Meta Platforms, Inc. (Meta) is looking to solve computer software and computer hardware problems by performing research and developing new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms. They aim to design and implement large-scale distributed software systems and create tools for migrating large bodies of user data across systems.
Requirements
- Algorithms, data structures or systems software
- Convex and non-convex optimization, designing algorithm and building machine learning models
- Stochastic analysis of algorithm, proving learning guarantee of machine learning models
- Using tools such as Spark, Hadoop and Kafa to gather, manipulate, and analyze high-volume, high-dimensionality data from varying sources
- Researching topics closely related to machine learning, NLP, recommendation systems, data mining, computer vision and graph neural network
- Designing efficient computer vision model to achieve hardware acceleration
- Machine learning frameworks such as PyTorch and TensorFlow
- C, C++, Python, R or SQL
Responsibilities
- Perform research and develop solutions to computer software and computer hardware problems.
- Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta’s platforms.
- Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
- Utilize technical research background, train new ranking models, and run experiments.
- Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
- Use machine learning, statistics, or other data techniques to build algorithms.
- Analyze and resolve computer challenges from a system engineering standpoint.
Other
- Requires a PhD (or foreign degree equivalent) in Computer Science , Engineering, Mathematics, or a related field
- Requires completion of a research project, research assistantship or internship involving the following: Communicating complex research in a clear, precise, and actionable manner
- Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
- Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
- Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
