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

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

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 ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

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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Showing results 21-40

All JobsMachine Learning Startup JobsMachine Learning Startup Jobs in Seattle, WA

Machine Learning Startup information

See Seattle, WA salary details

$29K

$48.5K

$100.2K

How much do machine learning startup jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning startup in Seattle, WA is $48,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,400.00 per year, depending on experience, location, and employer.

What is a machine learning startup?

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 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 are the key skills and qualifications needed to thrive in a machine learning startup, 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 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:

Machine Learning Startup jobs near you
Infographic showing various Machine Learning Startup job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $48,489 per year, or $23.3 per hour.

ML Inference Optimization Engineer

Recruiting from Scratch

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Recruiting from Scratch is representing a dynamic startup focused on developing cutting-edge visual conversational AI. They are seeking an ML Inference Optimization Engineer to design and implement algorithms that enhance the performance of AI models and collaborate with cross-functional teams to integrate machine learning solutions into product offerings.
Responsibilities:
• Design and implement ML inference optimization algorithms to enhance the performance of AI models.
• Collaborate with cross-functional teams to integrate machine learning solutions into product offerings.
• Analyze and improve existing models using Python and PyTorch to ensure high efficiency and accuracy.
• Develop and maintain robust testing frameworks to validate model performance in real-time applications.
• Monitor and troubleshoot production systems to ensure seamless operation and user experience.
Qualifications:
Required:
• 2+ years of experience in machine learning engineering or a related field.
• Proficiency in Python and experience with PyTorch for model development and optimization.
• Strong understanding of machine learning principles and best practices.
• Experience working in a collaborative, fast-paced environment with a focus on innovation.
Preferred:
• Familiarity with visual conversational AI technologies or similar applications.
• Experience with model deployment and monitoring in production environments.
• Knowledge of additional machine learning frameworks or libraries.
Company:
A recruiting agency working with technology companies to help them hire software engineers, data roles, product managers, and hardware. Founded in 2021, the company is headquartered in Albany, USA, with a team of 11-50 employees. The company is currently Early Stage.
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About Recruiting from Scratch

Sourced by ZipRecruiter

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

Year founded

2021

Social media

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