Teads is hiring a Machine Learning Engineer

Teads is seeking a Machine Learning Engineer to develop and improve ML systems and infrastructure, ensuring performance and scalability. You will collaborate with cross-functional teams to implement end-to-end machine learning models that drive business outcomes, leveraging our global, collaborative, and forward-thinking culture.

What You'll Do

• Improve existing ML library and tools to explore and analyze data and provide accurate feedback on Teads activities.
• Create, design, develop, test, and monitor 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 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.
• Write, run, and automate tests (unit, functional, load).
• Keep up to date with the latest Machine Learning technologies to constantly improve our ML system.

What We're Looking For

• Strong programming skills with a focus on Python, Java, Scala.
• 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.

Nice to Have

• 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.

Technical Stack

• Languages: Python, Java, Scala
• Data Engineering: Spark, Airflow
• ML Frameworks: TensorFlow, PyTorch
• Cloud Platforms: AWS, GCP

Team & Environment

You will join a 50-person AI department, a mix of data scientists, machine learning, and backend engineers, within a collaborative and forward-thinking environment that fosters innovation, creative problem-solving, and continuous learning.

Benefits & Compensation

• Career Development: Continuous investment in employees’ skills: in-house and external training, internal mobility.
• Life Balance: 22 days off per year, hybrid work (3 days per week in the office).
• Wellness: Premium work equipment, enjoyable work environment, remote work subsidy, Diversity & Inclusion initiatives.

Work Mode

This is a hybrid position requiring 3 days per week in the office in Ljubljana.

Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment.