At Clearspace we help people reduce compulsive phone usage.

We exist to protect people's attention from the exploits of modern technology platforms and make space for the things that matter to them most.

We believe the technology to protect someones attention should be just as sophisticated and effective as the tech that is exploiting it and are building a world-class engineering team to arm the world with a comprehensive attention protection stack.

About Clearspace

Clearspace is building the intentionality layer of the internet. Our mission is to build technology as effective at protecting human attention as social media is at exploiting it (infinite scrolling, short-form feeds, manipulative notifications, etc). Our category defining mobile app has been featured on Huberman Lab, New York Times Wirecutter, NPR Marketplace, Forbes, TBPN.

People that want a better relationship with their devices have nowhere to turn except for willpower. We are building an agent that achieves this on all devices by processing and filtering network traffic based on natural language rules.

About The Role

We are looking for an ML-focused engineer that will be responsible for training and improving a model for classifying network traffic. You are great for this role if you are not only excited about the latest in AI and ML but are also a problem-solver in the data domain. You don’t just think about the model but “how can we get more data volume”; “how can we featurize the data intelligently”; “what are our data needs based on our task and desired model size”, and like building backwards from inference requirements.

Responsibilities

• Own implementation of production model that classifies network traffic
• Create tooling for data gathering
• Work directly with the founders to define research direction
• Move fast and autonomously

Qualifications

• Bachelor or higher Computer Science or related engineering degree
• Experience in training production-grade sequential models, particularly on time-series data
• Willing to work onsite in San Francisco

Nice to Have

• Specific experience with network traffic
• Graduate research experience

Our tech stack is SwiftUI for mobile, GraphQL for the backend, and React for the Web.