Skip to main content

Modal

Customer Engineer

New York$150k–$220kfulltimemidAdded 1 month ago

About this role

Modal is seeking a Customer Engineer with expertise in AI/ML and low-level systems to enhance customer support through technical solutions. This role demands direct interaction with clients while also contributing to platform improvements and automation.

What you'll do

  • Fix bugs and develop features that benefit all users
  • Assist customers with debugging and optimizing workloads
  • Create scalable tools and automated workflows for efficient support
  • Transform customer feedback into actionable improvements
  • Contribute to open-source projects and technical content

What they're looking for

  • Experience in low-level infrastructure
  • Proficiency in AI/ML engineering
  • Strong automation mindset
  • Excellent communication skills
  • Knowledge of operating systems and networking
  • Capability in performance profiling and distributed systems

Benefits

  • Opportunity to work with industry-leading clients
  • Contribute to cutting-edge AI infrastructure
  • Collaborative and innovative work environment
  • Potential for professional growth in engineering
  • Engagement with open-source community
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

Modal

Modal builds a cloud platform for running large-scale AI workloads and infrastructure, enabling companies to deploy and optimize production machine learning systems. The company is hiring Forward Deployed Engineers to work directly with AI customers, Infrastructure Security Engineers to strengthen platform security, and Developer Relations Engineers to engage the developer community with technical content and best practices.

Website
modal.com
View all jobs at Modal

Likely interview questions

  • Walk us through a time you debugged a complex infrastructure or performance issue in production. How did you approach it, and what did you learn?
  • Describe your experience with GPU workloads, distributed systems, or low-level infrastructure. What's the most challenging optimization problem you've solved?