ZipRecruiter

Log In

1

Principal Machine Learning Engineer Jobs in Seattle, WA

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Kindredventures

Machine Learning Engineer

Seattle, WA · On-site

$120K - $140K/yr

The role We're adding an Machine Learning Engineer to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a ...

Grid

Machine Learning Engineer

Seattle, WA

$120K - $140K/yr

The role We're adding an Machine Learning Engineer to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a ...

Grid

Machine Learning Engineer

Seattle, WA · On-site

$120K - $140K/yr

The role We're adding an Machine Learning Engineer to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Visa Hunt

Machine Learning Engineer

Bellevue, WA · On-site

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

As a 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 ...

Apple

Machine Learning Engineer

Seattle, WA · On-site

$175K - $308K/yr

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

They are seeking an Applied Machine Learning Engineer to develop products for their clients and the greenhouse industry, focusing on creating machine learning models and retraining systems.

previous pagenext page

Showing results 21-40

All JobsPrincipal Machine Learning Engineer JobsPrincipal Machine Learning Engineer Jobs in Seattle, WA

Principal Machine Learning Engineer information

See Seattle, WA salary details

$84.3K

$167.6K

$242K

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

As of Sep 15, 2026, the average yearly pay for principal machine learning engineer in Seattle, WA is $167,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,900.00 and $197,000.00 per year, depending on experience, location, and employer.

What does a principal machine learning engineer do?

A Principal Machine Learning Engineer leads the design, development, and deployment of machine learning models and systems. They set technical strategy, mentor engineers, and collaborate with cross-functional teams to solve complex AI challenges. Their role often includes researching new algorithms, optimizing model performance, and ensuring scalability in production environments. Additionally, they work closely with data scientists, software engineers, and product managers to align ML initiatives with business objectives.

What skills and qualifications are needed to thrive as a principal machine learning engineer?

To thrive as a Principal Machine Learning Engineer, you need advanced expertise in machine learning algorithms, statistical analysis, software engineering, and a strong background in computer science or related fields, often supported by a master's or PhD degree. Familiarity with tools such as Python, TensorFlow, PyTorch, cloud platforms (AWS, GCP, Azure), and relevant certifications strengthens technical capability. Leadership, strategic thinking, effective communication, and mentorship are vital soft skills for guiding teams and collaborating across departments. These competencies are essential for driving innovation, ensuring technical excellence, and influencing organizational AI initiatives.

What types of projects and responsibilities can a principal machine learning engineer typically expect?

Principal Machine Learning Engineers are often tasked with leading the design, development, and deployment of large-scale machine learning models and systems that address key business challenges. In this role, you will collaborate closely with data scientists, engineers, and product managers to define project requirements, architect solutions, and ensure high-quality delivery. You may also guide research initiatives, oversee code and model reviews, and mentor junior engineers, helping to shape the technical direction of the team. Typical responsibilities can range from prototyping and optimizing algorithms to ensuring models are scalable, reliable, and aligned with organizational goals.

Is a principal machine learning engineer a high paying job?

A principal machine learning engineer is typically a high-level role with a competitive salary that reflects advanced expertise in machine learning, data science, and software engineering. Salaries often vary based on industry, location, and company size but generally exceed those of mid-level roles due to the experience and leadership responsibilities involved.

What are popular job titles related to Principal Machine Learning Engineer jobs in Seattle, WA?

For Principal Machine Learning Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Principal Machine Learning Engineer jobs in Seattle, WA look for?

The top searched job categories for Principal Machine Learning Engineer jobs in Seattle, WA are:

Infographic showing various Principal Machine Learning Engineer job openings in Seattle, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $167,635 per year, or $80.6 per hour.

AI Principal Machine Learning Engineer (10189)

Seattle, WA • On-site

Extreme Networks
Software Development • 1 - 5K employees
Learn more about Extreme Networksexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Key responsibilities

  • Drive the design, development, and deployment of machine learning solutions and platforms.

  • Lead technical discussions, participate in code reviews, and oversee the end-to-end software development lifecycle.

  • Develop high-performance microservices and real-time inferencing systems using relevant technologies.

Job description

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.

Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.

Become part of Something big with Extreme! As a global networking leader, learn why there's no better time to join the Extreme team.

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress.

Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team.

Position details

Title of position: Principal Machine Learning Engineer - Gen AI, Machine Learning, Graph ML

Position type: Full time

Location: Seattle, WA / San Jose, CA

Position reports to: Director of SW Systems Engineering

Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled.

Work authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time 

Scope:
 
Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence. 
About the position
  • Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation.
  • Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.
  • Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services.
  • Develop real-time online inferencing for highly complex models using Triton, TensorRT and mixed precision computing.
  • Mentor and develop other engineers on the team, establish technical direction and foster team culture.
  • Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.
Basic Qualifications:
  • Degree in mathematics/computer science or related discipline.
  • 5 to 10 years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
  • 5 to 10 years of experience in Python with an in-depth knowledge of its advanced features and libraries.
  • Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI.
  • Proficient in Docker, Kubernetes, and modern CI/CD practices.
  • 3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience as a mentor, tech lead or leading an engineering team.
Preferred Qualifications:
  • MS or PhD in Computer Science or equivalent experience in ML.
  • Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).
  • Experience with NoSQL and document databases.
  • Proven ability to handle big data, optimize workflows, and improve system performance.
  • Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!
 
  • Salary based on qualifications, experience and region up to USD 170 k to 240 K plus benefits.
Equal Employment Opportunity
  1. Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans.
  2. Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply.
Fair chance and background checks
  • Extreme Networks will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance for Employers, Philadelphia Fair Criminal Record Screening Standards Ordinance, Illinois Human Rights Act, Cook County Human Rights Ordinance, Seattle Fair Chance Employment Ordinance, and the San Francisco Fair Chance Ordinance. An applicant's conviction history will not be considered until after a conditional offer of employment has been made. Following any individualized assessment, applicants will be provided with the opportunity to respond before any adverse action is taken.
  • Extreme Networks does not seek salary history information from applicants and will not rely on salary history in determining whether to offer employment or in setting compensation.
$170,000 - $240,000 a year
This role offers a marketcompetitive salary with an anticipated base compensation range of 170,000 to 240,000 USD. Actual compensation will depend on the selected candidate's experience, qualifications, skills, and work location. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay upon hire. This range is determined using objective, genderneutral criteria based on skills, experience, responsibility, and working conditions. In addition to base pay, this role is eligible for a performancebased bonus and the full benefits package described below. Benefits and total rewards:

Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include:

  • Medical, dental, and vision insurance
  • Flexible work schedules and work-from-home opportunities where role permits
  • Paid time off, including open time off in eligible markets and statutory leave in all markets
  • Paid holidays in accordance with local practice
  • Retirement savings programs, including 401K matching in the United States
  • Employee Stock Purchase Program, where eligible
  • Adoption assistance and fertility treatment support, where eligible
  • Flexible spending accounts, where eligible
  • Employee assistance program
  • Tuition reimbursement, where eligible
  • Life and disability insurance

Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment.

Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.

We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on "protected categories," Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply