Requirements:

Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.
Experience: Experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field, i.e. search, recommender system and NLP.
Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark).
Analytical Skills: Outstanding ability to analyze large datasets, and derive actionable insights. Expertise in data mining and segmentation.
Communication: Excellent verbal and written communication skills, with the ability to convey sophisticated technical concepts to non-technical partners.

What you'll be doing:

An opportunity to work on cutting-edge research in Recommendations, NLP and deep learning, making significant contributions to the field and real-world applications.
A collaborative and supportive work environment where innovation and creativity are encouraged.
Access to state-of-the-art resources and tools to support your research and development work.
A culture that values diversity, inclusion, and the professional growth of its members.
Competitive compensation and benefits package, tailored to attract the best talent in the field.