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

lululemon

Applied AI/ML Scientist

Seattle, WA · On-site

... with AI/ML engineers and software engineers to ensure seamless integration into production ... Python, pyTorch, cloud ML platforms and libraries, open-source toolkits. • Acknowledge the ...

Oracle

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 ...

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 ...

lululemon

Applied AI/ML Scientist

Seattle, WA · On-site

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 Corporation

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 ...

Amperity

Senior Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

Software engineering skills with experience in Python and familiarity with ML frameworks (e.g. XGBoost, PyTorch, PySpark). * Experience with cloud-native ML infrastructure, containerization, and ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Everett, WA

Python Ml Developer information

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How much do python ml developer jobs pay per hour?

As of Jul 9, 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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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
Senior Cloud Engineer (Hybrid @ Bellevue, WA or Remote @ Florida)

Senior Cloud Engineer (Hybrid @ Bellevue, WA or Remote @ Florida)

OfferUp

Bellevue, WA • On-site, Remote

$215K - $240K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 29 days ago

Job description

Team Charter:
The Cloud Engineering team is dedicated to maintaining and evolving cloud infrastructure, CI/CD pipelines, Application Security, Change Management, and Backend application golden templates. We are the backbone of the technical organization, ensuring the foundation of our services is robust, secure, and efficient.
About the role:
We are looking for a Senior Cloud Engineer to join our Cloud Engineering team. This team is tasked with ensuring scalability, reliability, and security for all backend services and keeping the SDLC running smoothly for engineers across the company.
As a senior member of the team, you will own meaningful pieces of our cloud platform end-to-end - from design through deployment and operation - while helping shape the standards, tooling, and golden templates that the rest of the engineering organization builds on. You will balance deep, hands-on technical ownership with mentoring teammates and influencing the technical direction of the systems that power a large-scale mobile marketplace.
What we love about this role:
  • Scale & Impact: You will work on systems that drive the end-user experience and support every technical team across the organization, operating across a multi-account AWS and GCP footprint.
  • Ownership: You will own critical infrastructure and platform capabilities end-to-end, making architectural decisions that affect reliability, security, and cost at scale.
  • Force Multiplier: The templates, pipelines, and tooling you build raise the productivity and safety of every engineer at OfferUp.
  • Emerging Technology: You will help bring new capabilities - including AI/ML developer tooling and infrastructure - into the hands of our engineers.

In this role, you will design, build, and operate the cloud infrastructure, platform tooling, and CI/CD systems that underpin OfferUp's core applications. Day to day, that means you will:
  • Build cloud infrastructure as code - design, implement, and maintain AWS and GCP infrastructure with Terraform, optimizing for reliability, security, and cost.
  • Own our Kubernetes & GitOps platform - run and evolve EKS/GKE (cluster upgrades, Envoy/Gloo networking, Helm, ArgoCD delivery).
  • Keep the SDLC fast and safe - build CI/CD pipelines and developer workflows (GitHub Actions, monorepo tooling, JFrog Artifactory), and maintain the backend "golden templates" and shared libraries the wider org builds on.
  • Lead platform migrations end-to-end - plan, execute, and de-risk observability, data-store, Kubernetes, and multi-account migrations, including rollback strategy.
  • Drive operational excellence & security - own observability in Datadog and on-call, remediate CVEs, manage secrets and access controls (Cloudflare/ZTNA, Okta, SSO, Workload Identity Federation), and optimize cloud cost.
  • Multiply the team - enable AI/ML developer tooling (Amazon Bedrock, Claude, AI-assisted workflows), lead design and code reviews, set technical standards, mentor engineers, and partner with other teams.

