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Hrysoula Papadakis

Hrysoula completed her undergrad and masters degrees at Stanford where she focused on CS theory and biocomputation. She has since worked at startups related to search and healthcare. In her spare time, you can find her reading or eating brunch.

Alex Flint

During his PhD in computer vision at Oxford, Alex also worked at Google and MIT. From 2012 through 2014, Alex worked at an early stage indoor navigation startup called Flyby Media based in NYC. Alex is interested in ethics, effective altruism, and the future of AI.

Jackie Lee

Jackie received her M.S. and Ph.D. degrees from MIT, where she built unsupervised machine learning models to discover linguistic structures from speech data. She has previously worked at Google and Microsoft Research. In her spare time, Jackie enjoys going to theaters and traveling the world.

Jay Patel

Jay did research at MIT in high school, studied CS at Stanford, continued at Stanford for a masters, but took leave to learn faster at Kite. He got a Best Paper Award from ACM, did ML research on Knowledge Graph at Google, and does yoga every morning.

Antonio Bustamante

Antonio is a designer and programmer at Kite. While studying CS in Spain and Sweden, he started a creative agency, working on UX for healthcare. He most recently worked at a top industrial design firm, designing products for companies like Jawbone and Samsung.

Juan Lozano

Juan studied CS and theoretical physics at Stanford before starting Blusofa and joining as the first engineer at InsideMaps, where he worked on computer vision algorithms, optimization, and object recognition. In his spare time Juan enjoys basketball, tennis, music, and mathematics of all sorts.

Keien Ohta

Keien graduated from Berkeley after doing HCI research at the Berkeley Institute of Design. In his spare time Keien beta tests new video games.

Ashton Braun

Ashton works on the business side of Kite, focusing most of his attention on building the team and business operations. Prior to Kite, he was a part of the early business development team at AnyPerk, and even (once upon a time) worked for the United States Senate.

Tarak Upadhyaya

Tarak interned at Dropbox when it was 3 people, including him. After MIT, Tarak spent 5 years with a small team building a full web search engine from scratch in C++ (acquired by Twitter). At Counsyl, he helped scale a robotic DNA sequencing lab. When he's not coding, he's on a motorcycle or at the gym.

Adam Smith

Adam started selling shareware online at 13. After studying CS at MIT, Adam founded Xobni (Y Combinator '06), which was acquired by Yahoo seven years later. Adam founded Kite, and is a long-time Burner.

Noah Tye

Prior to Kite, Noah was a tech lead on Twitter's Growth team, where he spent three years learning how users behave. Noah previously earned half a degree from Olin College, where he did research on indoor location services and played in the Conductorless Orchestra.

Join us

We're looking for driven, adventurous people.

A little about Kite

  • Funded by top investors in Silicon Valley
  • Experienced, deeply technical team
  • Office in downtown San Francisco
  • Machine Learning
  • Description

    • Design and implement statistical models in a novel, underexplored domain
    • Work on a wide variety of modeling problems, including information retrieval, text processing, tree processing, and time-domain analysis
    • Derive, prototype and build production statistical algorithms in Python and Go
    • Design and build evaluation systems to validate the performance of statistical models
    • Build interfaces and systems to gather data
    • Work closely with UX, UI, and backend systems experts
    • Build production pipelines using both distributed (map-reduce) and non-distributed approaches
    • Collaborate with other machine learning experts


    • Master's degree, PhD, or equivalent training in statistics and machine learning
    • Two+ years of experience working in a software engineering role
    • Prefers doing ground-breaking work (versus incremental improvements to the state of the art models)

    Experience Needed

    • Statistics including kernel methods, graphical models, and unsupervised learning
    • Applying data mining techniques, machine learning and pattern recognition
    • Tree structured data processing including structured pattern recognition
    • Designing and developing secure cross-platform software, both standalone and networked
    • Data structures for large scale text indexing and retrieval
    • Planning and designing statistical validation software frameworks in a distributed setting
    • Parallel optimization of text mining and machine learning techniques, including SVMs and clustering techniques
  • Backend Systems
  • Description

    • Build production services in a distributed setting with offline and online components
    • Work with rich data sets, even when they are noisy and are evolving
    • Constantly make design trade-offs
    • Adapt quickly as functionality expands and business goals refocus


    • Two+ years of experience working in a systems engineering role
    • Ability to understand, build, and evolve large systems
    • Familiarity with current tools and best practices for devops, ETL data pipelines, production servers
    • Familiarity with modern computing stacks: networking, storage tiers, OS's, containers, build systems, etc.
    • Able to quickly enumerate design options, understand tradeoffs, and make the right decisions based on experience
  • Full Stack Web
  • Description

    • Use web technologies to build first-of-its-kind user experiences, including multiple-simultaneous-pages, rich data navigation/consumption, and community design
    • Make framework-level design decisions for a Go-based backend
    • Rapidly iterate


    • Multiple years of experience building web-based applications
    • Familiarity with database schema design, TCP/HTTP/websocket networking, HTML/CSS/JS, React.js is a plus
    • Basic skills in UX design, able to describe usability tradeoffs
    • Comfortable moving quickly amongst projects, working with large systems
  • Desktop
  • Description

    • Write desktop applications that provides refined user experiences despite the challenges of the desktop setting
    • Write and use cross-platform libraries alongside platform specific code
    • Build and maintain systems to support the desktop apps you write, including server-side services for error reporting, etc


    • Familiarity with building desktop software, including topics like error reporting, installers, updaters, permissions
    • Understanding of the history of at least one desktop platform's evolution, frameworks, and API's (Windows, Ubuntu, or OS X)
    • Obsession over getting details right
    • Experience with the edge cases of the desktop setting (odd clock behaviors, monitor configs, ..)

Wanna join? Fly with us


Our investors include SV Angel, founders from Dropbox, Paypal, Palantir, Quora, and WordPress, amongst other amazing investors.