Machine Learning EngineerKaedim • San Francisco, CA, United States

Machine Learning Engineer

Kaedim • San Francisco, CA, United States

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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, I’m 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 it’s 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

Entry level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development

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