Summary:

　　Meta Platforms, Inc. (Meta), formerly known as Facebook, Inc., builds technologies that help connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, WhatsApp, and Novi 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.Instructions on how to apply, click "Apply to Job" online on this web page.

　　Required Skills:

　　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:

　　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:

　　Python programming

　　Deep learning

　　Conducting Big data processing and analysis using modern frameworks (PySpark, Apache Spark, and Scikit-learn)

　　Solving analytical problems by developing mathematical/statistical models (Neural network, Logistic Regression, and Decision-Trees)

　　Gathering, manipulating, and analyzing complex, high-volume, high-dimensionality data from varying sources

　　Communicating complex research in a clear, precise, and actionable manner

　　Devising better data-driven models of human behavior.

　　Public Compensation:

　　$186,324/year to $194,000/year + bonus + equity + benefits

　　Industry: Internet

　　Equal Opportunity:

　　Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

　　Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].