Software Engineering, Machine Learning
Job Description
Meta is seeking engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry professionals and working on exciting projects that have a significant impact, we encourage you to apply.
Locations
- Singapore, Singapore, Singapore
Salary
Salary not disclosed
Skills Required
- Pythonintermediate (Programming)
- Javascriptintermediate (Programming)
- Hackintermediate (Programming)
- C/C++intermediate (Programming)
- Javaintermediate (Programming)
- Perlintermediate (Programming)
- PHPintermediate (Programming)
- Shell scriptsintermediate (Programming)
- PyTorchintermediate (Machine Learning)
- TensorFlowintermediate (Machine Learning)
- Machine Learningintermediate (AI/ML)
- Recommendation Systemsintermediate (AI/ML)
- Pattern Recognitionintermediate (AI/ML)
- Data Miningintermediate (AI/ML)
- Artificial Intelligenceintermediate (AI/ML)
Required Qualifications
- Software engineering or relevant field (experience, 6 years)
- Software engineering or relevant field (with PhD) (experience, 3 years)
- Machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field (experience, 2 years)
- Bachelor's degree (degree in Computer Science, Computer Engineering, or relevant technical field)
Preferred Qualifications
- Master's degree or PhD (degree in Computer Science or another machine learning-related field)
- Exposure to architectural patterns of large scale software applications (experience)
- Experience with scripting languages such as PyTorch and TensorFlow (experience)
Responsibilities
- Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
- Implement custom user interfaces using latest programming techniques and technologies
- Develop reusable software components for interfacing with back-end platforms
- Analyze and optimize code for quality, efficiency, and performance
- Lead complex technical or product efforts and provide technical guidance to peers
- Architect efficient and scalable systems that drive complex applications
- Identify and resolve performance and scalability issues
- Work on a variety of coding languages and technologies
- Establish ownership of components, features, or systems with proven end-to-end understanding
