Zenni was founded on the idea that everyone who needs glasses should be able to afford high-quality frames and top-of-the-line lenses. By selling directly from our factories to our customers through our website we save them money and offer a huge selection of options. We have state-of-the-art production facilities and advanced prescription edging labs that get custom eyewear delivered within 14 days. We have delivered more than 50 million pairs of glasses, and are headquartered in Novato. Find out more about us at www.zennioptical.com
Requirements
We are seeking passionate machine learning engineers with expertise in multimodal computer vision and NLP applications. Working closely with a team of experienced engineers and researchers, you will design, implement, and evaluate multimodal machine learning models
- 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
-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
- 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
Benefits
- An opportunity to abrupt the industry
- A competitive salary package
- The flexibility to work from almost anywhere
- A flexible work schedule promoting work-life balance
- Continuous growth opportunities alongside exceptional colleagues
