Staff Engineer, Applied ML — Industrial AI Platform

getcircuit; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Circuit is seeking a Staff Engineer, Applied ML in Austin, TX to lead end-to-end ML initiatives that power our industrial product. You will collaborate with Forward Deployed Engineers and Product Engineers to turn real-world challenges into scalable, robust ML solutions, focusing on accuracy, reliability, latency, and cost.

You’ll work with LLMs, traditional neural nets, and model frameworks, shaping capabilities that scale across customers and use cases while partnering with design customers on

Qualifications

• Experience building production ML or AI features for customer-facing products.
• Ability to design end-to-end ML systems with attention to accuracy, latency, and cost.
• Skilled in evaluating model selections and deployment strategies for reliability.

Responsibilities

• Own the engineering solution from concept to production delivery for ML capabilities.
• Collaborate with FDEs, Product Engineers, and design customers to translate problems into robust implementations.
• Build scalable, reusable components and shared capabilities across customers and use cases.

Skills

ML

Go

Applied ML

LLMs

VLMs

Tools

KServe

Job description

Circuit is seeking a Staff Engineer, Applied ML in Austin, TX to lead end-to-end ML initiatives that power our industrial product. You will collaborate with Forward Deployed Engineers and Product Engineers to turn real-world challenges into scalable, robust ML solutions, focusing on accuracy, reliability, latency, and cost.

You’ll work with LLMs, traditional neural nets, and model frameworks, shaping capabilities that scale across customers and use cases while partnering with design customers on