Los Angeles, California, USA
4 days ago
Machine Learning Engineer (Hybrid / Culver City)

We are looking for a talented Machine Learning Engineer to join a leading global technology company that is revolutionizing responsible marketing for social platforms such as YouTube, Meta, TikTok, and Snap. With a focus on using AI to provide brands with accurate and transparent content adjacency solutions, this company is at the forefront of transforming the marketing landscape. In this role, you’ll leverage your expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to process massive datasets and create high-impact models that drive smarter, data-driven marketing decisions.

If you have a passion for AI, machine learning, and working with large-scale social media data, this is your opportunity to play a key role in shaping the future of digital marketing.

What You’ll Do: Build and Optimize Models: Design, develop, and fine-tune Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems that enhance marketing measurement and brand suitability across major social platforms. Work with Large Datasets: Handle and process terabytes of social media data, building machine learning models that provide actionable insights and drive brand optimization. Collaborate with Cross-Functional Teams: Partner with engineering, data, and product teams to integrate your models into the company’s platform, ensuring scalability and peak performance. Improve Model Efficiency: Use distributed systems to optimize model performance and scale solutions effectively across large datasets. Ensure Code Quality: Maintain high standards for testing and code review, ensuring reliability, security, and quality of machine learning solutions. Stay Ahead of the Curve: Continuously explore new technologies and innovations in AI, applying cutting-edge methods to solve complex challenges. What We’re Looking For: Experience: 7+ years of professional experience in machine learning engineering, with a focus on LLMs and RAG systems. Technical Expertise: Proficiency in Python and SQL (particularly with Snowflake). Strong background in training, fine-tuning, and deploying large-scale machine learning models. Data Handling: Solid experience working with large datasets and distributed systems for machine learning. Software Engineering Skills: Deep understanding of data structures, algorithms, and software design principles. Nice-to-Have: Experience with computer vision and a strong interest in exploring new machine learning techniques and frameworks. Communication: Strong verbal and written communication skills, with the ability to collaborate effectively across diverse teams. Passion for Innovation: A keen interest in leveraging emerging technologies to create innovative solutions. Why Join Us? Impactful Work: Be part of a leading company that is at the cutting edge of responsible marketing across the world’s largest social platforms. Career Growth: Gain exposure to innovative technologies and grow within a company committed to your professional development. Competitive Compensation: Enjoy a competitive salary and comprehensive benefits package. Work-Life Balance: Flexible remote work options, with 2-3 days per week onsite in Marina Del Rey, CA. Collaborative Environment: Work alongside a talented and motivated team in a dynamic, fast-paced environment.

If you’re an experienced Machine Learning Engineer with a strong background in LLMs, RAG, and machine learning systems, and you’re ready to take on a high-impact role in the marketing technology space, we’d love to connect. Join a forward-thinking team where your work will shape the future of digital marketing solutions.

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