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

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 ...

Armada

AI Engineer

Bellevue, WA · On-site

You will be responsible for building ML/DL models tailored to specific challenges, preparing ... good Python, Java, and/or C/C++ programming skills. * Familiarity with containers, numeric ...

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

$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 ...

Allen Institute

AI Research Scientist

Seattle, WA · On-site

Demonstrated experience developing and evaluating novel AI/ML approaches for complex, large-scale datasets * Proficiency in Python and modern deep learning frameworks (e.g., PyTorch, JAX) * Strong ...

Allen Institute

AI Research Scientist

Seattle, WA · On-site

Demonstrated experience developing and evaluating novel AI/ML approaches for complex, large-scale datasets * Proficiency in Python and modern deep learning frameworks (e.g., PyTorch, JAX) * Strong ...

Alaska Airlines

Manager, AI

Seatac, WA

$149K - $224K/yr

Proficiency in Python and experience with AI/ML libraries such as TensorFlow, PyTorch, Scikit-Learn, and XGBoost. * Strong expertise in machine learning, deep learning, and Generative AI (e.g., GPT ...

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How much do python ai ml jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for python ai ml in Renton, WA is $65.94, according to ZipRecruiter salary data. Most workers in this role earn between $54.33 and $74.90 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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Senior Compiler Engineer - AI

NVIDIA

Redmond, WA • On-site

$117K - $160K/yr

Full-time

Re-posted 12 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Job Summary:
NVIDIA is a leader in computer graphics and AI technology, seeking a Senior Compiler Engineer with expertise in compiler technologies. The role involves driving innovative solutions in compilers and developer tools through applied machine learning and AI, focusing on building AI-driven compiler intelligence for production pipelines.
Responsibilities:
• Join a team driving innovative solutions in compilers and developer tools through applied machine learning and AI.
• Collaborate with world-class engineers to shape next-generation compiler capabilities that power large-scale, high-impact products.
• Design and implement end-to-end compiler optimization workflows, from feature engineering and model development to compiler integration and production rollout.
• Develop and integrate learning-based decision systems into compiler passes, code generation flows, and optimization pipelines.
• Build robust interfaces between LLM systems and compiler infrastructure for optimization recommendations, decision support, and workflow automation.
• Partner with compiler, architecture, and performance teams to validate impact on representative workloads and benchmark suites.
• Lead experimentation, evaluation, and deployment with strong standards for reliability, scalability, and performance.
Qualifications:
Required:
• BS/MS/PhD in Computer Science or a related field (or equivalent experience), with a focus on machine learning and compiler/developer tools.
• 8+ years of software engineering and AI/ML experience, preferably in tools or systems development.
• Strong knowledge of compilers, code generation, and GPU architecture.
• Demonstrated proficiency in 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 optimization passes, code generation, or frontend integration.
• Experience building or integrating LLM-based systems, agents, or developer tooling in production environments.
Preferred:
• Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems.
• Proven track record of deploying AI/ML solutions in production and embedded environments.
• Strong experience integrating LLMs into systems workflows with attention to reliability, latency, and evaluation quality.
• Demonstrated measurable outcomes such as runtime gains, compile-time improvements, or efficiency improvements on real-world workloads.
• Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance engineering.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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