Summary written by USA Jobs 24 from Riot Games' advert and our data on 17,030 current US jobs. How we check every job
At a glance
Riot Games is hiring a Staff Machine Learning Engineer - Game Tech Group, ML Platform in Los Angeles, CA. It is a full-time role in Data, AI & Analytics, asking for at least 6 years of experience, first listed on November 1. The description mentions Machine learning, CI/CD, Terraform and Generative AI. Riot Games has 82 other openings in the US, 82 of them in Los Angeles, CA. Across all employers on USA Jobs 24 there are 48 Data & AI openings in Los Angeles, CA today; the typical one asks for 7 years and advertises about $202,000 a year at the midpoint.
How the pay compares
Riot Games has not published pay for this job, or we could not find it in the advert. Of the 797 data & AI jobs in California on USA Jobs 24, 75% show pay, and the typical yearly midpoint among them is $229,000. That gives you a fair starting point when the subject comes up. California has a pay transparency law that requires most employers to give a pay range for jobs there, so it is reasonable to ask the recruiter for it.
Skills in this advert
How often each skill named in this advert appears across the 1,778 data & AI jobs we list today. Machine learning is the most widely requested (38% of jobs), while Terraform is the least common (3%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on Riot Games' Greenhouse site on November 1 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Los Angeles, CA. If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 6 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Machine learning, CI/CD and Terraform, wherever they are true for you. Our resume guide shows how.
- Apply only through Riot Games' own site. Our Apply button goes straight to Riot Games' Greenhouse page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Riot Games
Riot Games has 83 openings on USA Jobs 24 today. Most are in software & IT (45), data & AI (14) and product & design (4). The biggest locations are Los Angeles, CA (83) and Redwood City, CA (2). None of them is fully remote, 1% are open to entry-level candidates and 1% show pay. We collect Riot Games' jobs every day straight from its own careers system (Greenhouse), never from job boards or agencies.
The employer's advert
This is Riot Games' own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from Riot GamesHide the advert898 words
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in many broader domains. As a Staff Machine Learning Engineer at Riot, you’ll also dive into projects that focus on team cohesiveness and cross-team goals. You’ll lead without authority and provide other engineers with a clear illustration of extraordinary engineering.
Riot Games is building the next generation of its ML Platform to support AI and machine learning systems across game development, player experiences, and internal tools. We’re looking for a Staff Machine Learning Engineer to help design and scale the infrastructure powering a wide range of ML workloads and evolving AI systems across Riot. The ML Platform team builds and operates the shared infrastructure behind Riot’s AI ecosystem, including model serving, orchestration, feature management, and deployment workflows. Our goal is to help teams across Riot move ML systems from experimentation into reliable production services quickly and confidently. As a Staff Machine Learning Engineer on the ML Platform team, you will architect systems for model deployment, observability, and lifecycle management while helping shape the long-term direction of Riot’s ML platform. You will apply modern MLOps practices to improve reliability, scalability, and developer experience for teams building AI-powered products across Riot. You will report to the Engineering Manager.
Responsibilities:
- Design and operate AI & ML inference infrastructure, including deployment pipelines and CPU/GPU-aware orchestration
- Develop CI/CD workflows that enable rapid iteration and safe promotion from development to production
- Optimize infrastructure supporting varied model architectures, from foundation models to gradient boosted trees, for high throughput, low latency, and high availability
- Establish and evolve ML deployment best practices, including multi-version models, blue/green rollouts, shadow deployments, and rollback strategies
- Improve developer experience by reducing operational complexity and simplifying platform onboarding
- Influence long-term platform architecture and help shape technical direction across Riot’s ML ecosystem
- Collaborate with researchers and game teams to understand product needs and build reusable platform capabilities
- Use modern AI-assisted development tools and workflows thoughtfully to accelerate iteration, while maintaining engineering quality and reliability
Required Qualifications:
- 6+ years of experience in engineering, with time spent on ML/AI, platform or infrastructure teams
- Experience operating inference platforms such as KServe and production ML infrastructure including Feast, Milvus, or similar open-source systems
- Experience with one or more inference serving frameworks, including NVIDIA Triton/Dynamo, TorchServe, or similar systems
- Familiarity with GPU orchestration, performance tuning, and cost-aware scheduling
- Experience with CI/CD workflows, infrastructure-as-code (e.g., Terraform), and artifact management
- Experience building and operating services within distributed or service-oriented architectures
Desired Qualifications:
- Experience building ML infrastructure within a real-time, or latency-sensitive environment
- Hands-on experience with optimizing ML & AI deployments (LLMs, diffusion models, etc.) for throughput, latency and reliability
- Familiarity with agentic workflows and orchestration frameworks for LLM-based systems
- Passion for player experience, game systems, or creative technology development
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.
At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
- Safeguarding confidential and sensitive Company data
- Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
- Accessing Company assets, secure digital systems, and networks
- Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
USA Jobs 24 copied this listing from Riot Games' official careers site on November 1, 2026 and checked it again November 4, 5:17 AM ET. Riot Games will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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