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Company Overview
A leading technology company builds technologies that help people connect, find communities, and grow businesses. Since its initial launch in 2004, it has changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, the company is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Research Scientist, Machine Learning (PhD) (Singapore) Responsibilities
Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Build strong cross functional partnerships and 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)
Perform specific responsibilities which vary by team
Minimum Qualifications
Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Vision, Machine Learning or relevant technical field. Degree must be completed prior to joining.
Programming experience in a relevant programming language.
Research and/or hands-on experience in one or more of the following areas: machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence.
Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent.
Proven experience to translate insights into business recommendations.
Experience with scripting languages such as Python, Javascript or Hack.
Experience building and shipping high quality work and achieving high reliability.
Currently has a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications
Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar.
Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
Interpersonal experience working and communicating cross functionally in a team environment.
Exposure to architectural patterns of large scale software applications.
PhD degree or research focused Master degree in ML areas.
Disclaimer
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