AI Research Engineer
Department: AI Research & Engineering
Location: Mountain View
Compensation: $190K – $300K • Offers Equity
Employment Type: FullTime
About Creatify
Creatify is building the world’s first end-to-end AI advertising agent—a platform that automates the entire video ad lifecycle, from scripting and avatar-led generation to testing, optimization, and publishing across Meta, TikTok, YouTube, and more.
In just 18 months, we’ve surpassed $10 million in ARR, serving over 1.5 million users across 10,000+ teams. Leading brands—including Alibaba, HubSpot, Binance, NewsBreak, and Zumper—use Creatify to produce personalized, high-performing video ads in minutes.
We have raised $24M in funding from leading Silicon Valley firms including WndrCo, Kindred Ventures, Millennium New Horizons, NFDG, Comcast Ventures, Creator Ventures, Leadout Capital, Hat Trick Capital, and many more. Check out our latest coverage by Fast Company, TechCrunch, Bloomberg TV, and our recognition as one of IVP Enterprise AI 55 in 2024.
Based in Mountain View, we are a team of passionate AI researchers, engineers, and advertising veterans. Join us in reinventing the advertising industry with AI.
About this role
We're hiring an AI Research Engineer. We're open to professionals with a few years of experience and ambitious new graduates. In this role, you'll work closely with our Chief AI Scientist and other researchers to develop and shape Creatify's industry-leading AI video ad models.
This is a full-time, in-person position based in Mountain View, CA.
Responsibilities
Participate in the entire lifecycle of AI projects, from problem definition to deployment.
Develop and implement LLM and multimodal models, experimenting with novel algorithms and techniques.
Collaborate with cross-functional teams to integrate AI solutions into our products and services.
Contribute to research that can be published in top-tier conferences.
Qualifications
Having a Master or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Strong foundation in algorithms, linear algebra, statistics, and machine learning principles.
Strong coding skills in Python and ML frameworks (e.g., TensorFlow, PyTorch).
Curiosity and a strong desire to learn and tackle challenging problems.
Excellent communication skills, with the ability to work well in a team environment.
Last but not least, you are genuinely a nice person.
We are an equal opportunity employer and highly value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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