Machine Learning Engineer

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.Machine Learning Engineer Responsibilities

• Research, design and develop new algorithms and mathematical techniques to improve the efficiency and performance of Meta's platforms.
• Gather data for machine-learning training and train new ranking models and run computational experiments.
• Identify potential improvements in company's software and technology products through data analysis and mathematical modeling.
• Research and present effects of current engineering efforts on Meta's market standing from an economic and game-theoretic point of view.
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models.
• Suggest, collect and synthesize data requirements and create effective feature technology and computer product roadmap.
• Build pragmatic, scalable, and statistically rigorous solutions to mission critical inferential and decision problems by leveraging or developing state of the art statistical and machine learning.
• Monitor and review current academic and industrial research and apply relevant research ideas towards engineering projects through programming implementation.

Minimum Qualifications

• Employer will accept a Master’s degree in Statistics, Mathematics, or related field and 3 years of work experience in job offered or in a mathematics-related occupation. Experience must include 36 months of experience in the following:
• 1. Python programming
• 2. Deep learning
• 3. Conducting Big data processing and analysis using modern frameworks (PySpark, Apache Spark, and Scikit-learn)
• 4. Solving analytical problems by developing mathematical/statistical models (Neural network, Logistic Regression, and Decision-Trees)
• 5. Gathering, manipulating, and analyzing complex, high-volume, high-dimensionality data from varying sources
• 6. Communicating complex research in a clear, precise, and actionable manner
• 7. Devising better data-driven models of human behavior.

LocationsAbout 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. $214,032/year to $240,240/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.