Modal

Customer Engineer

Modal6 months ago
Location

New York

Type

Full Time

Salary

USD 150,000 – 230,000

Level

Senior

Role

Customer Engineer

Posted

Sep 23, 2025

Full TimeSenior

The role

Summary

Modal is seeking a Customer Engineer who will bridge technical support and platform engineering, working directly with AI and ML developers to solve complex infrastructure challenges. The ideal candidate will have deep technical expertise in low-level systems and AI/ML, capable of debugging, improving platform performance, and creating scalable solutions that enhance the customer experience.

What you'll do

Customer Technical Support: Provide direct technical assistance to developers and ML engineers through Slack, email, and calls, helping them debug and optimize their AI workloads
Platform Improvement: Develop and ship code that addresses customer pain points, creating features and automation to enhance the Modal platform's overall user experience
Systems Optimization: Design scalable tooling, dashboards, and automated workflows to improve support efficiency and customer satisfaction
Feedback Translation: Convert field insights into concrete platform improvements, including documentation updates, API changes, and new feature proposals
Community Engagement: Contribute to open-source projects, create technical demos, and publish content to support the broader developer community

What we look for

Technical

Infrastructure KnowledgeDeep understanding of operating systems, file systems, networking, performance profiling, cluster management, and distributed systems
AI/ML EngineeringExperience with model training, inference optimization, GPU workloads, and ML infrastructure development

Education

Technical DegreeBachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

Systems ExpertiseProven track record of solving complex technical challenges in low-level infrastructure or AI/ML domains
Automation SkillsDemonstrated ability to identify and eliminate manual processes through engineering solutions

Skills

Required skills

Low-Level SystemsExpertise in infrastructure, networking, and distributed computing technologies
AI/ML Technical SkillsStrong understanding of machine learning workflows, model training, and GPU-accelerated computing
CommunicationExceptional ability to explain complex technical concepts clearly to both technical and non-technical audiences

Nice to have

Open Source ContributionExperience contributing to or maintaining open-source projects in infrastructure or ML domains
Cloud InfrastructureFamiliarity with modern cloud computing platforms and serverless architectures

Compensation & benefits

Salary

USD 150,000 – 230,000 (annual)

Stock options

Available

Benefits

Startup Equity

Opportunity to join a high-growth AI infrastructure company at an early stage with significant equity potential

Professional Development

Work alongside creators of popular open-source projects and experienced engineering leaders

Cutting-Edge Technology

Exposure to advanced AI infrastructure and the opportunity to solve complex technical challenges


Interview process

  1. 1
    Initial Screening Technical resume review and initial phone screen with recruiting team
  2. 2
    Technical Interview Deep-dive interview focusing on systems expertise, AI/ML knowledge, and problem-solving skills
  3. 3
    Practical Challenge Technical assessment or take-home project demonstrating infrastructure and debugging capabilities
  4. 4
    Team Interview Interviews with current engineering team members to assess cultural fit and technical collaboration skills
  5. 5
    Final Discussion Meeting with engineering leadership to discuss role expectations and potential contributions

Apply for this position

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