Equativ

Senior Machine Learning Engineer

Reposted 10 Days Ago

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Paris, Île-de-France

Hybrid

Senior level

AdTech • Marketing Tech

Fulfilling the Promise of AdTech

The Role

Design machine learning algorithms and build scalable model-serving infrastructure. Collaborate effectively with core teams on ML solutions and lead discussions.

Summary Generated by Built In

👫 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 our Paris-based Data Science team, where you’ll be responsible for designing robust machine learning pipelines and supporting functions that make our products smarter. We leverage Google Dataflow, Vertex AI, and TensorFlow to power models that generate millions of predictions per seconds, each processed in under 2 milliseconds.

You will have the opportunity to tackle a wide range of machine learning challenges in a high QPS serving environment including classification, regression, time series, neural networks, NLP, and reinforcement learning. You’ll work with massive datasets and see the real-world impact of your solutions 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
Proven experience with Vertex AI, including the design and implementation of ML pipelines on GCP
Define ML best practices and lead technical discussions and influence roadmap priorities
Partner with core engineering teams to translate business objectives into ML solutions
Manage and prioritize tasks while ensuring timely delivery under high impact environment
Proactively identify failure modes and implement automated testing and rollback strategies

About you 💪

5+ years of experience in machine learning engineering, with at least 2+ years in senior/staff level role

Minimum qualifications:

Hands-on experience with Vertex AI, covering the end-to-end design and deployment of ML pipelines on GCP
Proficiency in machine learning frameworks (like Tensorflow, Keras, or PyTorch) and scientific libraries (like scikit-learn)
Strong proficiency in Docker, including containerizing ML applications and deploying them in production environments
Great programmer with strong coding skills in Python
Experience in an object oriented language like C#, Java or Scala
Experience with cloud infrastructure (GCP/AWS) and distributed data system (BigQuery and Clickhouse)
Experience troubleshooting and resolving incidents in a fast-paced, high-pressure environment
Strong awareness in production and industrialisation

Nice to have:

Experience in AdTech
Experience in building GenAI prototypes and applications
Good understanding of general data science algorithms and machine learning
Good knowledge of math, probability and statistics
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!

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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 [email protected]

Top Skills

Ai Platform

BigQuery

Google Cloud Platform

Google Dataflow

Java

Kafka

Keras

Python

PyTorch

Scala

Scikit-Learn

Spark

TensorFlow

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The Company

HQ: Paris

550 Employees

Year Founded: 2001

What We Do

As a leading independent ad tech platform, we provide brand and privacy-safe solutions that empower our clients to achieve maximum results. We offer the market an independent ad server, SSP, buyer tools, media services, and more.  

This combination of engineering excellence and client expertise helps us serve the interests of both the supply-side and the demand-side with equal professionalism and technical sophistication.   

And, as we work toward fulfilling on the promise of advertising technology, we also keep the consumer and their rights in mind in all we do

Our objective? Disrupt the digital advertising industry through high-performance solutions, innovative formats, and exceptional quality.

Our pride? A global and diverse team that flourishes through a corporate culture advocating ownership and who live through three essential values: Be brave, Be thoughtful, Be together.

Why Work With Us

Accelerate your career. Our global training events, online training courses, and fantastic people leaders offer unlimited opportunities to develop and grow your career.
Take a break. When you work hard we know you also need to rest. We offer generous time off and parental leave policies, as well as mental health and wellness activities.