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Remote Python Machine Learning Jobs in Tacoma, WA

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... machine learning topics: classification, clustering, optimization, deep learning, NLP with Python ...

Axon

Senior Machine Learning Engineer II

Seattle, WA · On-site +1

$118K - $163K/yr

Your Impact We are seeking a seasoned Machine Learning Engineer to join a new team building agentic ... Strong software engineering fundamentals and proficiency in Python, along with familiarity with ML ...

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 ... Solid programming skills in Python and the ability to write clean, efficient, and well-documented ...

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95K - $106K/yr

Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning ... Advanced user in several quantitative software tools, particularly Python, R, and/or SQL ...

Onramp Lab

Developer

Seattle, WA · Remote

Proficient in programming languages such as JavaScript, Python, or similar * Experience with web ... Experience with AI or machine learning technologies is a plus Benefits * Health Care Plan (Medical ...

Onramp Lab

Developer

Seattle, WA · On-site +1

Proficient in programming languages such as JavaScript, Python, or similar * Experience with web ... Experience with AI or machine learning technologies is a plus Benefits * Health Care Plan (Medical ...

Axon

Senior Agentic AI Research Scientist

Seattle, WA · On-site +1

$112K - $142K/yr

You will advance the state-of-the-art in machine learning and multimodal technology and apply your ... Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras. * Strong communication ...

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How much do remote python machine learning jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for remote python machine learning in Tacoma, WA is $62.95, according to ZipRecruiter salary data. Most workers in this role earn between $51.88 and $71.49 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

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

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the most commonly searched types of Python Machine Learning jobs in Tacoma, WA? The most popular types of Python Machine Learning jobs in Tacoma, WA are:
What are popular job titles related to Remote Python Machine Learning jobs in Tacoma, WA? For Remote Python Machine Learning jobs in Tacoma, WA, the most frequently searched job titles are:
What job categories do people searching Remote Python Machine Learning jobs in Tacoma, WA look for? The top searched job categories for Remote Python Machine Learning jobs in Tacoma, WA are:
What cities near Tacoma, WA are hiring for Remote Python Machine Learning jobs? Cities near Tacoma, WA with the most Remote Python Machine Learning job openings:
Remote Python Machine Learning jobs near you
Principal Machine Learning Engineer (10187)

Principal Machine Learning Engineer (10187)

Extreme Networks

Seattle, WA • On-site, Remote

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

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.

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

Position type: Full time

Location: Seattle, WA

Position reports to: Director of Software Systems Engineering

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

Work authorization: Applicants must have legal authorization to work in the country where the role will be performed.

About the Position:
  • Position : Principal Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data
    Experience : 10+ Years
    Seattle, WA - Hybrid
     
    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. 
Required Skills & Expertise:
  • Degree in mathematics/computer science or related discipline.
  • 10+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
  • 6+ 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.
  • 4+ 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!
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.
$150,000 - $200,000 a year
This role offers a marketcompetitive salary with an anticipated base compensation range of 150,000 to 200,000 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 RRSP matching in Canada
  • Employee Stock Purchase Program, where eligible
  • Employee assistance program
  • Tuition reimbursement, where eligible

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.

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.
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