Build infrastructure and tools for teacher rollout creation, distillation data pipelines, and training workflows.

  • Carry out experiments aimed at improving model quality, efficiency, and instruction alignment for generative AI models.

  • Collaborate closely with research scientists to convert research ideas into scalable training pipelines and production-ready implementations.

  • Evaluate models using both automated metrics and human preference signals to guide post-training improvements.

  • Optimizemodels for deployment efficiency, including distillation, model compression, and inference performance.

  • Collaborate with various groups such as data, research, and product units to incorporate post-training improvements into Adobe Firefly systems.

What you need to succeed

  • Expertisein machine learning algorithms and model distillation techniques

  • Strong programming skills in Python or similar languages

  • Experience with AI model training and optimization

  • Preferred qualifications: Advanced degree or relevant experience in a related field, background in large-scale data pipelines, and knowledge of Adobe products.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $142,700 -- $270,950 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $187,100 - $270,950 In Washington, the pay range for this position is $168,600 - $244,200

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982

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