Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.
Software Engineer (Machine Learning) Responsibilities
- Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
- Work on a range of ranking, classification, recommendation, and optimization problems, including payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
- Develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
- Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
- Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
- Code deliverables in tandem with the engineering team.
- Adapt standard machine learning methods to best exploit modern parallel environments including distributed clusters, multicore SMP, and GPU.
Minimum Qualifications
- Requires a Master's degree (or foreign equivalent) in Computer Science, Engineering, Mathematics or a related field and 12 months of experience In the job offered or in a related occupation.
Requires 12 months of experience in the following: - Algorithms, data structures, or systems software
- Solving analytical problems using quantitative approaches
- Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
- Communicating complex research in a clear, precise, and actionable manner
- Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or
computer vision - Performing research that enables learning the semantics of data like images, video, text, audio, or other modalities, and advances the technology of intelligent machines
- Devising better data-driven models of human behavior
- Adapting standard machine learning methods to best enterprise modern parallel environments including distributed clusters, multicore SMP, or GPU
- Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
- Java
- C++,
Python - Hadoop, MapReduce and Spark
- Relational databases and SQL and
- Machine learning framework: PyTorch and TensorFlow.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to
accommodations-ext@fb.com.
$186,470/year to $200,200/year + bonus + equity + 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.