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Machine Learning Startup Jobs in Seattle, WA (NOW HIRING)

... startup focused on providing computing infrastructure to remote areas. They are seeking an AI Engineer to unlock the potential of AI and tackle challenges in real-time analytics and machine learning ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... You enjoy working at the very cutting edge of R&D * You want to experience an early stage startup ...

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... You enjoy working at the very cutting edge of R&D * You want to experience an early stage startup ...

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Machine Learning Startup information

See Seattle, WA salary details

$29K

$48.4K

$100.1K

How much do machine learning startup jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning startup in Seattle, WA is $48,441.00, 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 key skills and qualifications needed to thrive in the Machine Learning Startup position, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the typical responsibilities and daily challenges when working at a Machine Learning Startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What is a Machine Learning Startup job?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are popular job titles related to Machine Learning Startup jobs in Seattle, WA? For Machine Learning Startup jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Startup jobs in Seattle, WA look for? The top searched job categories for Machine Learning Startup jobs in Seattle, WA are:
Infographic showing various Machine Learning Startup job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $48,441 per year, or $23.3 per hour.
Sr. GenAI Strategist - Startups, Generative AI Innovation Center

Sr. GenAI Strategist - Startups, Generative AI Innovation Center

Amazon

Seattle, WA • On-site, Remote

Full-time

Re-posted 12 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,965 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon Web Services (AWS) is looking for an experienced and motivated senior business-oriented technologist who possesses a unique balance of startup ecosystem knowledge, effective interpersonal skills, and technological depth in the following areas: analytics/big data, machine learning, and generative artificial intelligence. This senior role will focus on supporting startup customers looking to accelerate their growth, achieve product-market fit, or enhance their business outcomes through the use of advanced and emerging generative AI technologies.
You will partner with startup founders, CTOs, venture capital firms, AWS Startup Sales, AWS service teams, AWS industry teams, and AWS Professional Services delivery teams to craft startup-specific programs that address the unique constraints and opportunities of high-growth companies - speed to market, capital efficiency, and scalable architecture from day one. You will extend successful patterns across the startup portfolio and into adjacent segments.
You will leverage and refine a programmatic approach to help startup customers drive their business metrics across a set of startup-specific needs including inference cost optimization, rapid prototyping, go-to-market acceleration, and investor-ready AI roadmaps

As a trusted senior startup advocate, the Senior GenAI Startup Strategist will assess and deliver best practices around program delivery, lean project approaches, and business measurement tailored to the pace and resource profile of startups. The ability to connect business value to a scalable, repeatable, extensible approach - while respecting the speed and agility startups demand - is critical to this senior role.
Key job responsibilities
- Bring alignment between startup founders, technical leaders, and business stakeholders; help them explore the art of the possible with generative AI and machine learning, and develop a roadmap to deliver business value with startup-appropriate speed and capital efficiency
- Serve as a senior thought leader within the team, mentoring junior strategists and shaping the overall startup engagement methodology
- Discuss complex AI/ML business concepts with startup executives, VCs, and technical founders across stages from seed to growth
- Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, startup specialists, partners, and regional organizations
- Drive strategic engagements with high-potential startups from ideation, through vision building and scoping, all the way to closure and into delivery
- Identify repeatable generative AI patterns across the startup portfolio and codify them into scalable programs and frameworks
- Conduct workshop sessions with startup customers to identify opportunities for delivering business value through generative AI or machine learning, with an emphasis on rapid time-to-value
- Build relationships with the VC and accelerator ecosystem to source and support AI-native startups on AWS
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply

If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection

Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer

That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture.

When we feel supported in the workplace and at home, there's nothing we can't achieve.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US