AI Engineer
AI Summary
An AI Engineer designs, implements, and deploys ML models to power video editing features for a Series A AI video editing startup. They collaborate cross-functionally, optimize model performance, and contribute in a fast-paced, early-stage environment.
About this role
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 the table that expand the capabilities of the product and delight customers
Requirements
3+ years of experience as an AI/ML engineer in a commercial software development setting
Computer Science or related degree
Strong proficiency in Python and at least one deep learning framework (e.g. PyTorch)
Experience with data preprocessing, feature engineering, and model selection and optimization
Experience building and deploying ML models in production environments
Strong problem-solving and communication skills
Highly-motivated, entrepreneurial-minded, high EQ
Strong communication and organization skills
Interest in video technology in general
Experience with CI/CD a plus
Benefits
Competitive compensation including salary and stock options
Comprehensive insurance benefits — medical, dental, vision, life
Generous paid time off
Skills
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