Research Scientist Intern, AI/ML, Core Ads Growth (PhD)

This role is based in Zurich, Switzerland.

Responsibilities:

• Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models.
• Suggest, collect and synthesize requirements and create effective feature roadmaps.
• Code deliverables in tandem with the engineering team.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Machine Learning, or related field.
• Research and/or work experience in a relevant field, such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, or computer vision.
• Experience in systems software or algorithms.
• Experience coding in Python, C/C++.
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

• Intent to return to degree-program after the completion of the internship/co-op.
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or open-source code contributions.
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences or journals.
• Demonstrated creativity and quick problem solving capabilities.
• Experience with large-scale data analysis and processing.
• Interpersonal experience: cross-group and cross-culture collaboration.