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Python Ai Ml Jobs in Seattle, WA (NOW HIRING)

Geico

Senior Staff ML Engineer

Seattle, WA · On-site

$118K - $163K/yr

Examples include AI agent orchestration, conversational AI solutions, knowledge assistants, process ... Proficient in Python, Java or similar general-purpose programming languages. * Bachelor's degree or ...

Programmers.io

Azure AI/ML Engineer

Bellevue, WA · On-site

$62 - $77/hr

AI,C#,ASP.NET 4.5,Java,LLM,Python,Vector,Semantic Kernel, AI Foundry ,LLMs (Azure OpenAI, OpenAI, Anthropic,MicroServices,Azure DevOps,Docker,Kubernetes Role Descriptions: 8 years of Strong ...

NVIDIA

Senior Compiler Engineer - AI

Redmond, WA · On-site

$117K - $160K/yr

... Python and C/C++. • Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies. • Hands-on experience with LLVM/MLIR-based compiler development, including ...

Blue Origin, LLC

AI Engineer III - Blue Ring

Seattle, WA · On-site

$65.50 - $88/hr

Proficiency in Python and at least one AI/ML framework (PyTorch, TensorFlow) * Hands-on experience building and deploying multi-agent systems, agentic AI workflows, or LLM-based applications in ...

Blue Origin

AI Engineer III - Blue Ring

Seattle, WA · On-site

$65.50 - $88/hr

Proficiency in Python and at least one AI/ML framework (PyTorch, TensorFlow) * Hands-on experience building and deploying multi-agent systems, agentic AI workflows, or LLM-based applications in ...

The AES Group

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

... Python automation, and Azure cloud technologies, including Azure Databricks, to build scalable, secure, and reliable infrastructure supporting advanced AI/ML platforms. Why Join The AES Group? * Work ...

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How much do python ai ml jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for python ai ml in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 per hour, depending on experience, location, and employer.

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

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

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.
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Python Ai Ml jobs near you

Sr. Software Engineer- AI/ML, AWS Neuron Apps

Amazon

Seattle, WA • On-site

$139K - $183K/yr

Full-time

Re-posted 16 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,073 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Shape the Future of AI Accelerators at AWS Neuron
Join the elite team behind AWS Neuron-the software stack powering AWS's next-generation AI accelerators Inferentia and Trainium. As a Senior Software Engineer in our Machine Learning Applications team, you'll be at the forefront of deploying and optimizing some of the world's most sophisticated AI models at unprecedented scale.
What You'll Impact:
Pioneer distributed inference solutions for industry-leading LLMs such as GPT, Llama, Qwen
Optimize breakthrough language and vision generative AI models
Collaborate directly with silicon architects and compiler teams to push the boundaries of AI acceleration
Drive performance benchmarking and tuning that directly impacts millions of inference calls globally
Key job responsibilities
You will drive the Evolution of Distributed AI at AWS Neuron
As a Technical Leader at the forefront of AWS's AI Accelerator, you'll architect the bridge between ML frameworks including PyTorch, JAX and AI hardware. This isn't just about just optimization-it's about revolutionizing how AI models run at scale.
Technical Impact You'll Drive:
Spearhead distributed inference architecture for PyTorch and JAX using XLA
Engineer breakthrough performance optimizations for AWS Trainium and Inferentia
Develop ML tools to enhance LLM accuracy and efficiency
Transform complex tensor operations into highly optimized hardware implementations
Pioneer benchmarking methodologies that shape next-gen AI accelerator design
What Makes This Role Unique:
Direct influence on AWS's AI infrastructure used by thousands of ML applications
Full-stack optimization from high-level frameworks to hardware-specific primitives
Creation of tools and frameworks that define industry standards for ML deployment
Collaboration with both open-source ML communities and hardware architecture teams
Your Technical Arsenal Should Include:
Deep expertise in Python and ML framework internals
Strong understanding of distributed systems and ML optimization
Passion for performance tuning and system architecture
A day in the life
Work/Life Balance
Our team puts a high value on work-life balance

It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members

We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
About the team
At AWS Neuron, we're revolutionizing how the world's most sophisticated AI models run at scale through Amazon's next-generation AI accelerators. Operating at the unique intersection of ML frameworks and custom silicon, our team drives innovation from silicon architecture to production software deployment.
We pioneer distributed inference solutions for PyTorch and JAX using XLA, optimize industry-leading LLMs like GPT and Llama, and collaborate directly with silicon architects to influence the future of AI hardware

Our systems handle millions of inference calls daily, while our optimizations directly impact thousands of AWS customers running critical AI workloads.
We're focused on pushing the boundaries of large language model optimization, distributed inference architecture, and hardware-specific performance tuning. Our deep technical experts transform complex ML challenges into elegant, scalable solutions that define how AI workloads run in production.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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