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Genai Engineer Jobs in Oregon (NOW HIRING)

OR

$466K - $750K/yr

We are looking for a Senior ML Engineer to bridge the gap between cutting-edge AI research and shipped game features. You will be a core technical contributor, responsible for implementing GenAI ...

OR · On-site

This role owns the end-to-end technical strategy for iHerb's AI Platform and GenAI product ... Represent engineering in cross-functional conversations with product, data science, security, and ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion ...

AI Vibe Coding Engineer

OR · Remote

$64K - $72K/yr

This role is ideal for engineers passionate about GenAI, rapid prototyping, AI coding agents, product experimentation, and modern developer tooling. You will work closely with product, design, and ...

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. * Partner with leaders, product owners, architects, and engineers to align priorities and ...

OR · On-site

GenAI meets product. Personalized message and asset creation is a natural application of multimodal AI. You'll be at the forefront of bringing GenAI capabilities into a production messaging system at ...

You'll collaborate with expert engineers on high-impact GenAI security challenges while growing your expertise and your influence on where the product goes next. What Will You Do? Primary ...

You'll collaborate with expert engineers on high-impact GenAI security challenges while growing your expertise and your influence on where the product goes next. What Will You Do? Primary ...

You will work with a variety of flows fundamental to modern silicon engineering: modeling and ... Using AI tools for SystemVerilog design, validation, optimization, and understanding GenAI ...

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions. * Partner with leaders, product owners, architects, and engineers to align priorities and ...

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Showing results 1-20

Genai Engineer information

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

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

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.
What are popular job titles related to Genai Engineer jobs in Oregon? For Genai Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Genai Engineer jobs in Oregon look for? The top searched job categories for Genai Engineer jobs in Oregon are:
What cities in Oregon are hiring for Genai Engineer jobs? Cities in Oregon with the most Genai Engineer job openings:
Infographic showing various Genai Engineer job openings in Oregon as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 6% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior ML Engineer, GenAI - Games

Netflix

OR

$466K - $750K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 5 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

70th of 76 rated media


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

Come be a part of what's next. We are looking for a Senior ML Engineer to bridge the gap between cutting-edge AI research and shipped game features. You will be a core technical contributor, responsible for implementing GenAI models into our production pipelines and game engines.

You won't just be prompted with ideas; you'll be building the infrastructure and logic that brings those ideas to players. Key Responsibilities Implementation & Integration: Lead the technical integration of GenAI tools and techniques into existing game engines (Unity/Unreal/Proprietary) and development workflows. Feature Prototyping: Work directly with designers to build functional, AI-native gameplay mechanics-such as dynamic narrative systems, procedural asset generation, or intelligent NPC behaviors.

Optimization & Inference: Own the performance side of GenAI. You will optimize model latency and memory footprints to ensure AI features don't compromise game frame rates. Pipeline Automation: Develop and maintain "AI superpower" tools for internal teams, such as automated texture generation, level design assistants, or code-completion agents.

Technical Mentorship: Provide guidance to mid-level and junior engineers on ML best practices, data privacy, and the ethical implementation of AI in creative spaces. Bridge Research & Production: Translate complex AI research papers and open-source models into stable, production-ready code that aligns with our player experience goals. Qualifications Game Development Background: 5+ years of experience in the games industry.

You have a solid grasp of game loops, memory management, and what it takes to get a feature through a "Live Ops" cycle. Practical GenAI/ML Experience: 3+ years of hands-on experience with Machine Learning/GenAI tools/techniques in a product-driven environment. Software Engineering Excellence: Strong proficiency in languages like C++ and C#, with the ability to write clean, maintainable code within a large, complex codebase.

Infrastructure Familiarity: Experience with model fine-tuning, and managing the end-to-end ML lifecycle (data prep to deployment). Problem Solver: You thrive in the "grey area" of emerging tech and can pivot quickly when a specific model or approach doesn't meet the needs of the game design. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses.

You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00

This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.

Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.

If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully.

We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.


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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997