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Startup Machine Learning Intern Jobs in Seattle, WA

You enjoy working at the very cutting edge of R&D * You want to experience an early stage startup ... NLP), machine translation, self-supervised learning, active learning, computer vision, statistics ...

We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer ... You'll design and scale the core infrastructure that powers machine learning and self-hosted large ...

New

About Scowtt Scowtt is an early-stage startup transforming the way businesses convert leads into ... About the Role We are looking for a Staff+ Machine Learning Engineer to lead and evolve the ML ...

About Scowtt Scowtt is an early-stage startup transforming the way businesses convert leads into ... About the Role We are looking for a Staff+ Machine Learning Engineer to lead and evolve the ML ...

Machine Learning Engineer

Seattle, WA · On-site

$120 - $190/hr

Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and ... We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ...

Showing results 21-40

Startup Machine Learning Intern information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

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

As of Aug 11, 2026, the average yearly pay for startup machine learning 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 are the typical responsibilities of a startup machine learning intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

What does a startup machine learning intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

What are the key skills and qualifications needed to thrive as a startup machine learning intern, and why are they important?

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

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

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

What are the most commonly searched types of Startup Machine Learning jobs in Seattle, WA? The most popular types of Startup Machine Learning jobs in Seattle, WA are:
What are popular job titles related to Startup Machine Learning Intern jobs in Seattle, WA? For Startup Machine Learning Intern jobs in Seattle, WA, the most frequently searched job titles are:
Infographic showing various Startup Machine Learning Intern job openings in Seattle, WA as of August 2026, with employment types broken down into 34% Internship, 40% Full Time, 8% Part Time, 6% Temporary, and 12% Contract. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $48,461 per year, or $23.3 per hour.

Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance) - 2027 Start (PhD)

TikTok

Seattle, WA • On-site

$153K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

107th of 242 rated software companies


Job description

Responsibilities
The E-commerce Alliance team connects merchants and creators across the TikTok Shop ecosystem. We help merchants achieve their business goals by building intelligent and automated affiliate operation tools, while providing creators with efficient and highly personalized product recommendations that make it easier to discover the right products and create high-quality content. By improving merchant-creator matching, recommendation, search, and end-to-end collaboration efficiency, we aim to expand merchants' marketing opportunities, increase creators' monetization potential, and deliver a more engaging and personalized shopping experience to TikTok users. Our team works on large-scale recommendation and search systems, intelligent affiliate operations, creator and product understanding, and machine learning solutions that impact commerce growth. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Responsibilities: - Design and build cutting-edge machine learning, recommendation, and ranking algorithms to power large-scale e-commerce recommendation systems that deliver high-quality, real-time product recommendations for millions of users. - Develop AI-powered merchant operation systems and AI agents that help merchants optimize affiliate strategies, improve business ROI, and lower the barrier to growing their business through automation. - Apply state-of-the-art LLMs , NLP, and multimodal machine learning to discover new business opportunities , driving sustainable growth for both merchants and creators. - Collaborate closely with product managers, engineers, and cross-functional teams to bring innovative AI solutions from research to production. - Stay at the forefront of advances in AI and machine learning, rapidly prototyping and productionizing new technologies to shape the future of intelligent commerce. - Build ML-agents to automate algorithm development workflows, accelerating experimentation, model iteration, evaluation, and deployment.
Qualifications
Minimum Qualifications: - Individuals who are completing or have recently completed a PhD degree in Computer Science, Engineering, Operations Research or a related discipline. - Thorough understanding understanding of data structures and algorithms, with excellent problem-solving ability. - Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineering Preferred Qualifications: - Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications - Internship experience or research experience, especially in e-commerce, recommendation, search engine - Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI. - Curiosity toward new technologies and entrepreneurship - High levels of creativity and quick problem-solving capabilities
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $153900 - $300960 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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