Job details

Postdoctoral Researcher in Machine Learning and Optimization

We are Pubstack

Founded in Paris, with customers and team members everywhere!

We are a fast-growing startup based in Paris and founded in July 2018. Backed by prestigious investors, we raised $6 million in Series A round.

First of all, Pubstack is a human adventure.

We are building the most exceptional team to solve complex problems for our customers.

We are a close-knit team of 42 people that likes to believe its workplace feels innovative and its fast-paced environment makes each week feel different and more exciting.

Pubstackers embrace values like genuine collaboration, not taking themselves too seriously, questioning themselves, and being comfortable seeking improvement.

What we are building

Pubstack’s product is an Ad Management platform (SaaS) for web publishers that was created in 2018.

We currently work with over 100 premium publishers across Europe.

As an innovator in Ad Management, Pubstack empowers publishers through a data-driven approach to building, maintaining, optimizing, and monitoring high-performing ad stacks.

Pubstack now offers the only Ad Management platform that empowers publishers’ monetization teams.

Thanks to its powerful technology, they are able to confidently build highly-efficient ad setups – faster than ever before –, to boost their ad revenue, and to make data-based decisions about their ad stack.

Pubstack works with some of the best online media companies in the world – including Le Monde, DPG Media, United Internet Media, Vinted, Webedia, and many more – to ensure they can maintain high inventory quality, make more revenue and deliver exceptional content.

The opportunity:

At Pubstack, we provide a cutting-edge Ad Management solution for leading publishers and ad networks.

As part of our dynamic Tech team, you'll join the Engine squad, where you'll apply advanced machine learning and data-driven techniques to optimize our monetization engine.

Our goal is to offer a tailor-made ad stack for every user, ensuring the best user experience while maximizing revenue for our publishers.

You’ll work alongside talented engineers in a collaborative environment that values innovation and technical excellence.

In addition to solving complex optimization challenges, you’ll contribute to our research efforts by documenting progress and breakthroughs, driving both business impact and scientific innovation.

What will you do?

Optimization of the Monetization Engine:

Utilize advanced machine learning algorithms and data analysis techniques to enhance the performance and efficiency of the monetization engine, ensuring maximum revenue generation for publishers while maintaining an exceptional user experience.

Data Analysis and Interpretation:

Analyze large datasets to identify trends, patterns, and insights that inform optimization strategies, contributing to data-driven decision-making processes within the team.

Documentation and Reporting:

Document research progress, methodologies, and findings related to optimization efforts, preparing detailed reports for the CIR submission that highlight innovations and improvements.

Collaboration with Cross-Functional Teams:

Work closely with engineers, and product managers to integrate machine learning solutions into the Ad Management platform, ensuring alignment with overall business goals and technical requirements.

Continuous Research and Development:

Stay abreast of the latest advancements in machine learning and data science, applying new techniques and tools to continuously improve the monetization engine and contribute to the company's innovative capabilities.

Who are we looking for?