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Machine Learning Engineer

Hyperbound · San Francisco · On-site

USD 260,000–300,000 / year

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Company
Hyperbound
Location
San Francisco
Work mode
On-site
Open to applicants from
On-site/hybrid: local candidates
Level
Not specified
Employment
Full-time
Field
Data & AI / Machine learning & AI
Stated pay
USD 260,000–300,000 / year
Posted
2026-08-28 (2 months ago)
Visa sponsorship mentioned
Not mentioned
Listing source
Ashby

Machine learningWorkday AI / ML engineering & research

About the role

We’re probably not the right fit for you. THE REALITY We're in the office five days a week in San Francisco. We move fast and expect a lot. We’re most effective when everyone is in the same room, thinking out loud, catching each other's mistakes early. You'll own your models end to end, training through production. We trust you to handle that. You'll spend most of your time working fine-tuning and running open source models in production, pushing models on-device, and building the evaluation frameworks that tell us whether a change actually worked instead of trusting our gut. This will probably be one of the hardest jobs you've had. We think it'll also be one of the more exciting ones, and…

Excerpt only. Read the full description and apply at the original posting on Ashby. We list jobs from public job-board feeds and do not alter employer content beyond this excerpt.

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