Senior Machine Learning Engineer
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
The role in a forward-thinking company offers significant opportunities for technical development and innovation while providing competitive compensation.
- Competitive compensation reflects expertise in machine learning.
- Innovation-leading role within a dynamic AdTech environment.
- Requires advanced technical skills and experience.
Pros
- High demand for machine learning skills within the AdTech industry.
- Opportunity to work with cutting-edge technologies like Vertex AI.
- Well-established company with a strong market presence.
Cons
- Intense competition for machine learning roles may exist.
- High expectations for performance and innovation.
- Fast-paced environment may be stressful for some applicants.
Who it's for
Senior / Lead • Hybrid with flexibility
Good fit
- Senior machine learning professionals
- Those eager to work in innovative AdTech companies
- Candidates proficient in deploying ML pipelines
Not recommended for
- Junior candidates without practical experience
- Professionals seeking less demanding roles
- Those not interested in collaborative work environments
Motivation fit
Key skills
About the job
👫 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 ✏️
About you 💪
Minimum qualifications:
Nice to have:
👋 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 ta-team@equativ.com
