Software Engineer, Machine Learning

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 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 (or foreign equivalent degree) in Statistics, Mathematics, Computer Science, Applications, or related field and 3 years of work experience in job offered or in a computer-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 and
• 7. Devising better data-driven models of human behavior

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$238,054/year to $240,240/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice