Deep Learning Engineer (Computer Vision)

About Zenni

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

You will:

• Develop and implement image classification and document understanding models to enhance user experience on our website and mobile applications. 
• Create robust training and experimentation frameworks to ensure consistent and accurate model performance.
• Translate research into practical engineering solutions and products.
• Contribute to computer vision innovations to advance our capabilities. 
• Maintain full ownership and accountability for systems that directly influence our business operations.

You Are:

• Thinking statistically: You have exceptional expertise in statistics and machine learning, allowing you to derive meaningful insights from data. You build sophisticated predictive models and identify optimal algorithms to solve real-world problems.
• A maker: You have a resourceful mindset and strong capabilities in developing solutions. You write robust, maintainable code and can create custom tools as needed to achieve objectives.
• A good communicator: You possess excellent written and oral communication abilities. You document work clearly and share knowledge across teams. You actively collaborate, listen to feedback, and stay open to new ideas to drive progress.

Requirements

You have:

• Bachelor's or Master's degree in Computer Science, Applied Mathematics, or related field.
• Expert-level proficiency in Python.
• Advanced experience with PyTorch and familiarity with PyTorch Lightning.
• Demonstrated ability to develop robust and effective deep learning models.
• Exceptional software engineering acumen.
• Strong background in Computer Vision, including expertise with modern architectures such as ConvNext and ViT, and comprehensive knowledge of diverse downstream applications.
• Prior experience with self-supervised learning techniques is a plus.
• Experience with multimodal models such as CLIP or generative models such as diffusion models is advantageous.
• Prior experience in the e-commerce industry is preferred.
• A strong presence and valuable contributions within open-source communities, such as Kaggle or GitHub, are preferred.

Benefits

Zenni offers you:

• Competitive compensation and benefits package.

• Fun work environment.

• Opportunities for career progression.