Machine Learning Engineer (San Francisco) Job at Kaedim, San Francisco, CA

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  • Kaedim
  • San Francisco, CA

Job Description

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This range is provided by Kaedim. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $180,000.00/yr

Hi there! My name is Konstantina, Im the founder of Kaedim. The inspiration for starting Kaedim came back in 2019 when I took a 3D modelling and a 3D animation course at university while studying Computer Science. I remember thinking, How hard can it be? The answer turned out to be: very.

From trying to address my own frustration, fast forward six years later:

  • we are helping hundreds of game, product design, and e-commerce companies accelerate their 3D asset production pipelines in their daily work.
  • We are supporting one of the top 10 games of all times as well as the largest e-commerce platform.
  • we are profitable since 9 months post-launch
  • we have raised our Series A from tier 1 Silicon Valley investors

The problem we are working towards solving is incredibly hard, but its what makes our work unique and rewarding. We are building Kaedim one day at a time and looking for ambitious people to join our mission. If you're driven and ready to solve complex problems, Kaedim is the place for you!

Here is how we work: GitHub link.

Check out our recent demo and our website.

Please Note: The salary ranges provided above are specific to San Francisco. Below are the corresponding salary ranges for other locations, based on 0-5 years of experience:

  • London: 45k 80k
  • Singapore: S$80k S$145k

For Working With Us You

  • Must be eager to be involved with both AI and product dev.
  • Must have done this before, or be willing to learn fast.
  • Must be customer driven. We think customers first and so should you.
  • Must be driven to go above and beyond.
  • Must be able to explain and communicate clearly.
  • Must be able to work autonomously.
  • Must want to work hard.
  • Must be a strong communicator, capable of justifying decisions, proposing new ideas and explaining ML concepts to the rest of the team

Responsibilities

  • Coming up with solutions to hard problems
  • Making proof of concepts
  • Coming up and implementing improvements on existing ML algorithms
  • Bringing other team members up to speed
  • Report on key ML-related KPIs
  • Iterate based on customer feedback

Nice to haves

  • Experience with 3D modelling would be a big plus

Seniority level

  • Seniority level

    Entry level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Software Development

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Job Tags

Full time,

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