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Python Ml Developer Jobs in Everett, WA (NOW HIRING)

Oracle Corporation

Software Developer 4

Seattle, WA

... Python, ML frameworks, training AI models, and an understanding of networking protocols, data ... Career Level - IC4 As a Principal AI Networking Developer you will be responsible for building and ...

lululemon

Applied AI/ML Scientist

Seattle, WA

You own the AI solution implementation and partner with engineering teams to integrate solutions ... such as Python, pyTorch, cloud ML platforms and libraries, open-source toolkits. Must haves ...

Oracle

Software Developer 4

Seattle, WA · On-site

... Python, ML frameworks, training AI models, and an understanding of networking protocols, data ... Career Level - IC4 As a Principal AI Networking Developer you will be responsible for building and ...

Lululemon

Applied AI/ML Scientist

Seattle, WA · On-site

Collaborating with product and engineering teams to embed AI models into end to end business ... Experience with ML implementation using commonly used tools such as Python, pyTorch, cloud ML ...

Paradigm

Senior ML Ops Engineer

Seattle, WA · On-site

$123K - $170K/yr

... DevOps, or a related technical discipline. · Strong understanding of the machine learning ... in Python programming, ML Framework and Agentic AI. Implemented model monitoring, experiment ...

The AES Group

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

... Python automation, and Azure cloud technologies, including Azure Databricks, to build scalable ... Work on cutting-edge cloud transformation and AI/ML infrastructure projects * Opportunity to ...

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Python Ml Developer information

See Everett, WA salary details

$14

$64

$95

How much do python ml developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python ml developer in Everett, WA is $64.76, according to ZipRecruiter salary data. Most workers in this role earn between $53.37 and $73.56 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Everett, WA?

For Python Ml Developer jobs in Everett, WA, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Everett, WA look for?

The top searched job categories for Python Ml Developer jobs in Everett, WA are:

What cities near Everett, WA are hiring for Python Ml Developer jobs?

Cities near Everett, WA with the most Python Ml Developer job openings:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Everett, WA as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $134,696 per year, or $64.8 per hour.

Software Developer 4

Oracle Corporation

Seattle, WA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Oracle rating

8.7

Company rating: 8.7 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

54th of 245 rated software companies

Job description

In this role you will lead the design and development team to build advanced AI applications powered by AI models. You will use AI/ML to automate, optimize, and secure networks, focusing on tasks like self-provisioning, auto-ingesting, auto-qualifying systems and self-healing networks, requiring skills in Python, ML frameworks, training AI models, and an understanding of networking protocols, data center designs, infrastructure as a service, network monitoring and network automation.

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4


As a Principal AI Networking Developer you will be responsible for building and optimizing large-scale AI systems, ensuring scalability, reliability, and performance. The candidate should be able to work collaboratively with cross-functional teams to drive the development and deployment of AI solutions. If you have a passion for building cutting-edge AI applications and are looking for a challenging role, we encourage you to apply. Strong problem-solving skills, attention to detail, and excellent communication skills are essential for this role.

  • Design and implement scalable orchestration for serving and training AI/ML models.
  • Explore and incorporate contemporary research on AI, agents, and inference systems into the software stack for designing, monitoring, troubleshooting and deploying networks.
  • Evaluate, Integrate, and Optimize technologies across the stack, for latency, throughput, and resource utilization for training and inference workloads.
  • Lead initiatives in AI systems design, including Retrieval-Augmented Generation (RAG) and LLM fine-tuning.
  • Design and develop scalable services and tools to support GPU-accelerated AI pipelines, Python/Go, and observability frameworks.
     

Required/Preferred experience:

  • Strong Python and ML frameworks (PyTorch, TensorFlow)
  • LLMs, embeddings, vector search, RAG pipelines, and fine-tuning
  • Data engineering: Spark, Kafka, Flink, OCI Streaming/Data Flow
  • Distributed systems and large-scale training/inference
  • Handling network telemetry (NetFlow, packet captures, streaming telemetry)
  • Network automation frameworks (Terraform, Ansible, NAPALM, Batfish is a
    plus)
  • Containerization, model serving, GPU workflows, CI/CD, and MLOps tools
  • Writing design docs, scoping features, and owning delivery end-to-end

Required Education and Work Experience:

BSEE, BSCS, BSCE, or equivalent. MSEE, MSCS, or MSCE is a plus. At least 7+ years of experience building software systems and prior experience building AI applications training models.

What Oracle employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Oracle

Sourced by ZipRecruiter

An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That's why we're committed to creating a workforce where all individuals can do their best work. It's when everyone's voice is heard and valued that we're inspired to go beyond what's been done before.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Redwood City, CA, US

Year founded

1977

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