$117000 - $173000 Year
Monday to Friday
Day shift
Health insurance
Paid time off
Employee discount
Dental insurance
Vision insurance
401(k)
401(k) matching
Flexible schedule
Parental Leave
Tuition reimbursement
Flexible spending account
Retirement plan
Others
Postdoctoral Researcher, Central Applied Science, On-Device ML (PhD) Responsibilities
Assess potential opportunities and execute world-class research associated with with federated learning and on-device personalization.
Design and prototype new algorithms, optimization methods, and system architectures.
Implement new algorithms or mechanisms, deploy them into internal or open-sourced libraries and tooling platforms, and conduct empirical studies on internal datasets to showcase value for real world applications.
Publish research results in top-tier journals and at leading international conferences.
Establish collaborations and communications externally with academia and industry.
Minimum Qualifications
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.
Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Statistics, Mathematics, or similar quantitative field. Degree must be completed prior to joining Meta.
Understanding of modern machine learning techniques and their mathematical underpinning.
Experience with Federated Learning and/or On-Device Model Personalization.
Experience in communicating complex research both for public audiences of peers.
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use.
Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets.
Proficiency in Python.
Familiarity with one or more deep learning frameworks (e.g. PyTorch, TensorFlow, etc.).
Preferred Qualifications
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
Experience working and communicating cross-functionally in a team environment.
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AISTATS, MobiCom, MobiSys, etc.
Experience working in an industry applied research environment.
Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use.
Proficiency in C or C++.
$117,000/year to $173,000/year + benefits
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Communication
Leadership
Teamwork
Interpersonal
Learning/adaptability
Self-management
Organizational
Computer
Problem solving
Open mindedness
Strong work ethic
technology
Others
Experience in communicating complex research both for public audiences of peers
Technology
On going position
In-person