Senior Machine Learning Engineer - Open Application

As a Senior Machine Learning Engineer at Teads, you will be instrumental in enhancing our machine learning tools and algorithms within a high-traffic environment. Teads is a leading omnichannel advertising platform, directly partnered with over 10,000 publishers and 20,000 advertisers globally, focusing on delivering meaningful business outcomes through predictive AI technology.

In this role, you will improve existing ML libraries and tools to analyze extensive datasets, providing accurate feedback on Teads' activities. Your responsibilities include designing, developing, testing, and monitoring robust ML models and algorithms with a focus on performance and scalability. Collaboration with data scientists and various teams is essential to apply effective machine learning techniques and develop services from design to production.

The ideal candidate possesses strong programming skills in Python, Java, or Scala, with proficiency in software engineering practices such as testing, debugging, and performance tuning. Hands-on experience implementing machine learning algorithms in production environments is required, along with strong problem-solving and communication skills to effectively collaborate across teams.

Teads offers a well-balanced work-life environment with 22 days off per year and a hybrid work model of three days per week in the office. The company invests in employee development through in-house and external training, internal mobility, and promotes employee well-being with premium work equipment, team-building events, and remote work subsidies.

Joining Teads means becoming part of a dynamic, diverse, and global company culture that fosters innovation, creative problem-solving, and continuous learning. With a focus on meaningful business outcomes and a commitment to employee success, Teads provides an environment where you can thrive and make a significant impact in the advertising technology industry.