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Python Ml Developer Jobs in Lake Stevens, WA (NOW HIRING)

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 ...

Expedia

Senior AI / ML Data Engineer - Layla AI

Seattle, WA · On-site

$120K - $163K/yr

Proficiency with Python for data engineering work. * Demonstrated ability to own data quality, reliability, and observability for critical datasets in production. * Familiarity with supporting AI/ML ...

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 ...

ARM

Senior AI Engineer

Seattle, WA · Hybrid

$170K - $231K/yr

As a Senior Machine Learning DevOps Engineer, you will design and build the ML DevOps ... Robust programming and scripting skills preferably in Python / C / C++, previous experience with ...

DigitalOcean

Staff Software Engineer, AI/ML

Seattle, WA · On-site

As a Staff AI/ML Engineer on our Applied Research team, you'll own the technical direction for ... Strong software engineering in Python and at least one production systems language. * The judgment ...

ExtraHop

Software Engineer III | AI/ML

Seattle, WA · On-site +1

... engineering team to build a scalable and secure platform and deliver customer-facing AI/ML features ... Our services and features are written primarily in Python, Golang, TypeScript, and React, with a ...

YO AI Labs

Mental Health Expert - Remote

Seattle, WA · Remote

$200 - $350/hr

Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands-on production experience with LLMs, RAG, and prompt engineering . * Experience with multi-agent ...

YO AI Labs

Mental Health Expert - Remote

Seattle, WA · Remote

$200 - $350/hr

Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands-on production experience with LLMs, RAG, and prompt engineering . * Experience with multi-agent ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Lake Stevens, WA

Python Ml Developer information

See Lake Stevens, WA salary details

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How much do python ml developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python ml developer in Lake Stevens, WA is $64.21, according to ZipRecruiter salary data. Most workers in this role earn between $52.93 and $72.93 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 cities near Lake Stevens, WA are hiring for Python Ml Developer jobs?

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

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Lake Stevens, WA as of September 2026, with employment types broken down into 2% Internship, 87% Full Time, 6% Part Time, and 5% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $133,547 per year, or $64.2 per hour.

Applied AI/ML Scientist

Seattle, WA • On-site

Lululemon
Apparel and Accessories Stores • 10K+ employees
Learn more about Lululemonexternal

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted yesterday

Lululemon Athletica rating

7.3

Company rating: 7.3 out of 10

Based on 138 frontline employees who took The Breakroom Quiz

12th of 105 rated fashion retailers

Job description

Description & Requirements
Who we are
lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. That includes creating an equitable, inclusive and growth-focused environment for our people.
About this team
The Enterprise Data & AI team is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and products that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, advanced analytics capabilities, and AI solutions across lululemon's vertically integrated retail ecosystem, embedding strong data governance and responsible AI practices from the very beginning. By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates. Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and educator experiences, and drives enterprise efficiency.
Core responsibilities
As an Applied AI/ML Scientist, you design, develop, test, and optimize AI/ML solutions that address defined business problems, with an emphasis on applied modeling, experimentation, and translating advanced AI research into scalable, production-ready solutions. You work independently to design and adapt AI/ML approaches to build prototypes, and improve model performance, reliability, and efficiency. You use domain knowledge and collaborate with stakeholders and product teams to map the business problem to the right model and AI/ML solution approach. You own the AI solution implementation and partner with engineering teams to integrate solutions into the broader engineering system. You contribute to solution enhancements, validate outcomes, and continuously improve models based on real world performance.
Examples of projects could be
  • Designing and deploying machine learning and predictive/generative AI models for demand forecasting, optimization, personalization and search, intelligent automation, and multimodal content creation and enrichment
  • Applying NLP, computer vision, multimodal, or time series modeling techniques to enterprise-scale datasets that are a mix of structured and unstructured data
  • Developing experimentation frameworks and evaluation approaches to measure business impact of AI solutions in production
  • Collaborating with product and engineering teams to embed AI models into end to end business workflows
Select responsibilities include:
  • Translate business challenges into AI/ML approaches by working with key SMEs and stakeholders to understand problems and map them to the right AI/ML solution approach.
  • Design experiments and establish success criteria aligned with business goals
  • Develop AI/ML solutions for complex business problems applying advanced techniques to deliver measurable business impact, building production-ready models, and ensuring solutions scale effectively
  • Develop prototypes and conduct rigorous experimentation, design evaluation plan to analyze model performance, and iterate to improve accuracy, generalization, interpretability, and business impact
  • Develop end-to-end working AI/ML solutions for assigned use cases from data ingestion through inference, and partner with AI/ML engineers and software engineers to ensure seamless integration into production workflows and processes
Qualifications
  • Bachelor's degree in computer science, machine learning, mathematics, or related field, Masters preferred
  • 4-8 years of experience building and optimizing AI/ML solutions, or equivalent research experience, including educational experience (e.g., Master's or PhD degree)
  • Demonstrated experience in evaluating and applying state-of-the-art AI/ML models and methods to develop practical, high-performing solutions to specific use-cases.
  • Experience designing AI/ML approaches, conducting experiments to evaluate performance, iterating on solution design to improve performance, and translating AI-ML driven insights into business goals
  • Proven ability to navigate technical complexity within assigned solutions including data transformation and preparation, model training and fine-tuning, latency constraints, and integration requirements within established architectural patterns
  • Experience with ML implementation using commonly used tools such as Python, pyTorch, cloud ML platforms and libraries, open-source toolkits.
Must haves
  • Acknowledge the presence of choice in every moment and take personal responsibility for your life.
  • Possess an entrepreneurial spirit and continuously innovate to achieve great results.
  • Communicate with honesty and kindness and create the space for others to do the same.
  • Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
  • Foster connection by putting people first and building trusting relationships.
  • Integrate fun and joy as a way of being and working, aka doesn't take yourself too seriously.
additional notes
Please note: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of employment visa at this time for this role.
compensation and benefits package
lululemon's compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and teamperformance. Thetypical hiring range for this position is from$146,830-$192,720annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.
At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:
  • Extended health and dental benefits, and mental health plans
  • Paid time off
  • Savings and retirement plan matching
  • Generous employee discount
  • Fitness & yoga classes
  • Parenthood top-up
  • Extensive catalog of development course offerings
  • People networks, mentorship programs, and leadership series (to name a few)
Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.
workplace arrangement
In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.
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