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Machine Learning Jobs in Seattle, WA (NOW HIRING)

SAP

Machine Learning Engineer

Bellevue, WA · On-site

As a Machine Learning Engineer, you will design and maintain AI solutions for customer support, collaborating with a team to enhance SAP's support offerings. Responsibilities : • Design, train, and ...

Snapchat

Machine Learning Engineer, Level 4

Seattle, WA · On-site

We're looking for a Machine Learning Engineer to join Snap Inc! What you'll do: * Build and deploy machine learning models that power core products, serving millions of Snapchatters * Apply modern ML ...

Adobe

Machine Learning Engineer

Seattle, WA

$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 ...

Apple

AIML - Machine Learning Engineer, MIND

Seattle, WA

$142K - $263K/yr

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the ...

Expedia

Senior Machine Learning Scientist

Seattle, WA · Remote

$104K - $142K/yr

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building and evaluating GenAI- and LLM-powered solutions and AI agents that improve post-booking customer ...

Expedia

Machine Learning Scientist III

Seattle, WA · Remote

Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data scientists interested in breaking new ground to tackle some of the most complex customer experience ...

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All JobsMachine Learning JobsMachine Learning Jobs in Seattle, WA

Machine Learning information

See Seattle, WA salary details

$29K

$48.5K

$100.2K

How much do machine learning jobs pay per year?

As of Jul 6, 2026, the average yearly pay for machine learning 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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What are the most commonly searched types of Machine Learning jobs in Seattle, WA? The most popular types of Machine Learning jobs in Seattle, WA are:
What are popular job titles related to Machine Learning jobs in Seattle, WA? For Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Seattle, WA look for? The top searched job categories for Machine Learning jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Machine Learning jobs? Cities near Seattle, WA with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Seattle, WA as of June 2026, with employment types broken down into 3% Internship, 79% Full Time, 10% Part Time, 3% Temporary, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,489 per year, or $23.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

SAP

Bellevue, WA • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
SAP is a leading company in enterprise resource planning software, helping over 400,000 customers worldwide. As a Machine Learning Engineer, you will design and maintain AI solutions for customer support, collaborating with a team to enhance SAP's support offerings.
Responsibilities:
• Design, train, and evaluate AI models that power customer support solutions.
• Build and optimize RAG pipelines, embeddings, and agentic workflows for enterprise use.
• Develop evaluation frameworks to measure model accuracy, relevance, and task completion.
• Translate business problems into ML solutions with measurable outcomes.
• Collaborate with team members to productionize applications.
• Use prompt engineering, model orchestration, and tool-calling patterns to improve agents.
• Stay current with the fast-evolving AI landscape.
• Contribute to responsible AI and document model features, limitations, and design decisions for technical and non-technical stakeholders.
Qualifications:
Required:
• 3+ years of experience in ML engineering or data science delivering production solutions.
• Strong foundation in ML and NLP.
• Proficiency in Python, ML frameworks (e.g. PyTorch) and modern AI tooling (e.g. LangChain, Hugging Face)
• Practical experience with LLMs, including fine-tuning, prompt engineering, RAG, and agentic architectures.
• Solid understanding of evaluation methodologies.
• Experience translating research into reliable production systems.
• Ability to collaborate effectively across engineering, product, and business teams.
• Curiosity and a continuous-learning mindset to keep pace with a fast-moving field.
• Knowledge of privacy, security and compliance requirements for enterprise software.
• Fluent in English.
Company:
SAP provides enterprise application software to various industries, including consumer, discrete manufacturing, public services. It is a sub-organization of Delos Cloud. Founded in 1972, the company is headquartered in Walldorf, DEU, with a team of 10001+ employees. The company is currently Late Stage.

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