AI/ML Engineering Manager

Posted 21 Days Ago
Be an Early Applicant
Milpitas, CA, USA
In-Office
170K-210K Annually
Senior level
Gaming • Hardware • Sports
The Role
Lead and hands-on build production-grade agentic AI/ML systems and automation pipelines. Manage engineers, own technical roadmap, design orchestration, implement RAG/vector retrieval, develop predictive models, maintain data engineering and MLOps infrastructure, and engage stakeholders to deliver reliable end-to-end AI solutions.
Summary Generated by Built In

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

About Us

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

Skills 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, evaluation)
  • Strong Python and SQL
  • Hands-on with LLM frameworks (LangChain, LangGraph, CrewAI, Strands, or equivalent)
  • Experience with 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
  • 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
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The Company
HQ: Fremont, CA
1,800 Employees
Year Founded: 1994

What We Do

Founded in 1994, CORSAIR has grown from pioneering the high-performance DRAM market into one of the world’s leading providers of high-performance PC peripherals and components. CORSAIR offers a complete range of products to equip gamers, enthusiasts and e-sports athletes.

Why Work With Us

What does it mean to be part of the Corsair Team? It means being part of a winning culture that stems from the products we develop, the customers we build them for and most of all our employees who make it all happen.

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