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Live In Riot Games Support Jobs in Santa Cruz, CA

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Live In Riot Games Support information

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$11

$18

$23

How much do live in riot games support jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for live in riot games support in Santa Cruz, CA is $18.80, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $20.24 per hour, depending on experience, location, and employer.

What is the difference between Live In Riot Games Support vs Riot Games Customer Service Representative?

AspectLive In Riot Games SupportRiot Games Customer Service Representative
CredentialsCustomer support experience, gaming knowledgeCustomer support experience, gaming knowledge
Work EnvironmentOn-site, live-in support at Riot facilities or designated housingRemote or on-site customer service roles
Employer & Industry UsageRiot Games, gaming industry, live-in support rolesRiot Games, gaming industry, customer service roles
Search & Comparison IntentUnderstanding live-in support roles at RiotCustomer service roles at Riot

Live In Riot Games Support involves providing on-site, live-in assistance directly at Riot facilities, often requiring a more immersive gaming environment. In contrast, Riot Games Customer Service Representatives typically handle support remotely or on-site without living arrangements. Both roles require gaming knowledge and customer support experience but differ mainly in work setting and responsibilities.

What are the main challenges faced by a Live In Riot Games Support and how can applicants prepare for them?

A Live In Riot Games Support professional often deals with assisting gamers in real-time, which requires strong communication skills, patience, and the ability to troubleshoot technical issues quickly. The fast-paced environment can mean handling multiple requests simultaneously, sometimes during peak gaming hours. Applicants should be prepared to work collaboratively with other support agents and escalate complex issues to specialized teams when necessary. Staying up-to-date with game updates and community guidelines is also crucial for providing accurate assistance.

What are the key skills and qualifications needed to thrive as a Live In Riot Games Support, and why are they important?

To thrive as a Live In Riot Games Support, you need a deep understanding of gaming, especially Riot Games’ titles, along with troubleshooting and customer service expertise, often supported by relevant experience or certifications. Familiarity with support ticketing systems, live chat platforms, and knowledge base tools is typically required. Strong communication, empathy, and problem-solving skills help deliver exceptional support and resolve player issues efficiently. These abilities are crucial for ensuring player satisfaction and maintaining the reputation of Riot Games’ support services.

What is a Live In Riot Games Support?

Live In Riot Games Support roles are customer service positions at Riot Games, the company behind popular games like League of Legends and VALORANT. These support agents assist players with technical issues, account problems, in-game concerns, and general inquiries. They interact with players through various channels including live chat, email, and sometimes phone support. Employees in these roles are expected to have strong communication skills, a good understanding of Riot’s games, and a commitment to providing a positive player experience.
What are popular job titles related to Live In Riot Games Support jobs in Santa Cruz, CA? For Live In Riot Games Support jobs in Santa Cruz, CA, the most frequently searched job titles are:
What job categories do people searching Live In Riot Games Support jobs in Santa Cruz, CA look for? The top searched job categories for Live In Riot Games Support jobs in Santa Cruz, CA are:
What cities near Santa Cruz, CA are hiring for Live In Riot Games Support jobs? Cities near Santa Cruz, CA with the most Live In Riot Games Support job openings:
Live In Riot Games Support jobs near you
Infographic showing various Live In Riot Games Support job openings in Santa Cruz, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $39,110 per year, or $18.8 per hour.

Machine Learning Scientist 5 - GenAI for Games

Netflix

Los Gatos, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 3 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.
The Team
The Studio Media Algorithms team is at the forefront of algorithmic innovation to enhance and support the creation of Netflix's entertainment content, including games. In this role, you will be embedded within this team while collaborating very closely with a specialized Games Studio R&D team. This incubation-style team is chartered to lead our investments in building new kinds of games leveraging emerging technologies to support our creators and reach player audiences in new ways.
The Role
We are seeking a Machine Learning Scientist to lead the research and development of Large Language Models (LLMs), Vision-Language Models (VLMs), and multi-modal foundations and solutions for games. This role is defined by a mandate for inference efficiency; you will not only build and fine-tune state-of-the-art models but also lead the algorithmic innovation required to make them viable in terms of cost, latency, and quality across a variety of cloud and edge devices.
You will work in close partnership with our Machine Learning Engineers to bridge the gap between "research-grade" models and high-performance deployment, with your focus being on algorithmic optimization-ensuring that our language, visual, and audio models are architecturally optimized for real-time interaction and efficiency.
Responsibilities
  • Model Adaptation & Alignment: Design and own the fine-tuning and alignment of LLMs and VLMs in PyTorch, leveraging modern preference learning and reinforcement learning to enhance reasoning, tool-use, and agentic workflows for interactive game systems.
  • Algorithmic Model Optimization: Lead efforts in model compression-specifically knowledge distillation, structural pruning, and architectural refinement-to create efficient variants of large models that meet strict latency, cost, and quality constraints.
  • Speech Interaction: Adapt, optimize, and integrate speech (ASR/TTS) models with language models to enable low-latency, cross-modal reasoning.
  • Generative Visuals & Diffusion: Develop and optimize Diffusion-based models for Image, Video, and 3D generation.
  • Pragmatic Model Integration: Strategically evaluate and integrate SOTA open-source and commercial models while building internal "layers," adapters, and enhancements to fill gaps in creative control.

About You (Requirements)
  • Multi-modal Architecture Expertise: Strong foundation in deep learning architectures, with deep expertise in Transformers and Diffusion architectures powering LLMs, VLMs, and generative visuals, including their specific performance bottlenecks.
  • Optimization Specialist: Proven track record in algorithmic model optimization (e.g., distillation, quantization-aware training, or pruning) to reduce FLOPs and memory footprint.
  • Data-Centric Mindset: Skilled in data cleaning, curation, and the creation of synthetic data for complex evaluation and training pipelines.
  • Pragmatic Builder: Ability to prioritize impact by deciding when to use commercial APIs/OSS weights versus when to invest in proprietary R&D to solve efficiency or quality problems.
  • Programming: Expert proficiency in Python and deep learning frameworks (such as PyTorch); ability to collaborate with engineering on low-level performance constraints.

Bonus Experience
  • Prior experience optimizing models for heterogeneous hardware (Mobile, Cloud GPU, and custom edge devices).
  • Expertise in audio-visual multimodal models and video generation.

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.
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.

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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