ML Engineer - Recommender Systems at Scale

Meta; New York (NY); Vor Ort; USD 154.000 - 217.000; Vollzeit

Benefits dieser Stelle

Bonus

Equity

Benefits

Zusammenfassung

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products that connect billions of people worldwide. You will work on complex technical problems, craft new features, and improve existing products across mobile and web platforms, while collaborating with product, design, and infrastructure teams to deliver impactful experiences.

The role emphasizes hands-on ML, scalable systems, and leadership in guiding peers.

Qualifikationen

• 2+ years of programming experience in a relevant language.
• 1+ years in ML, recommender systems, LLMs or AI.
• Experience with Python, JavaScript or Hack scripting.
• Experience building ML models at scale and business impact.
• Knowledge of C/C++ and Java; scripting with Python, Perl, PHP or shell.

Aufgaben

• Collaborate with cross-functional teams to build innovative experiences.
• Implement UIs using modern programming techniques and technologies.
• Develop reusable components interfacing with back-end platforms.
• Analyze and optimize code for quality, efficiency and performance.
• Lead complex technical efforts and provide guidance to peers.
• Architect scalable systems for complex applications.
• Identify and resolve performance and scalability issues.
• Work with various coding languages and technologies.
• Own components, features, or systems with end-to-end understanding.

Kenntnisse

Programming experience

ML/recommender systems

Python/JavaScript/Hack

ML at scale

C/C++ and Java

Cross-functional collaboration

Recommendation systems

Ausbildung

Masters/PhD in CS/ML

Tools

PyTorch

TensorFlow

Jobbeschreibung

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products that connect billions of people worldwide. You will work on complex technical problems, craft new features, and improve existing products across mobile and web platforms, while collaborating with product, design, and infrastructure teams to deliver impactful experiences.

The role emphasizes hands-on ML, scalable systems, and leadership in guiding peers.