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Company Overview
An American multinational technology conglomerate based in Menlo Park, California, founded on January 4, 2004, operates some of the world’s most popular social media and communication platforms. These include a flagship social networking platform, a photo and video-sharing platform, a messaging and voice-calling app, an instant messaging service, and a text-based conversation app integrated with the photo-sharing platform.
Job Title: Research Scientist, Machine Learning (PhD) (Singapore)
Responsibilities
A successful candidate will:
Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models.
Suggest, collect, and synthesize requirements to create an 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
The ideal candidate must possess:
A currently held or in-progress PhD degree, or completion of a postdoctoral assignment in Computer Science, Computer Vision, Machine Learning, or a relevant technical field. The 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 translating 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.
A Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
Preferred Qualifications
The following skills and experiences are advantageous:
Demonstrated software engineer experience via an internship, work experience, coding competitions, or contributions in open-source repositories (e.g., GitHub).
A 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.
A PhD degree or research-focused Master’s degree in ML areas.
Disclaimer
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