Full-time, SF Bay/Remote

About Quadrant Eye

Quadrant Eye is on a mission to improve eyecare access and fight preventable blindness. We're building the next generation eye exam... inside the average American home.

V1 of our eye exam allows patients to renew their glasses and contact lens prescriptions online. V_final will be an end-to-end exam that can remotely detect eye abnormalities.

Our team wants to enable patients' best and most visually rich lives. To this end, we're looking for curious and nimble minds to help us develop the world's first at-home eye exam and ultimately deliver high-quality eyecare at scale.

Some QE highlights:

🐝 We're a team of surgeons, scientists, and polymath hackers.

💸 Our backers include Y Combinator, Khosla Ventures, and the creator of Google Image Search.

🍥 We're a mission-driven company tackling an eye health market worth $USD137B.

🌟 Our core focus in the coming months is the development of patentable deep tech.

🔬 Our founders:

• Quinn is a Duke and UCSF-trained cataract surgeon who loves skiing up volcanoes, and
• Kristine is a UC Berkeley-trained biologist/engineer who likes exploring ghost towns.

Your Mission as QE's Head of Research:

• Spearhead cutting-edge research that will form the backbone of a new category of telehealth: at-home eyecare.
• Drive an applied research agenda and work alongside the engineering team to translate research results into functional patient-facing products.
• Use first principle thinking to break complex hardware problems into simple and practical software solutions.
• Find, lead, and grow a cross-disciplinary team of PhD-level researchers (computer vision/machine learning, optical engineering, statistics, etc.)
• Actively contribute to the wider research community by sharing findings from internal projects and external collaborations.
• Provide high-level input re: clinical trial design and implementation.
• Assist in drafting patent applications.

tl;dr: We're looking for a formidable Head of Research to help us map out a novel at-home eye exam.

You'll likely enjoy working at QE if you:

• Thrive with lots of autonomy.
• Value being part of a team and can embrace remote-specific teamwork challenges.
• Can think both abstractly and concretely.
• Communicate clearly and kindly.
• Are willing to experiment quickly and publicly.
• Can accept imperfection and own up to inevitable mistakes.
• Want to make a positive impact on the world.
• Are endlessly curious.

We're looking for someone with:

• A PhD in Computer Vision/Machine Learning OR equivalent industry research experience.
• Ability to formulate and own an applied research agenda — focused broadly on the application of deep learning and computer vision to eyecare — that will translate into novel products.
• Ability to define, implement, and time box MVP-style experiments in startup-paced cycles.
• 1+ year experience managing researchers, particularly giving directed feedback on how to optimize models.
• Willingness to help the team with various tasks, even if they are not directly research-related.
• Strong respect for patient privacy and human dignity.
• Eligibility to work in the U.S.