About the team
At Equativ, we’re on a mission to develop advertising technologies that empower our customers to reach their digital business goals. This means that we rely on massively scalable, widely distributed, highly available, and efficient software systems; the platform deals with over 3 million requests per second (+250 billion/day) managed by 3,000 servers with less than 250ms response time.
Our innovation team based in Paris, Nantes, Bordeaux, Limoges, Krakow and Berlin is composed of 150+ straightforward and energetic engineers working in an Agile environment and ready to tackle the most complex technical challenges.
Your mission
You will join the data-science team based in Paris and be responsible for designing awesome machine learning algorithms to make our products smarter.
We train our models in Google Cloud Platform with billions of logs, and serve them in our own data centers. We use Google Dataflow, AI Platform and Tensorflow. Our neural networks generate 1 million predictions per second, each prediction processed in less than 2 ms.
You will have the chance to work on all kinds of machine learning problems (classification/regressions, time series, NLP, recommandation, reinforcement learning…) with all the data you can dream of (even more than that 😉 ) and see the impact of your work every day.
What you’ll do ✏️
- Build robust, scalable model-serving infrastructure for real-time decision making as well as research and A/B testing
- Act as a subject matter expert for ML best practices and productionization
- Partner with core engineering teams to translate business objectives into ML solutions
- Proactively identify failure modes and implement automated testing and rollback strategies
- Lead technical discussions and influence roadmap priorities
About you
- 5+ years of experience in machine learning engineering, with at least 2+ years in senior/staff level role
Minimum qualifications:
- Great programmer with strong coding skills in Python
- Proficiency in machine learning frameworks (like Keras or PyTorch) and scientific libraries (like scikit-learn)
- Experience in an object oriented language like C#, Java or Scala
- Experience with cloud infrastructure (GCP/AWS) and distributed data system (BigQuery, Spark, Kafka)
- Good understanding of general data science algorithms and machine learning
- Good knowledge of math, probability and statistics
- Strong awareness in production and industrialisation
Nice to have:
- Experience in AdTech
- Experience in building GenAI prototypes and applications
- Working proficiency and communication skills in verbal and written English
- Participation in data science competitions like Kaggle
- Passion for playing with large volume of data
- You like data visualization and frontend development
- Devops spirit
About us
Equativ, a leading independent ad platform, brings scale and simplicity to digital advertising.
Following its recent merger with Sharethrough and the acquisition of Kamino Retail, advertisers, media owners, and technology partners rely on Equativ’s advanced SSP, curation, and retail media services and technology to achieve maximum business outcomes.
With a focus on privacy-first programmatic video, CTV, and data-driven solutions, Equativ enables clients to activate across the digital ecosystem while protecting consumer privacy.
The company’s global expertise is also backed by a team of over 750 employees across 19 countries.
As a proud recipient of the HappyIndex@Work label, Equativ is committed to providing a dynamic, flexible workplace where employees thrive, grow, and excel in both their professional and personal lives.
Come and lead the charge with us in building a transparent ecosystem based on quality!
———————-
Equativ is an equal opportunity employer. Equal access to employment, services, and programs are available to everyone, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you require reasonable accommodation throughout the application and/or interview process, please contact the recruitment team at ta-team@equativ.com
