Senior/Staff Machine Learning Engineer at StackAdapt
Deutschland, , Germany -
Full Time


Start Date

Immediate

Expiry Date

13 Jul, 25

Salary

0.0

Posted On

13 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity.
We’re looking to add Senior and Staff Machine Learning Engineers to our Data Science team! This team works on solving complex problems for StackAdapt’s digital advertising platform. You’ll be working directly with our Data Scientists, Machine Learning engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there’s no shortage of data and problems to tackle.
Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/
Learn more about our team culture here: https://www.stackadapt.com/careers/data-science
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU
StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK for this position.

Responsibilities


    • Design modular and scalable real time data pipelines to handle huge datasets

    • Suggest, implement, and coordinate architectural improvements for big data ML pipelines
    • Understand and implement custom ML algorithms in a low latency environment
    • Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently
    Loading...