Software Engineer, Machine Learning at Meta

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

0.0

Posted On

10 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Programming, Machine Learning, Data Analysis, Technical Guidance, System Architecture, Performance Optimization, Reinforcement Learning, Causal Modeling, Sequence Modeling, Data Structures, Algorithms, Graph Theory, Optimization Techniques, Product Development, Mentorship, Cross-Functional Collaboration

Industry

Software Development

Description

Meta is seeking experienced 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 committed individuals who can help us advance the way people connect globally. If you're interested in joining an industry leading team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply. Responsibilities Collaborate with cross-functional teams (product, design, operations, infrastructure) to build creative application experiences Implement custom user interfaces using latest programming techniques and technologies Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members Architect efficient and scalable systems that drive complex applications Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt Work on a variety of coding languages and technologies Establish ownership of components, features, or systems with end-to-end understanding Qualifications Programming experience in a relevant language Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Demonstrated experience driving change within an organization and leading complex technical projects Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions Masters degree or PhD in Computer Science or a related technical field Background in machine learning, especially applied to ranking, recommendation systems, or large-scale predictive modeling Experience in Reinforcement Learning, Causal Modeling or Sequence Modeling Experience in shipping new products or landing product iterations at scale Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques

Responsibilities

Collaborate with cross-functional teams to build creative application experiences and implement custom user interfaces. Identify and resolve performance issues while driving large efforts to reduce technical debt.