Machine Learning / Senior Engineer (Culver)

We are a trailblazing global technology company that is revolutionizing digital marketing through AI-driven solutions. With a focus on ensuring responsible and transparent marketing practices, we provide brands with innovative tools to optimize content adjacency on top social platforms like YouTube, Meta, TikTok, and Snap. Our mission is to reshape how brands engage with audiences, and we’re looking for a talented Senior Machine Learning Engineer to be a part of this exciting journey.

Role Overview:
As a Senior Machine Learning Engineer, you will be at the forefront of advancing AI technology to improve how brands interact with social media content. You’ll play a pivotal role in developing cutting-edge models using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to process vast amounts of data. By leveraging your expertise in machine learning, you’ll help deliver highly accurate marketing solutions that allow brands to make data-driven decisions with confidence.

Key Responsibilities:

• Develop and Enhance Models: Take the lead in designing, building, and refining advanced LLMs and RAG systems that optimize brand performance on social platforms.
• Work with Big Data: Engage with massive datasets, developing machine learning models that extract meaningful insights and drive smarter marketing strategies.
• Collaborative Innovation: Work closely with product, engineering, and data teams to integrate machine learning models into the company's platform, ensuring robust performance and scalability.
• Optimize for Performance: Focus on model efficiency, employing distributed systems to handle large data volumes and optimize solutions for speed and accuracy.
• Ensure Code Quality and Reliability: Maintain a high standard of code quality through thorough testing and code reviews, ensuring that solutions are secure and reliable.
• Stay Ahead of Trends: Continuously explore new AI methods and technologies, applying innovative techniques to address challenges in the marketing industry.

What We’re Looking For:

• Experience: 7+ years of professional experience in machine learning engineering with a strong focus on LLMs, RAG systems, and large-scale model deployment.
• Technical Expertise: Proficiency in Python and SQL (with a particular focus on Snowflake), as well as experience in training and fine-tuning complex machine learning models.
• Data Handling: Extensive experience with large-scale datasets and distributed systems, and a deep understanding of how to build solutions that scale across massive data sets.
• Software Engineering Skills: Strong grasp of algorithms, data structures, and software design principles, with an emphasis on building production-grade systems.
• Bonus: Familiarity with computer vision techniques or a keen interest in exploring new machine learning frameworks and approaches.
• Communication Skills: Excellent verbal and written communication abilities, with the capacity to collaborate across a variety of technical and non-technical teams.
• Innovation-Driven: A strong desire to work on emerging technologies and contribute to the development of innovative AI solutions in digital marketing.

Why You Should Join Us:

• Impact: Join a leading company that is making a significant difference in the digital marketing landscape, working with the world’s largest social media platforms.
• Career Growth: Be part of an innovative, growth-oriented company that invests in your professional development and exposure to cutting-edge technologies.
• Competitive Compensation: Receive a competitive salary and comprehensive benefits package designed to support your career and lifestyle.
• Work-Life Balance: Flexible hybrid working options with 2-3 days per week onsite at our Marina Del Rey, CA location.
• Collaborative Culture: Work alongside a passionate, talented team in a dynamic and fast-paced environment where your contributions will have a direct impact.

If you’re a Machine Learning Engineer with a passion for AI, large-scale datasets, and solving complex challenges, this is the perfect opportunity to elevate your career. Help us transform the future of digital marketing and make an impact on a global scale. Apply now!