Software Engineering, Machine Learning (Singapore)
Meta
Software Engineering, Machine Learning (Singapore)
Job Description
Meta is seeking talented engineers to join our teams in building cutting-edge products, with the mission of connecting 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 passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team and working on exciting projects that have a significant impact, we encourage you to apply.
Locations
- Singapore, SGP
Salary
Estimated Salary Rangemedium confidence
8,000,000 - 20,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- software engineeringintermediate
- problem-solvingintermediate
- feature developmentintermediate
- product improvementintermediate
- mobile developmentintermediate
- web developmentintermediate
- user experience designintermediate
- passionintermediate
- teamworkintermediate
- global impact mindsetintermediate
Required Qualifications
- 2+ years of programming experience in a relevant programming language 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence 2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalent Proven experience to translate insights into business recommendations Experience with scripting languages such as Python, Javascript or Hack Perl, PHP, and shell scripts Experience building and shipping high quality work and achieving high reliability Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Exposure to architectural patterns of large scale software applications PhD degree or research focused Master degree in ML areas (experience, 2 years)
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 expert end-to-end understanding
Tags & Categories
Software Engineering, Machine Learning (Singapore)
Meta
Software Engineering, Machine Learning (Singapore)
Job Description
Meta is seeking talented engineers to join our teams in building cutting-edge products, with the mission of connecting 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 passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team and working on exciting projects that have a significant impact, we encourage you to apply.
Locations
- Singapore, SGP
Salary
Estimated Salary Rangemedium confidence
8,000,000 - 20,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- software engineeringintermediate
- problem-solvingintermediate
- feature developmentintermediate
- product improvementintermediate
- mobile developmentintermediate
- web developmentintermediate
- user experience designintermediate
- passionintermediate
- teamworkintermediate
- global impact mindsetintermediate
Required Qualifications
- 2+ years of programming experience in a relevant programming language 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence 2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalent Proven experience to translate insights into business recommendations Experience with scripting languages such as Python, Javascript or Hack Perl, PHP, and shell scripts Experience building and shipping high quality work and achieving high reliability Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Exposure to architectural patterns of large scale software applications PhD degree or research focused Master degree in ML areas (experience, 2 years)
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 expert end-to-end understanding
Tags & Categories