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Machine Learning Engineer Intern Jobs in Redmond, WA

Machine Learning Engineer

Seattle, WA · On-site

$93K - $125K/yr

We are looking for a Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation, building ...

Proficient in JAVA & Python programming * Understanding of topic modelling, supervised & unsupervised machine learning * Plan the project milestones, resourcing and work distribution * Execute ...

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning ...

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of ...

Machine Learning Engineer, SIML

Seattle, WA · On-site

$139.50 - $258.10/hr

Description We are seeking a machine learning research engineer with experience building modern generative models based on diffusion and auto-regressive technologies. The ideal candidate has solid ML ...

Senior Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that keeps NVIDIA's global DGX Cloud healthy, efficient and ready for the next waves of AI breakthroughs.

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to ...

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

Senior Machine Learning Engineer Why We Have This Role We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to ...

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

We are seeking an analytical and innovative Machine Learning Engineer to join our Data & AI team. You will play a key role in developing and deploying advanced machine learning models to solve real ...

Showing results 21-40

Machine Learning Engineer Intern information

See Redmond, WA salary details

$28.6K

$47.7K

$98.6K

How much do machine learning engineer intern jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning engineer intern in Redmond, WA is $47,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,400.00 and $51,500.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Redmond, WA? The most popular types of Machine Learning Engineer jobs in Redmond, WA are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Redmond, WA? For Machine Learning Engineer Intern jobs in Redmond, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Redmond, WA look for? The top searched job categories for Machine Learning Engineer Intern jobs in Redmond, WA are:
What cities near Redmond, WA are hiring for Machine Learning Engineer Intern jobs? Cities near Redmond, WA with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer Intern job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $47,691 per year, or $22.9 per hour.

Machine Learning Engineer

Adobe

Seattle, WA • On-site

$93K - $125K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies


Job description

We are looking for a Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation, building data pipelines, prototype creation, and operationalization.
The ideal candidate will have a strong background in both classical and deep learning, along with experience developing and deploying production-ready ML and GenAI solutions. If you enjoy shipping impactful, customer-facing features, experimenting with new technologies, and contributing to high-visibility projects with room for creativity and ownership, this role is for you. Our work is dynamic, collaborative, and data-driven.
What You'll Do

  • Bring a 01 product mindset, helping shape ideas into real, measurable impact.

  • Design, build, and optimize backend services that power ML and Generative AI features.

  • Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches.

  • Contribute to agentic systems and orchestration frameworks that enable intelligent, multi-step reasoning and task automation.

  • Collaborate with cross-functional teams to integrate ML solutions into production workflows.

  • Analyze and improve the efficiency, accuracy, and scalability of AI-enabled systems.

  • Stay up to date with advancements in ML, GenAI, and prompt optimization research.

  • Mentor junior engineers and help grow the team's technical depth.


What You Need to Succeed
Required Qualifications

  • Master's or Ph.D. in Computer Science, Machine Learning, or a related technical field.

  • 5+ years of experience in machine learning engineering, applied research, or production ML systems.

  • Strong Python software engineering skills, including system design, clean architecture, testing, CI/CD, version control, and code review best practices.

  • Experience taking ML-powered features from 01 through production and ongoing iteration.

  • Hands-on experience deploying and monitoring ML models in production environments.

  • Experience designing or contributing to agentic architectures and multi-agent orchestration systems.

  • Strong understanding of classical ML, deep learning, and modern Generative AI techniques.

  • Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable ML deployment.

  • Solid foundation in data structures, algorithms, and distributed system design.

  • Comfortable leveraging AI coding agents to accelerate development workflows.

  • Excellent communication skills and demonstrated technical leadership experience.


Preferred Qualifications

  • Experience with Generative AI systems, prompt optimization frameworks, and LLM-as-a-judge / evaluation methodologies.

  • Deep understanding of Retrieval-Augmented Generation (RAG) and modern NLP pipelines.

  • Experience with MLOps tooling, experiment tracking, model lifecycle management, and observability frameworks.

  • Track record of mentoring engineers and influencing technical direction on high-visibility projects.

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 $125,600 -- $234,150 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 $161,700 - $234,150 In Washington, the pay range for this position is $142,500 - $206,275

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

There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

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.


What Adobe employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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