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Meta · 8 hours ago

Research Scientist, Machine Learning (PhD)

United States

Full-time

Remote

Mid, Senior Level

Meta is at the forefront of a transformative change in its business and technology, and our research teams are driving this evolution. As a Research Scientist at Meta, you will work on crucial projects and initiatives that advance the way people connect around the world, collaborating with leading engineers and researchers to solve complex social data and prediction problems.

Computer Software

Comp. & Benefits

Responsibilities

Proactively identify and drive changes as needed for your assigned codebase, product area and/or systems

Build strong cross functional partnerships and code deliverables

Suggest, collect and synthesize requirements and create effective feature roadmaps

Perform specific responsibilities which vary by team

Qualification

Machine LearningPyTorchTensorFlowProgramming LanguagesSystems SoftwareCross-Functional CommunicationInterpersonal SkillsProblem Solving

Required

Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Engineering or relevant technical field. Degree must be completed prior to joining Meta

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

Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent

Proven experience to translate insights into business recommendations

Experience building and shipping high quality work and achieving high reliability

Experience in systems software or algorithms

Experience programming in a relevant language

Experience identifying, designing and completing medium to large features independently, without guidance

Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)

Research and/or hands-on experience in one or more of the following areas: Machine Learning, NLP, Recommendation Systems, Pattern Recognition, Data Mining, Computer Vision, Artificial Intelligence or other relevant fields

Experience with programming languages such as Python, R, MATLAB

Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as KDD, NeurIPS, ICML, WWW, ACL, ICLR, CVPR 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