ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Redmond, WA (NOW HIRING)

Scowtt Inc

Machine Learning Engineer I

Seattle, WA · On-site

$100K - $150K/yr

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ...

Hive

Staff Machine Learning Engineer

Seattle, WA · On-site

$200K - $300K/yr

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at ...

Scowtt Inc

Machine Learning Engineer I

Seattle, WA · On-site

$100K - $150K/yr

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ...

Snapchat

Machine Learning Engineer, Level 4

Bellevue, 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 ...

Expedia

Machine Learning Engineer III

Seattle, WA

$233K/yr

As a Machine Learning Engineer III, you'll design and scale the intelligent systems that power Expedia's global travel marketplace. You'll work across Content, Pricing & Availability, Trust and ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

PitchBook Data

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Redmond, WA

Machine Learning Engineer information

See Redmond, WA salary details

$35.3K

$144.2K

$216.7K

How much do machine learning engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning engineer in Redmond, WA is $144,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $173,600.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Redmond, WA? The most popular types of Machine Learning Engineer jobs in Redmond, WA are:
What are popular job titles related to Machine Learning Engineer jobs in Redmond, WA? For Machine Learning Engineer jobs in Redmond, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Redmond, WA look for? The top searched job categories for Machine Learning Engineer jobs in Redmond, WA are:
What cities near Redmond, WA are hiring for Machine Learning Engineer jobs? Cities near Redmond, WA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Redmond, WA as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $144,215 per year, or $69.3 per hour.

Machine Learning Engineer

Zoom Video Communications

Seattle, WA

$183K - $275K/yr

Other

Posted 17 days ago

Job description

Immigration sponsorship is not available for this position
Responsibilities:

  • Design, implement, and optimize GenAI algorithms, techniques and solutions to address complex
  • business challenges.
  • Collaborate with cross-functional teams to integrate research findings into scalable engineering solutions that align with business objectives.
  • Participate in code reviews, design discussions, and technical presentations to ensure the quality and reliability of our engineering solutions.
  • Identify opportunities for improvement in existing systems and proposing innovative solutions to enhance performance, scalability, and reliability.
  • Stay up to date with the newest developments in GenAI research and engineering to continuously improve our technical capabilities.
What we're looking for:
Requires a Bachelor's degree in Computer Science, Computer Engineering, a related field, or a foreign degree equivalent. Must have 3 years of experience in job offered or related occupation. Must have 3 years of experience in the following skills:
  • Utilizing one or more programming languages such as Python, C, C++, or CUDA in building scalable software systems;
  • Deep learning frameworks including PyTorch and TensorFlow;
  • Presenting academic or personal AI projects;
  • Collaborating with cross-functional teams to present technical concepts to both technical and nontechnical audiences;
  • Agentic AI including LLM driven AI agents, agentic RAG;
  • Building scalable, maintainable, and production-ready machine learning systems; and
  • Analyzing data and troubleshooting issues related to deployed AI systems.
  • Telecommuting work arrangement permitted one day per week. Four days in office required. Position does not require domestic or international travel.
In Lieu of a Bachelor's degree and 3 years of experience the company will accept the following: Must have Master's degree in Computer Science, Computer Engineering, a related field, or a foreign degree equivalent. Must have 1 years of experience in job offered or related occupation. Must have 1 years of experience in the following skills:
  • Utilizing one or more programming languages such as Python, C, C++, or CUDA in building scalable software systems;
  • Deep learning frameworks including PyTorch and TensorFlow;
  • Presenting academic or personal AI projects;
  • Collaborating with cross-functional teams to present technical concepts to both technical and nontechnical audiences;
  • Agentic AI including LLM driven AI agents, agentic RAG;
  • Building scalable, maintainable, and production-ready machine learning systems; and
  • Analyzing data and troubleshooting issues related to deployed AI systems.
  • Telecommuting work arrangement permitted one day per week. Four days in office required. Position does not require domestic or international travel.

Zoom Communications, Inc.
#LI-DNI
#Ind0
Salary Range or On Target Earnings:
Minimum:
$183,600.00
Maximum:
$275,400.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application - take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.

Apply