Machine Learning Engineer, Tech Lead

Creatify Lab Inc • Mountain View, CA

105d

About The Position

We’re hiring a Machine Learning Engineer to design and scale advanced models and systems for prediction, recommendation, and generative AI. In this role, you’ll work on large-scale applied ML problems, build state-of-the-art solutions, and mentor junior engineers while occasionally leading projects. This is a full-time, in-person position based in Mountain View, CA.

Requirements

• Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or a related field.
• 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.

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).
• Lead small teams or projects where necessary, providing technical guidance, code reviews, and architectural direction.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree