THE OPPORTUNITY
A role worth
a closer look.
Partner with AI teams to improve production workloads on Modal, from language-model serving to training and audio pipelines. The role blends deep performance investigation with customer architecture discussions. Engineers also contribute examples or open-source work and help product teams understand the constraints customers encounter in deployment.
Experience highlighted by the employer
- At least two years of professional ML engineering experience, ideally involving serving, training, GPUs or infrastructure.
- Develop depth in a serving or training toolchain and explain architectural tradeoffs to technical customers.
Location & eligibility
The vacancy lists New York and San Francisco. The description requires in-person work and also mentions Stockholm as an alternative; this listing covers its US locations. Work authorization and sponsorship are not specified.
Compensation
USD $180,000–$250,000 / year. Employer-published annual salary range, plus equity. The in-person requirement is stated in the description even though the ATS work-model field is empty.
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