In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.As a Research Scientist at Meta, you will bring experience working on a range of recommendation, classification, and optimization problems. You will have the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Research Scientist, Machine Learning (PhD) 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 Meta.
Experience programming 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
Experience in systems software or algorithms
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
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