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Machine Learning Developer Intern Jobs in Seattle, WA

Machine Learning Engineer II

Seattle, WA ยท On-site

$159 - $255/hr

In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production ...

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Machine Learning Engineer

Seattle, WA ยท On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... Interface closely with the Backend and DevOps teams as well as with our internal data labeling ...

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... Interface closely with the Backend and DevOps teams as well as with our internal data labeling ...

Machine Learning Engineer

Bellevue, WA ยท On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer (MLE) to join us. CreativeX is on a mission to enable ...

The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer (MLE) to join us. CreativeX is on a mission to enable ...

Machine Learning Engineer, SIML

Seattle, WA ยท 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 ...

Staff Machine Learning Engineer

Seattle, WA ยท On-site

$208 - $260/hr

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 ...

Showing results 21-40

Machine Learning Developer Intern information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

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

As of Aug 20, 2026, the average yearly pay for machine learning developer intern in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 per year, depending on experience, location, and employer.

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities near Seattle, WA are hiring for Machine Learning Developer Intern jobs?

Cities near Seattle, WA with the most Machine Learning Developer Intern job openings:

Machine Learning Engineer II

Capital-Group-1

Seattle, WA โ€ข On-site

$159 - $255/hr

Other

Medical, Life, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

โ€œI can be myself at work.โ€You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniquenessโ€”and weโ€™re committed to fostering a strong sense of belonging in a respectful workplace.We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.โ€œI can influence my income.โ€You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. Youโ€™ll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.โ€œI can lead a full life.โ€You bring unique goals and interests to your job and your life. Whether youโ€™re raising a family, youโ€™re passionate about where you volunteer, or you want to explore different career paths, weโ€™ll give you the resources that can set you up for success.Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work optionsReceive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you loveAccess on-demand professional development resources that allow you to hone existing skills and learn new onesโ€œI can succeed as a Machine Learning Engineer at Capital Groupโ€As a Machine Learning Engineer at Capital Group, you will create, research, implement, and maintain state of the art machine learning models, data pipelines, and analytical systems to significantly enhance our investment processes and outcomes. You will conduct applied research into financial modeling to help our investment professionals make better decisions. In this role, you will collaborate directly with senior investment professionals and fellow technology associates to enhance our investment process through the use of state-of-the art ML techniques.In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production, including machine learning systems, data pipelines, financial models, and generative AI systems. We are seeking a candidate who has hands-on experience architecting and delivering working systems and who is passionate about leveraging modern machine learning and software engineering innovations to produce superior long-term investment outcomes.โ€œI am the person Capital Group is looking for.โ€You will design, research, build, deliver and operate machine learning systems, data pipelines, and financial models which demonstrably improve the efficiency and effectiveness of CGโ€™s investment process by making investment decisions.You successfully research, train, evaluate and deploy models for financial modeling and data analysis from inception to deployment and operation.You uphold a high standard of quality in your work, ensuring integrity in both form and function.You write clear, efficient, and performant code.You collaborate effectively to support team strategy, contributing to decisions regarding modeling and technology.You proactively identify and tackle the root causes of endemic modeling problems, collaborating with cross-functional teams to implement sustainable solutions.You work with a sense of urgency, and design and build simple and pragmatic solutions which solve complex problems.Qualifications:You have 3+ years of experience with Python and SQL. Strong object-oriented or functional design skills with understanding of common design patterns.You have a demonstrated track record in one or more machine learning subfield relevant to financial modeling, such as time series analysis, quantitative modeling, optimization, anomaly detection, or predictive analytics.You have experience solving โ€œfull stackโ€ machine learning problems, from data collection and ETL development to model training and deployment, and experience using machine learning to solve real business problems in finance or investment management.You are strong communicator with the ability to establish and maintain a close working relationship with distributed team members and business partners.You possess strong computer science fundamentals including data structures, algorithms, and complexity analysis.You have knowledge of software engineering best practices (e.g. Agile software development, test-driven development, unit testing, code reviews, design documentation).You have a track record of successfully delivering enterprise-grade models into production.You have experience with AWS services (S3, containers โ€“ ECS & EKS, Lambda) preferred.โ€œI can apply in less than 4 minutes.โ€Youโ€™ve reviewed this job posting and youโ€™re ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isnโ€™t what youโ€™re looking for, check out our other opportunities and join our talent community.โ€œI can learn more about Capital Group.โ€At Capital Group, the success of the people who invest with us depends on the people in whom we invest. Thatโ€™s why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve peopleโ€™s lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.Southern California Base Salary Range: $159,354-$254,966Seattle Base Salary Range: $159,354-$254,966In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capitalโ€™s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.You can learn more about our compensation and benefits here.Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law. #J-18808-Ljbffr