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

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 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 ...

Amazon

Software Engineer, Monetization ML

Seattle, WA · On-site

... engineering teams across monetization to deliver ML-powered features that enhance creator and ... Golang, Python, Apache Flink, Cond - Experience with workflow orchestration tools like Airflow or ...

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 ...

Apple

ML Software Engineer

Seattle, WA

$175K - $263K/yr

Our team builds ML-inference applications and services on Apple Silicon in the datacenter ... Swift, C, C++, Python, iOS/macOS or XCode Practical experience running machine learning models and ...

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 ...

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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 Jul 14, 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 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 job categories do people searching Python Ml Developer jobs in Lake Stevens, WA look for? The top searched job categories for Python Ml Developer jobs in Lake Stevens, WA are:
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 July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $133,547 per year, or $64.2 per hour.

Senior Field ML Engineer

Open Universal Machine Intelligence

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 21 days ago

Job description

About Oumi
Why we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely. By providing the safest, highest quality, and most flexible AI, we aspire to unlock positive impact for every individual, enterprise, and humanity overall.
What we do: Oumi provides an end-to-end, AI-native platform to build custom AI models in hours, not months -automating the loop of evaluation, data synthesis, training, and repeat. Oumi also develops an open research stack and models in collaboration with academic collaborators and the open community.
Our Approach: Oumi is built on a foundation of open source, with open collaboration at the heart of everything we do. Our work is:
  • Research-driven: We conduct and publish original AI research, working closely with academic research labs and collaborators across the globe.
  • Community-powered: We believe in the strength of open collaboration and actively welcome contributions from researchers and developers worldwide.
  • Accessibility-focused: We design Oumi to help any organization-regardless of size or resources-effectively build, deploy, and benefit from AI by lowering barriers to access, experimentation, and adoption.

Role Overview
We're looking for our first Senior Field ML Engineer who bridges the gap between technical expertise and customer success. You'll work closely with our customers to design, train, and deploy AI models using Oumi's platform. This role blends solution architecture, applied machine learning, and customer interaction - ideal for someone who loves both building systems and helping others use them effectively.
You'll play an important role in shaping not only the direction of the team but also the product. You will collaborate closely with research, product, and engineering teams to ensure customers have a world-class experience using Oumi, while channeling feedback to improve our platform.
You will:
  • Drive success with customers: Partner with customers through the pre-sales and post-sales lifecycle - from technical demos and proof-of-concept design to hands-on training and deploying models.
  • Create custom models: Train, fine-tune, and evaluate modern LLMs and other AI models using Oumi's platform.
  • Design AI solution architectures: Work with customers to design scalable ML workflows using best practices in data preparation, training, and deployment.
  • Be a technical advocate: Help customers understand Oumi's capabilities, providing technical insight and translating research innovations into practical solutions.
  • Drive product improvements: Work closely with the product and research teams to surface customer needs and help shape the future of Oumi's platform.
  • Educate & Enable: Develop technical guides, demos, and best practices to help customers and the open community succeed with Oumi.
What You'll Bring:
  • Experience: You have 5+ years of experience in applied ML, ML infrastructure, or solution/sales engineering roles.
  • ML Expertise: You bring a solid understanding of machine learning workflows, with experience training or fine-tuning modern foundation models (e.g., LLMs, diffusion models, multimodal systems).
  • Development Skills: You are proficient in Python with a strong understanding of AI/LLM best practices including practical experience with model training frameworks and using LLMs in production environments for modern use cases (e.g. RAG, agents, or agentic systems).
  • Customer-Facing Strength: You have strong experience communicating complex technical concepts clearly and empathetically to both technical and non-technical audiences.
  • Learners Mindset: You can proactively address gaps in your understanding of concepts and are willing to pick up whatever knowledge you're missing to get the job done.
  • Operational Excellence: You can operate in and manage ambiguity while owning problems end-to-end.
  • Values: You embody Oumi's core values: Beneficial for All, Customer-Ossessed, Radical Ownership, Exceptional Teammates, Science-Grounded.

Benefits:
  • Equity in a high-growth startup
  • Comprehensive health, dental, and vision insurance
  • 21 days PTO
  • Regular team offsites and events

Location:
  • Remote OR hybrid work environment, with offices in:
    • San Mateo, CA
    • Seattle, WA
    • New York, NY

Apply