AI/ML Director
Corsair Gaming
Milpitas, CA · Posted June 22, 2026
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Where Milpitas, CA ranks
Where Milpitas, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #12Best cities for mid-career professionals in the West Coast60% · of 71
- #17Best cities for manufacturing and industrial pay after cost of living$132k · of 35
- #19Best cities for pay after cost of living in California$149k · of 32
- #20Best all-round cities for mid-career professionals in the West Coast46 / 100 · of 39
- #20Best all-round cities for AI careers in the West Coast44 / 100 · of 39
- #21Cities with the most jobs that need no experience in the West Coast0.8% · of 66
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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About the job
ABOUT THIS ROLE
CORSAIR is building a production-grade AI/ML capability spanning intelligent automation, agentic systems, predictive analytics, and data engineering. As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical contributor. You will architect and build AI/ML systems that directly affect how the business operates, engage stakeholders across functions to surface automation opportunities, and own the full AI/ML lifecycle end-to-end
WHAT YOU WILL DO
Technical Leadership (40%)
Lead and manage a team of engineers and contractors across multiple AI/ML and automation workstreams; own delivery standards, architecture quality, and team development
Architect agentic AI systems end to end: multi-agent orchestration, tool use, memory management, human-in-the-loop controls, and evaluation frameworks
Own the AI/ML technical roadmap; evaluate build vs. buy tradeoffs and align with VP-level stakeholders
Engage business stakeholders across functions to map workflows, identify automation opportunities, and translate operational requirements into AI-driven solutions
Individual Contribution (60%)
Design and ship production-grade agentic AI systems using modern LLM orchestration frameworks; own orchestration logic, state management, and output evaluation
Build durable, fault-tolerant automation pipelines using workflow orchestration tools such as Temporal; design for reliability, retry logic, and long-running distributed tasks
Develop and deploy predictive ML models; own the full lifecycle from feature engineering through production monitoring
Implement RAG systems, vector retrieval pipelines, and prompt engineering strategies at scale; apply LLM fine-tuning when it delivers better ROI than retrieval or prompting
Build and maintain data engineering pipelines (dbt, Dagster, Spark, Microsoft Fabric); diagnose data quality issues that affect AI system reliability
Own MLOps infrastructure: experiment tracking, model versioning, retraining pipelines, and drift detection
WHAT YOU BRING
Required
6+ years in AI/ML engineering or applied data science, with at least 1-2 years in a technical lead role
Proven experience designing and deploying agentic AI systems in production: orchestration, tool use, memory, and evaluation
Strong Python and SQL; hands-on with LLM frameworks (LangChain, LangGraph, CrewAI, Strands, or equivalent) and cloud AI platforms (AWS Bedrock, Azure AI Foundry, or Microsoft Fabric)
Experience with durable workflow orchestration tools such as Temporal, Airflow, or Step Functions
Solid ML fundamentals and end-to-end pipeline ownership; experience with data engineering tooling (dbt, Dagster, Spark)
Demonstrated ability to lead engineers technically and communicate tradeoffs to VP-level stakeholders
Preferred
Experience in gaming, consumer electronics, or hardware/peripherals
Familiarity with LLM fine-tuning (LoRA, PEFT), vector databases, generative AI for images, or MLOps tooling (MLflow, W&B)
Exposure to Docker, Kubernetes, and CI/CD pipelines for ML workloads
Experience working cross-functionally with Product, Finance, Legal, and Operations stakeholders
For roles that are based at our headquarters in Milpitas, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future.
Annual Salary Range $170,000—$210,000 USD
CORSAIR (NASDAQ:CRSR), founded in 1994, is a leading global developer and manufacturer of high-performance gaming and streaming gear. With 21 different product lines, CORSAIR offers a complete range of products that help digital athletes perform at their peak and enable streaming creators to produce studio-quality content for their fans. CORSAIR has built a passionate base of loyal customers due to its gamer- and creator-centric design philosophy, commitment to high performance, and professional quality.
The company has received more than 4,000 product awards and has a footprint that reaches customers in more than 75 countries. CORSAIR also includes subsidiary brands Elgato, which provides premium studio equipment and accessories for content creators, SCUF Gaming, which builds custom-designed controllers for competitive gamers, ORIGIN PC, a builder of custom gaming and workstation desktop PCs and laptops, Drop, a community-driven company that designs and curates enthusiast keyboards and peripherals, and Fanatec, a leading manufacturer of high-end sim racing hardware.
BENEFITS:
Comprehensive medical, dental, and vision benefits
Bonus
401K Plan
Tuition Assistance
Employee Discount Purchase Program
Paid Parental Leave
Employee Stock Purchase Program
Generous paid time off and holidays
Pet Insurance