AI Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Company stage

Series A From the posting source checked Jun 20, 2026

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Engineer Los Angeles, California, United States Capsule is building the world's most intuitive AI-powered video editing tool, designed for modern teams. We're a Series A startup led by two serial founders who have built and scaled creative platforms used by hundreds of millions of people. We're backed by top-tier investors behind Webflow, Figma, Slack, and Replit. We've grown quickly. In less than a year since leaving public beta, 100+ enterprise teams-including HubSpot, ServiceNow, and Instacart-use Capsule to create high-quality, on-brand video content at scale. We are seeking a skilled AI Engineer to join our team and help develop the next generation of our video editing tool. In this role, you will work closely with our founders and product and engineering teams to design, implement, and deploy ML models that power new and improved features for our product. ‍ Responsibilities - Research and evaluate new ML techniques and technologies that can be applied to our product - Collaborate with cross-functional teams to identify and prioritize ML feature development opportunities - Develop and implement ML models and algorithms to power these features - Optimize model performance and accuracy through testing and iterative development - Participate in code reviews and provide technical guidance to other team members - Staying up-to-date with the latest trends and best practices in ML engineering - Work fast and enjoy the rapid pace of an early stage startup - Have fun working with other highly-skilled team players in a zero-ego work environment - Bring new ideas to

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