Description
We’re looking for a senior software engineer (full stack) with 3+ years of experience in building browser extensions and web applications. If you have a keen interest in integrating machine learning models for personalized content recommendation, you could be an excellent fit for our team!
About Glasp:
Glasp is a social web highlighter that people use to highlight and organize quotes and ideas from the web seamlessly, and access other like-minded people’s learning simultaneously. With generative AI, we aim to offer personalized outputs such as a writing assistant, research assistant, personalized summary, digital twins, and more.
- Available Applications: Explore our Chrome Extension and Safari Extension. We are also excited to be in the process of building a mobile/tablet app, using GraphQL with Rust for our native iOS and Android applications.
- Media Exposure: We are featured in several media such as Forbes, The Economic Times, Make Use Of, PC Gamer, Ness Labs, Aurelius Tjin’s YouTube, UC Berkeley’s Blog, and more.
- Team Structure: Join our tight-knit team of three, comprising a co-founder, a software engineer, and a design & backend expert, as we work to rewrite and strengthen our browser extensions and web applications.
Why are we building Glasp?
Mission: To democratize access to other people’s learning and experiences that they have collected throughout their lives as a utilitarian legacy. As Glasp stands for "Greatest Legacy Accumulated as Shared Proof", we want to visualize one’s contribution to human knowledge history.
Vision: To provide access to the highlighted world’s information in one click.
What you will be doing:
- Spearhead the rewriting and strengthening of our browser extension and web application.
- Build native mobile/tablet apps for both iOS and Android with GraphQL and Rust.
- Incorporate basic ML for building a personalized recommendation system.
Experience that we’re looking for:
- Proven experience building web applications and browser extensions using Javascript, NextJS, and other modern frameworks.
- Experience in building native mobile/tablet apps for both iOS and Android.
- Familiarity with Firebase/Firestore, GraphQL, Rust, Typescript, and Python.
- Basic knowledge in AI/ML for recommendation systems is a plus!
- Ideally located in San Francisco, but remote work is welcome from any time zone, with a daily standup at 8 PM PT.
Benefits:
- Enjoy a flexible and collaborative remote working environment.
- Be part of a team that values constant communication and daily syncs for fast and efficient teamwork.
- Benefit from a 3-month probation period to ensure a mutually beneficial partnership.
Join us in our mission to enhance and democratize access to knowledge. Look forward to talking to you!
Best,
Team Glasp
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