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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Software Engineer II - ML and Observability
Glendale, CA ยท On-site
$103K - $141K/yr
Support real-time ML inference systems that run prediction cycles in production -- including model serving, detection logic, and alert generation * Build AI-driven capabilities using foundation ...
Software Engineer II - ML and Observability
Glendale, CA ยท On-site
$103K - $141K/yr
Support real-time ML inference systems that run prediction cycles in production -- including model serving, detection logic, and alert generation * Build AI-driven capabilities using foundation ...
Principal Software Engineer, Machine Learning Infrastructure
Los Angeles, CA ยท On-site
$145K - $195K/yr
Oversee technical strategy and architecture in ML Inference Platform services * Design, implement, and scale critical engineering components and services to support ML inference and deployment * Work ...
Principal Software Engineer, Machine Learning Infrastructure
Los Angeles, CA ยท On-site
$145K - $195K/yr
Oversee technical strategy and architecture in ML Inference Platform services * Design, implement, and scale critical engineering components and services to support ML inference and deployment * Work ...
Oversee technical strategy and architecture in ML Inference Platform services * Design, implement, and scale critical engineering components and services to support ML inference and deployment * Work ...
Oversee technical strategy and architecture in ML Inference Platform services * Design, implement, and scale critical engineering components and services to support ML inference and deployment * Work ...
Staff Machine Learning Engineer, Generative AI Modeling and Inference
Santa Clarita, CA ยท On-site
$195 - $343/hr
Snap's Generative ML Platform team builds cutting-edge AI technologies that power creative ... side inference. Our team creates intuitive tools, platforms, and agentic systems that empower ...
Staff Machine Learning Engineer, Generative AI Modeling and Inference
Santa Clarita, CA ยท On-site
$195 - $343/hr
Snap's Generative ML Platform team builds cutting-edge AI technologies that power creative ... side inference. Our team creates intuitive tools, platforms, and agentic systems that empower ...
Snap's Generative ML Platform team builds cutting-edge AI technologies that power creative ... Experience building and optimizing ML inference pipelines * Experience working with machine ...
Snap's Generative ML Platform team builds cutting-edge AI technologies that power creative ... Experience building and optimizing ML inference pipelines * Experience working with machine ...
Snap's Generative ML Platform team builds cutting-edge AI technologies that power creative ... Experience building and optimizing ML inference pipelines * Experience working with machine ...
Snap's Generative ML Platform team builds cutting-edge AI technologies that power creative ... Experience building and optimizing ML inference pipelines * Experience working with machine ...
Snap's Generative ML Platform team builds cutting-edge AI technologies that power creative ... Experience building and optimizing ML inference pipelines * Experience working with machine ...
Snap's Generative ML Platform team builds cutting-edge AI technologies that power creative ... Experience building and optimizing ML inference pipelines * Experience working with machine ...
The Inference Specialist, Creative Technology will report to the Sr. Director, Creative Technology ... Experience working with Python-based ML codebases and command-line workflows in Linux environments
The Inference Specialist, Creative Technology will report to the Sr. Director, Creative Technology ... Experience working with Python-based ML codebases and command-line workflows in Linux environments
The Inference Specialist, Creative Technology will report to the Sr. Director, Creative Technology ... Experience working with Python-based ML codebases and command-line workflows in Linux environments
The Inference Specialist, Creative Technology will report to the Sr. Director, Creative Technology ... Experience working with Python-based ML codebases and command-line workflows in Linux environments
The Inference Specialist, Creative Technology will report to the Sr. Director, Creative Technology ... with Python-based ML codebases and command-line workflows in Linux environments Experience ...
The Inference Specialist, Creative Technology will report to the Sr. Director, Creative Technology ... with Python-based ML codebases and command-line workflows in Linux environments Experience ...
Software Engineer II
$103K - $141K/yr
You will participate in the ML lifecycle: feature engineering on time-series data, model training on GPU clusters, real-time inference pipelines, and model improvement. You will partner with ...
Software Engineer II
$103K - $141K/yr
You will participate in the ML lifecycle: feature engineering on time-series data, model training on GPU clusters, real-time inference pipelines, and model improvement. You will partner with ...
The Inference Specialist, Creative Technology will report to the Sr. Director, Creative Technology ... Experience working with Python-based ML codebases and command-line workflows in Linux environments
The Inference Specialist, Creative Technology will report to the Sr. Director, Creative Technology ... Experience working with Python-based ML codebases and command-line workflows in Linux environments
Develop causal inference methodologies to understand true incrementality of product changes ... Proven track record building and deploying ML models in production , particularly in ...
