Machine Learning Engineer

Who We Are

Zenni Optical, the world's leading online eyewear retailer, pioneered the industry in 2003 with a mission to make prescription eyewear affordable and accessible to everyone. Based in the San Francisco Bay Area, Zenni offers adults and children the freedom to express their personal style through high-quality prescription and protective eyewear curated with a sense for fashion and an incredible selection. With over 55 million frames sold worldwide, the company has brought massive price disruption to the traditional retail model.

Zenni is proud to be the Official Eyewear of the San Francisco 49ers, the Boston Celtics, Chicago Bulls, USA Volleyball, Columbus Crew, Ghost Gaming, TSM and more. Zenni has worked with designers and tastemakers on curations and collections, including Keke Palmer, Iris Apfel, Chase Stokes and George and Claire Kittle.

With our recent EyeQLenz and VR Prescription Lenses for Meta Quest 3, we continue to innovate and serve our mission to help the world see better and live better.

Check out our Press Room for more information.

You will:

• Develop multimodal machine learning models for tasks like image captioning and cross-modal retrieval using PyTorch.
• Collaborate with data scientists and software engineers to integrate multimodal models into production systems.
• Stay up-to-date with the latest advancements in machine learning research.

You are:

• Thinking statistically: You can model any given data and implement a toolbox of algorithms to make statistically informed predictions and recommendations.
• A maker: You have a hacker’s spirit. You can write clean and maintainable code to get the job done. You are not afraid of “rolling your own” tools when you can’t find the solution that you need.
• A good communicator: You are good at written and verbal communication. You write good documents and reports for both technical and non-technical audiences.

You have:

• BS or MS in Computer Science, Applied Mathematics, or a related field.
• Expertise in Python. Experience with Julia, Rust, or R is a plus.
• Solid understanding of computer vision and natural language processing concepts.
• A curious mind: You find pleasure in learning about new technologies, studying research papers, and experimenting with different processes to refine them.
• Familiarity with cloud computing platforms, such as GCP, is a plus.
• Proven proficiency in PyTorch is a big plus.
• A strong Kaggle or GitHub profile is a big plus.

We look forward to hearing from you!

We strive to build a diverse team of individuals with a broad range of experience and perspectives. We encourage you to apply even if you don’t feel you meet all the qualifications.