Senior Staff Machine Learning Engineer
Flex- Full Time
- Senior (5 to 8 years)
Zefr is the leading global technology company enabling responsible marketing in walled garden social environments. Zefr’s solutions empower brands to manage their content adjacency on scaled platforms such as YouTube, Meta, TikTok, and Snap, in accordance with industry standard frameworks. Through its patented AI technology, Zefr offers brands and agencies more accurate and transparent solutions for social walled gardens. The company is headquartered in Los Angeles, California, with additional locations across the globe.
We are hiring a Machine Learning Engineer focused in ML Operations to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes of YouTube, TikTok, Facebook and other social media data. In this role, you will implement infrastructure to support machine learning systems at scale processing hundreds of millions of social media videos daily. You will be working with state-of-the-art models, including large language models, to build sophisticated compound AI systems. We are excited to welcome someone who is passionate about cutting-edge research in machine learning and computer vision. We want an individual who can keep up-to-date with the ever-expanding field of Machine Learning Operations. This is a role where we both expect to learn from you and have you learn from us!
The anticipated base salary for this position is between $170,000 and $190,000. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.
Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better. We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.
Contextual advertising technology for brands
Zefr focuses on contextual advertising, helping brands place their ads alongside relevant content without using personal information. Their technology is especially effective for video ads on platforms like YouTube and Facebook, allowing brands to reach specific audiences while maintaining user privacy. Zefr's Contextual Data Management Platform organizes brand preferences to deliver targeted ad campaigns with high engagement rates. The company differentiates itself by prioritizing privacy-compliant advertising, making it a valuable partner for brands looking to optimize their digital marketing efforts.