Develop causal inference methodologies to understand true incrementality of product changes ... Proven track record building and deploying ML models in production , particularly in ...
Audio ML Engineer (Research)
Los Angeles, CA ยท On-site
Design solutions that can run on-device (quantized, efficient inference) and/or scale in cloud ... ML Stack: Strong proficiency in Python , PyTorch/TensorFlow, dataset pipelines, evaluation ...
Audio ML Engineer (Research)
Los Angeles, CA ยท On-site
Design solutions that can run on-device (quantized, efficient inference) and/or scale in cloud ... ML Stack: Strong proficiency in Python , PyTorch/TensorFlow, dataset pipelines, evaluation ...
ML Platform Engineer
Los Angeles, CA ยท On-site
$170K - $300K/yr
Expertise in GPU inference optimization, multi-model serving, edge inference, or Go/Rust performance-sensitive AI services. * Background in regulated environments or open-source contributions to ML ...
Quick apply
ML Platform Engineer
Los Angeles, CA ยท On-site
$170K - $300K/yr
Expertise in GPU inference optimization, multi-model serving, edge inference, or Go/Rust performance-sensitive AI services. * Background in regulated environments or open-source contributions to ML ...
ML Platform Engineer
Los Angeles, CA ยท On-site
$170K - $300K/yr
Expertise in GPU inference optimization, multi-model serving, edge inference, or Go/Rust performance-sensitive AI services. * Background in regulated environments or open-source contributions to ML ...
ML Platform Engineer
Los Angeles, CA ยท On-site
$170K - $300K/yr
Expertise in GPU inference optimization, multi-model serving, edge inference, or Go/Rust performance-sensitive AI services. * Background in regulated environments or open-source contributions to ML ...
Software Engineer, ML Infrastructure, Level 4
Los Angeles, CA ยท On-site
$186K - $220K/yr
Develop high-performance inference systems to ensure fast and efficient AI model serving * Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud * Develop ...
Software Engineer, ML Infrastructure, Level 4
Los Angeles, CA ยท On-site
$186K - $220K/yr
Develop high-performance inference systems to ensure fast and efficient AI model serving * Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud * Develop ...
Ml Inference information
See Palmdale, CA salary details
$40.1K - $55.5K
2% of jobs
$55.5K - $71K
3% of jobs
$71K - $86.4K
6% of jobs
$86.4K - $101.9K
9% of jobs
$106.9K is the 25th percentile. Wages below this are outliers.
$101.9K - $117.3K
15% of jobs
The median wage is $127.6K / yr.
$117.3K - $132.8K
22% of jobs
$141.3K is the 75th percentile. Wages above this are outliers.
$132.8K - $148.2K
32% of jobs
$148.2K - $163.7K
3% of jobs
$163.7K - $179.1K
4% of jobs
$179.1K - $194.6K
1% of jobs
$194.6K - $210K
2% of jobs
$40.1K
$131.2K
$210K
How much do ml inference jobs pay per year?
What is ML inference?
What are the key skills and qualifications needed to thrive in ML inference?
What are some common challenges faced by ML inference engineers when deploying models to production?
What is the difference between Ml Inference vs Data Scientist?
| Aspect | ML Inference | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of machine learning models, programming skills | Degree in data science, statistics, or related fields |
| Work Environment | Deploying models in production, real-time data processing | Data analysis, model development, research |
| Industry Usage | AI product deployment, software companies | Research institutions, tech firms, consulting |
ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.
What are popular job titles related to Ml Inference jobs in Palmdale, CA?
For Ml Inference jobs in Palmdale, CA, the most frequently searched job titles are:
What cities near Palmdale, CA are hiring for Ml Inference jobs?
Cities near Palmdale, CA with the most Ml Inference job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 24 days ago
Job description
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
- 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
- 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.
(Los Angeles Only) Base salary range between $229,200.00 - $319,500.00 USD + incentive compensation + equity + 401K with company match + medical, dental, vision, and life insurance + short and long-term disability + open PTO.
About Riot Games
Sourced by ZipRecruiter
Riot Games was founded in 2006 by Brandon Beck and Marc Merrill with the intent to change the way video games are made and supported for players. In 2009, Riot released its debut title League of Legends to worldwide acclaim. The game has since gone on to become the most played PC game in the world and a key driver of the explosive growth of esports. Players are the foundation of our community and it's for them we continue to evolve and improve the League of Legends experience.
Industry
Computer and electronic product manufacturing
Company size
1,001 - 5,000 Employees
Headquarters location
Los Angeles, CA, US
Year founded
2006