Courses and programmes from universities and institutions worldwide.
Senior/Staff ML Scientist - Bidding & Optimization (f/m/d)
Get alerts for roles like this
More Senior/Staff ML Scientist - Bidding & Optimization (f/m/d) roles in Berlin — straight to your inbox. No account needed.
Applying to this role? Tailor your résumé to this job description in one click, then download it free — just a small ResumeKart footer, no subscription.
Job Description
adjoe builds the technologies behind mobile app growth and monetization, challenging the status quo of adtech by redefining how apps acquire users and generate revenue.
Our two products, Playtime Arcade and adjoe Ads, sit at opposite ends of the mobile advertising spectrum: rewarded engagement and programmatic in-app advertising.
Together they run on 13% of the world’s smartphones , connecting advertisers, publishers, and hundreds of millions of users, with one goal: making mobile advertising work better for everyone in the ecosystem.
Next-Gen Machine Intelligence for Auctions & Real-Time Bidding The Data Science Research team builds the foundational algorithms that govern real-time bidding, budget pacing, and allocation mechanics across our products.
Operating as a horizontal deep-tech layer, the team leverages advanced AI—specifically reinforcement learning, objective-based optimization, and control theory—to deliver critical systems that perfectly harmonize advertiser ROI, platform health, and user relevance.
These frameworks scale adjoe’s products beyond standard industry limitations, utilizing behavioral and transactional data from over 770 million users . The team operates at the intersection of high-load, low-latency engineering, auction mechanism design, and state-of-the-art machine learning .
Acting as the company’s internal science bar raiser, they translate complex business constraints into mathematical objectives.
The stack is optimized for high throughput: PyTorch for training deep learning and RL models, distributed architectures for large-scale Bayesian inference, Trino and Athena for querying massive user-behavior data lakes, and dedicated GPU infrastructure.
The full lifecycle of these AI capabilities is owned by the team—from academic paper translation and offline prototyping to deploying core algorithmic frameworks built to sustain ultra-low latency, real-time production environments evaluating tens of thousands of requests per second. Your Missio
Required Skills
Upskill for This Role
Courses from Udemy and edX matched to this role's skills.

Deep Learning for Object Detection with Python and PyTorch

(Ken Cen出品)Generative AI第24部 使用Pytorch編寫 Stable Diffusion 上部

RNNs for Time Series with PyTorch

Applied Machine Learning & Deep Learning with PyTorch

Comprehensive Introduction to PyTorch

Deep Learning con Python e PyTorch: Teoria e Pratica
ResumeKart may earn a commission from these links at no extra cost to you.
Partner picks for Senior/Staff ML Scientist - Bidding & Optimization (f/m/d) in Berlin
Matched to the skills this page calls for and the candidate's location.
- edXVerified partnerPartner course providercovers machine learning
- Partner course provider
University and industry courses, professional certificates and online degrees.
covers machine learning - Partner course provider
Free online courses from IITs and IISc, with proctored certification exams.
covers machine learningChennaiVisit partner →
Partners are ResumeKart affiliates or institutes it works with; ResumeKart may earn a commission when a candidate enrols. Placement is decided by relevance, not payment. How ResumeKart earns
Similar Jobs
Other open roles matched to this job's skills and location.
Prepare to Win This Role
Everything you need to ace the interview and negotiate top-of-band compensation.