Software Engineer, Machine Learning RecSys

Skip to main content Software Engineer, Machine Learning RecSys Meta Menlo Park, CA Apply Join or sign in to find your next job Join to apply for the Software Engineer, Machine Learning RecSys role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Software Engineer, Machine Learning RecSys Meta Menlo Park, CA 5 days ago 91 applicants See who Meta has hired for this role Apply Join or sign in to find your next job Join to apply for the Software Engineer, Machine Learning RecSys role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job Meta provided pay range This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $154,003.00/yr - $217,000.00/yr Meta is seeking talented Machine Learning 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.Software Engineer, Machine Learning RecSys 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.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or...