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

• Develop highly scalable recommendation system and tools leveraging machine learning, data regression, and rules-based models to automate predictive process.
• Determine and refine machine learning objectives.
• Transform prototype model and apply appropriate machine learning algorithms and tools.
• Design model labels, apply feature engineering and develop model architecture to improve recommendation system prediction performance.
• Run A/B tests, perform statistical analysis, and interpret test results.
• Solve complex problems with multi-layered data sets, as well as optimize existing machine learning libraries and frameworks.
• Suggest, collect and synthesize requirements and create effective feature roadmap.
• Code deliverables in tandem with the engineering team.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g.
• distributed clusters, multicore SMP, and GPU.

Minimum Qualifications

• Requires a Master's degree in Computer Science, Engineering, Intelligent Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and three years of work experience in the job offered or a computer-related occupation.
  Requires three years of experience in the following:
• 1. Translating insights into business recommendations
• 2. Hadoop/Hbase/Pig or Mapreduce/Sawzall/Bigtable
• 3. Developing and debugging in C/C++ and Java
• 4. Scripting languages such as Perl, Python, PHP, and shell scripts
• 5. Data structures, data modeling and software architecture
• 6. ML frameworks such as TensorFlow or Pytorch and machine learning libraries
• 7. Machine learning and algorithms
• 8. Building classification systems.

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.

$224,241/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.