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Remote Machine Learning Engineer Jobs in Bellevue, WA

Atlassian

Senior Machine Learning Manager

Seattle, WA · On-site +1

Over the years, Atlassian has expanded its suite of productivity tools, yet developers remain at ... Experience building and scaling machine learning models in business applications using large ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data ...

YO AI Labs

Senior Software Engineer - Remote

Seattle, WA · Remote

$139K - $183K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

YO AI Labs

AI/ML Engineer - Remote

Seattle, WA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

YO AI Labs

AI/ML Engineer - Remote

Seattle, WA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

YO AI Labs

C++ Software Developer - Remote

Seattle, WA · Remote

$100 - $250/hr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

New

YO AI Labs

C++ Software Developer - Remote

Seattle, WA · Remote

$100 - $250/hr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

New

YO AI Labs

COBOL Developer - Remote

Seattle, WA · Remote

$100 - $150/hr

COBOL Developer - Remote Role Type: Contractor Location: Remote Role Overview We are seeking ... Prior experience contributing domain expertise to AI, data, or machine-learning projects is a plus ...

New

YO AI Labs

COBOL Developer - Remote

Seattle, WA · Remote

$100 - $150/hr

COBOL Developer - Remote Role Type: Contractor Location: Remote Role Overview We are seeking ... Prior experience contributing domain expertise to AI, data, or machine-learning projects is a plus ...

New

Truveta

ML PhD Intern - LLMs & Generative AI

Seattle, WA · Remote

... remote Who We Need We are seeking a highly motivated and talented Machine Learning PhD Intern to ... Collaborate with researchers and engineers to design, develop, and refine large language models and ...

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All JobsMachine Learning Engineer 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 Sep 14, 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?

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 as a remote machine learning engineer?

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.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $145,334 per year, or $69.9 per hour.

Senior Machine Learning Manager

Seattle, WA • On-site, Remote

Atlassian
Computer and Computer Peripheral Equipment and Software Wholesalers • 501 - 1,000 employees
Learn more about Atlassianexternal

Other

Re-posted 15 days ago

Job description

Overview
Your Future Team - DevAI
Atlassian's journey began with Jira, a tool designed to help developers track bugs and manage their work. Over the years, Atlassian has expanded its suite of productivity tools, yet developers remain at the heart of our focus. We are revitalizing our product lineup to better serve this core audience. Atlassian's ecosystem uniquely positions us to enhance every step of the developers' productivity cycle. With DevAI now established, we continue to evolve our AI-native SDLC solution, deeply integrating AI to redefine developer experiences. Our products include code reviewers, code generation, agentic engineering, spec-driven development, and more. Our vision is to transform software development, and we have ambitious plans to achieve this.
What You'll Do
As part of our team, you will play a crucial role in innovating the core intelligence solutions within our DevAI products. Your responsibilities will include (but not limited to) LLM integration, prompt engineering, and developing end-to-end AI features using cutting-edge technologies. You will collaborate closely with a diverse and highly skilled group of scientists and software engineers within our team, as well as with multiple partner teams across the company. Together, we are committed to delivering Atlassian's world-class developer AI products that will shape the future of software development.
Responsibilities
General Responsibilities
  • Strategic Leadership: Define and execute the long-term AI/ML strategy, ensuring alignment with product and business goals.
  • Team Building & Talent Development: Recruit, coach, and develop a high-performing team of engineers and scientists, fostering an inclusive and innovative culture.
  • Stakeholder Management: Partner with cross-functional leadership (product, engineering, data science) to drive product vision and execution.
  • Performance Management: Oversee team performance, providing coaching, feedback, and career growth opportunities for direct reports.
  • Technical Leadership & Mentoring: Provide technical guidance and mentorship to engineering teams, ensuring high standards of code quality and technical excellence.

Daily Responsibilities
  • Project Oversight: Oversee the end-to-end lifecycle of key AI/ML initiatives, ensuring timely delivery and high-quality standards.
  • Resource Allocation: Balance team bandwidth across competing priorities, ensuring optimal resource distribution for high-impact projects.
  • Process Optimization: Establish and refine engineering processes to improve team velocity, code quality, and deployment standards.
  • Risk Management: Proactively identify technical and operational risks, implementing mitigation strategies to maintain team momentum.

Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $209,700 - $273,775
Zone B: $188,730 - $246,398
Zone C: $174,051 - $227,233
Qualifications
  • Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
  • 10+ years of related industry experience in the data science domain, including 5+ years of direct people management experience. You should have a proven track record of building, mentoring, and scaling high-performing machine learning teams, with deep experience in organizational strategy, performance management, and developing engineering leaders.
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Agile development mindset, appreciating the benefit of constant iteration and improvement

It's great, but not required, if you have
  • Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
  • Experience in developing deep learning-based models and working on LLM-related applications
  • Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions.

Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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