You'll thrive in this role if you have:
  • Experience & Education: 5-8 years in cloud engineering, infrastructure, platform, DevOps, or SRE roles; Bachelor's in Computer Science or a related field, or equivalent practical experience.
  • Cloud & Infrastructure as Code: Deep, hands-on AWS (ideally GCP) - EKS/GKE, Lambda, networking, IAM, S3, Kinesis, OpenSearch, Route53 - managed declaratively with Terraform at scale.
  • Containers & Delivery: Solid experience with Kubernetes (EKS/GKE), Helm, GitOps (ArgoCD), and CI/CD pipelines (GitHub Actions or similar) in a monorepo or multi-service environment.
  • Observability & Operations: Modern observability tooling (Datadog or similar) for metrics, logs, traces, and alerting; supporting production systems, on-call, and debugging complex distributed systems.
  • Coding: Proficiency in at least one of Java, TypeScript, Python, or Go for automation, tooling, and platform development; comfort with scripting and SQL.
  • Communication & Leadership: Able to communicate technical concepts to technical and non-technical audiences, lead through influence, and mentor other engineers.

Helpful, but not required:
  • Experience with edge and zero-trust networking (Cloudflare, Envoy/Gloo).
  • Experience operating data and streaming infrastructure (Kinesis, Flink, Redis/Valkey, Confluent/Kafka).
  • Experience enabling AI/ML infrastructure or developer tooling (Amazon Bedrock, SageMaker, or LLM-based developer workflows).
  • Experience with security and compliance practices, change management, and incident management at scale.
  • Experience with GCP Workload Identity Federation and cross-cloud (AWS↔GCP) integrations.

Compensation Range: $215,000 - $240,000
OfferUp offers a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. Individual salaries within our ranges are determined through a variety of factors, including but not limited to education, experience, knowledge, skills, and geography. All roles will receive equity in OfferUp as part of their compensation, the amount of equity varying depending on the individual's level and experience.
Benefits (all US roles): In addition to our compensation package, this role is eligible to enroll in health insurance, healthcare savings and spending accounts, retirement savings benefits (401(k) plan with match), basic and voluntary life insurance, disability benefits, and paid time off for sick leave, family and/or medical leave, vacation, and 12 company holidays. In regard to vacation time, OfferUp has a flexible vacation policy, and, in general, full-time, exempt employees will be expected to take 3-5 weeks (15-30 days) of pre-planned vacation time per year. Vacation needs are flexible and will naturally vary from year to year based on individual circumstances and business needs. In regard to sick time, all full-time employees (exempt and non-exempt) will be granted 12 days (96 hours) of sick time per year (pro-rated if the start date is other than January 1). Your recruiter can share more details about specific benefits during the interview process.
About OfferUp:
OfferUp is dedicated to creating the simplest and most trusted way for people to buy, sell, and connect in their local communities. One of the top local marketplace apps for local buyers and sellers in the U.S., OfferUp makes it easy for people to discover more of what they need-from great deals and secondhand goods to jobs, services, home rentals, and more-right in their own communities. Our trusted platform empowers millions to connect, thrive, and move life forward.
Available on iOS and Android, OfferUp has consistently ranked among the top shopping apps. Founded in 2011 and based in Bellevue, WA, OfferUp serves local markets nationwide and was used by more than 1 in 6 adults in the U.S. in 2024. OfferUp is backed by leading investors, including Andreessen Horowitz, Warburg Pincus, GGV Capital, T. Rowe Price, and Coatue Management. https://about.offerup.com
More About OfferUp At a Glance
  • Top 10 Shopping app in the App Store and Google Play Store for three years
  • 15%+ of adults in several major markets use OfferUp every month (LA, Miami, Phoenix, Seattle, Las Vegas, Riverside, Orlando)
  • OfferUp works directly with nearly 2000 US law enforcement agencies to build trust in local communities

OfferUp is unleashing the power of local, and we've built a dynamic team to do it. To learn more about working at OfferUp, check out https://about.offerup.com/people
OfferUp provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, OfferUp complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training.
OfferUp expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of OfferUp's employees to perform their job duties may result in discipline up to and including discharge.

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