Research Scientist, Machine Learning (PhD) 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
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 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 Qualifications
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
