ZipRecruiter

Log In

2

Remote Machine Learning Engineer Jobs in Bellevue, WA

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186.10K - $300.55K/yr

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our ... Employee divides their time between in-office and remote work. Access to an office location is ...

Chewy

Senior Machine Learning Engineer

Bellevue, WA · On-site +1

$149K - $245K/yr

At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite ...

Uber

Sr Machine Learning Engineer, Pricing

Seattle, WA · On-site +1

Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective ... S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or ...

Geico

Staff Machine Learning Engineer

Seattle, WA · On-site +1

$130K - $260K/yr

GEICO is seeking a Staff AI engineer to join our AI org. This person will play key technical leadership roles for the development of Geico's virtual agent platform that elevates the productivity and ...

Geico

Senior Staff Machine Learning Engineer

Seattle, WA · Remote

$118.90K - $163.30K/yr

Great Company, Great Culture, Great Rewards and Great Careers GEICO is seeking a Senior Staff Machine Learning Engineer to help shape how Generative AI enhances customer and associate experiences ...

next page

Showing results 1-20

People also search for

All JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Bellevue, WA

Remote Machine Learning Engineer information

See Bellevue, WA salary details

$35.6K

$145.3K

$218.4K

How much do remote machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote machine learning engineer in Bellevue, WA is $145,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $174,900.00 per year, depending on experience, location, and employer.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.
More about Remote Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Bellevue, WA? The most popular types of Machine Learning Engineer jobs in Bellevue, WA are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Bellevue, WA? For Remote Machine Learning Engineer jobs in Bellevue, WA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Bellevue, WA look for? The top searched job categories for Remote Machine Learning Engineer jobs in Bellevue, WA are:
What cities near Bellevue, WA are hiring for Remote Machine Learning Engineer jobs? Cities near Bellevue, WA with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Bellevue, WA as of May 2026, with employment types broken down into 90% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $145,334 per year, or $69.9 per hour.
Machine Learning Engineer, Core Engineering

Machine Learning Engineer, Core Engineering

Pinterest

Seattle, WA • Remote

$285.98K/yr

Other

Posted 19 days ago

Job description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

  • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  • Work in a high-impact environment with quick experimentation and product launches
  • Keeping up with industry trends in recommendation systems

What we're looking for:

  • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  • Degree in computer science, machine learning, statistics, or related field
  • Nice to have:
    • M.S. or PhD in Machine Learning or related areas
    • Publications at top ML conferences
    • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
    • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
    • Expertise in scalable realtime systems that process stream data
    • Passion for applied ML and the Pinterest product

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$138,905—$285,982 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Apply