About Teads

Teads is the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 36 countries.

For more information, visit www.teads.com.

About the opportunity

We are seeking a skilled and passionate Machine Learning Engineer who combines strong software engineering expertise with a deep understanding of data science and machine learning. In this role, you will be instrumental in developing and improving our ML systems, ensuring that both the underlying infrastructure and the algorithms powering our models are optimized for performance and scalability.

You will collaborate closely with cross-functional teams, including data scientists and software engineers, to implement end-to-end machine learning models that drive impactful business outcomes. Additionally, your work will ensure the continued improvement of our ML platform, which supports algorithmic work across the company.

What will you do?

As a Senior Machine Learning Engineer, your mission will be:

Improve existing ML library & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.
Create, design, develop, test and monitor your code in production autonomously and reliably.
Design, develop, and implement ML models and algorithms with a focus on robustness, performance, and scalability.
Collaborate with data scientists to identify and apply effective machine learning techniques and strategies for improved system performance.
Mentor other team members to improve their autonomy and Software Engineering skills.
Collaborate with variety of teams for production cases to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we constantly improve our ML system.

What will you bring to the team?

Strong programming skills with a focus on Python, Java, Scala and proficiency in software engineering practices such as testing, debugging, and performance tuning.
Hands-on experience implementing machine learning algorithms, particularly in production environments.
Strong problem solving skills.
Strong communication skills, with the ability to collaborate effectively across teams and explain complex technical concepts clearly.

Bonus Points:

Knowledge of Data Engineering tools (e.g. Spark, Airflow, ...).
Familiarity with ML frameworks and tools (e.g., TensorFlow, PyTorch,..).
Performance engineering capabilities, including profiling and optimizing algorithms and systems for high efficiency and low latency.
Experience working with cloud-based infrastructures (e.g., AWS, GCP).
A Master’s or PhD in SC/Math.

The Team

The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers
The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B
Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes

We care about you

Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility …
Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office)
Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc.

Please submit your CV in English.

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