Creatify is building the world's first end-to-end AI advertising agent to automate the entire video ad lifecycle, and is seeking a Machine Learning Engineer to design and scale advanced models and systems for prediction, recommendation, and generative AI to solve large-scale applied ML problems.
Requirements
- 4+ years of industry experience in software engineering or applied machine learning roles (E5+ or equivalent).
- Proven track record of delivering large-scale systems and solving complex applied ML problems in production.
- Prior experience in a tech lead (TL) capacity, such as driving technical direction, mentoring teammates, or coordinating cross-functional projects.
- expertise in modern generative and foundation model approaches (e.g., LLMs, transformers, diffusion models).
- deep learning, data regression, and rules-based models.
- state-of-the-art deep learning techniques.
- advanced ML methods to fully exploit modern parallel environments (e.g., distributed clusters, and GPU).
Responsibilities
- Research, design, develop, and test operating-systems–level software, compilers, and network distribution software for massive social data and prediction problems.
- Bring extensive industry experience across ranking, classification, recommendation, and optimization problems (e.g., payment fraud, CTR/CVR prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, spam detection), or expertise in modern generative and foundation model approaches (e.g., LLMs, transformers, diffusion models).
- Tackle large-scope problems; develop highly scalable systems, algorithms, and tools leveraging deep learning, data regression, and rules-based models.
- Suggest, collect, analyze, and synthesize requirements and identify bottlenecks across technology, systems, and tools.
- Build solutions that iterate quickly, efficiently leverage orders of magnitude more data, and explore state-of-the-art deep learning techniques.
- Demonstrate strong engineering craft and operate with minimal guidance while mentoring junior engineers.
- Apply advanced ML methods to fully exploit modern parallel environments (e.g., distributed clusters, and GPU).
Other
- full-time, in-person position based in Mountain View, CA.
- mentor junior engineers while occasionally leading projects.
- Lead small teams or projects where necessary, providing technical guidance, code reviews, and architectural direction.
- Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or a related field.
- 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.
