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 Mission & Who We Are Looking For:
PhD or equivalent research depth, with a production track record. You have a PhD in CS, Statistics, Math, or Physics (or an MSc with extensive industry research) and a track record of peer-reviewed publications in fields like Computational Advertising, Auction Theory, Mechanism Design, or Game Theory. You’ve spent 4+ years optimizing complex systems through automated algorithms in AdTech, marketplaces, or high-frequency trading.
You translate research into production, not just prototypes. You distill SOTA research into robust, production-ready code optimized for sub-millisecond latency. At adjoe, that means architecting sophisticated auction mechanics, real-time bidding engines, and allocation algorithms serving millions of requests across a stack built on 770 million users.
Deep expertise in Reinforcement Learning and Optimization. You have hands-on, deep theoretical and technical expertise in objective-based optimization, control theory, or RL applied specifically to bidding, pricing strategy, and budget pacing under extreme production constraints.
Mastering high-dimensional data at scale. Large-scale Bayesian inference and handling sparse, high-dimensional advertising data are core to your work. You are strongly proficient in Python and related stacks, and know exactly how to architect scalable data pipelines to feed real-time optimization models.
Raises the technical bar around them. You lead architectural debates, collaborate tightly with Product Managers and Engineers to map business goals to mathematical objective functions, mentor junior scientists, and drive the team’s research direction without needing a roadmap handed to you.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
Go Big. Own projects with impact on 770M users and push adtech boundaries.
Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
Be Direct. Solve problems openly and collaborate across teams.
Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
Skills Required
- PhD in Computer Science, Statistics, Mathematics, or Physics, or an MSc with extensive industry research experience
- 4+ years optimizing complex systems through automated algorithms in AdTech, marketplaces, or high-frequency trading
- Peer-reviewed publications in computational advertising, auction theory, mechanism design, game theory, or related fields
- Production track record translating state-of-the-art research into robust, production-ready code
- Experience architecting auction mechanics, real-time bidding engines, or allocation algorithms
- Deep theoretical and practical expertise in reinforcement learning, objective-based optimization, or control theory
- Experience applying optimization techniques to bidding, pricing strategy, or budget pacing
- Strong proficiency in Python and related machine learning and data-processing stacks
- Experience with large-scale Bayesian inference and sparse, high-dimensional advertising data
- Ability to architect scalable data pipelines for real-time optimization models
- Experience optimizing systems for sub-millisecond latency and high-throughput production environments
- Ability to lead architectural discussions, collaborate with product and engineering teams, mentor junior scientists, and drive research direction
What We Do
adjoe is a leading advertising and monetization platform providing publishers and advertisers with cutting-edge solutions to engage their audience and scale their business. By harnessing the power of rewarded engagement and premium targeting we help advertisers reach their most valuable users. adjoe’s proprietary technologies give publishers the opportunity to level up their current monetization strategies in order to create a meaningful engagement loop for users and grow revenue.
Why Work With Us
Despite our diverse nationalities and backgrounds, we work with one mindset, one goal, five values – and with a lot of fun. Whether that’s from our modern office in the city center or from home. Besides working in tight-knit teams, we trust you to own your learning, tasks, and technology to make great things happen.
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