Overview
Summary:
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 have the opportunity to work on crucial projects and initiatives that have never been done before, helping to advance the way people connect around the world. You will be responsible for proactively identifying and driving changes as needed for your assigned codebase, product area, and/or systems, building strong cross-functional partnerships, and suggesting, collecting, and synthesizing requirements to create effective feature roadmaps. 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. As a member of our team, you will have the opportunity to apply your technical expertise to drive innovation and solve complex problems. Your experience with frameworks such as PyTorch, TensorFlow, or equivalent, as well as your ability to translate insights into business recommendations, will be valuable assets in this role. We are looking for individuals who are passionate about building and shipping high-quality work, achieving high reliability, and working independently without guidance. This is a Software Engineering role, and core responsibilities include coding and applied engineering work. You will be expected to write high-quality, efficient, and maintainable code, and contribute to the development of innovative software solutions. In this role, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the development of innovative solutions that push the boundaries of scalable computing. We offer a dynamic and innovative work environment that encourages creativity and experimentation, as well as opportunities for professional growth and development. If you are passionate about driving innovation and advancing the way people connect, we encourage you to apply for this exciting opportunity.
Required Skills
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
Industry: Internet
