Software Engineer, Consumer ML Model Compute & Serving
Posted 2025-08-15
Remote, USA
Full Time
Immediate Start
<p>Are you passionate about developing cutting-edge machine learning models that power the world's leading streaming service? Do you thrive in a fast-paced, collaborative environment where your work has a direct impact on the user experience? Then we have the perfect opportunity for you! Netflix is seeking a highly skilled and motivated Software Engineer to join our Consumer ML Model Compute & Serving team. In this role, you will have the opportunity to work with a talented team to design, build, and optimize the infrastructure that supports our machine learning models and ensures seamless delivery to our millions of global users. If you have a strong background in software engineering, a deep understanding of machine learning concepts, and a drive to continuously innovate and improve, we want to hear from you!\n\nDesign and develop cutting-edge machine learning models that power the world's leading streaming service.
Collaborate with a team of skilled professionals to optimize the infrastructure for machine learning model compute and serving.
Ensure seamless delivery of machine learning models to millions of global users.
Utilize strong software engineering skills to design and build efficient and scalable solutions.
Continuously innovate and improve the machine learning infrastructure to enhance the user experience.
Stay updated with the latest machine learning techniques and technologies to drive innovation.
Work in a fast-paced and collaborative environment to deliver high-quality results.
Collaborate with cross-functional teams to gather requirements and design solutions that meet business needs.
Troubleshoot and debug issues related to machine learning model compute and serving.
Document and communicate technical solutions and best practices to team members.
Stay organized and manage project timelines to ensure timely delivery of projects.
Mentor and support junior team members to promote growth and development.
Adhere to coding standards, quality guidelines, and best practices.
Collaborate with data scientists and other stakeholders to understand business requirements and provide technical expertise.
Contribute to the overall strategy and roadmap for the Consumer ML Model Compute & Serving team.</p><p>Netflix is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.</p>
Collaborate with a team of skilled professionals to optimize the infrastructure for machine learning model compute and serving.
Ensure seamless delivery of machine learning models to millions of global users.
Utilize strong software engineering skills to design and build efficient and scalable solutions.
Continuously innovate and improve the machine learning infrastructure to enhance the user experience.
Stay updated with the latest machine learning techniques and technologies to drive innovation.
Work in a fast-paced and collaborative environment to deliver high-quality results.
Collaborate with cross-functional teams to gather requirements and design solutions that meet business needs.
Troubleshoot and debug issues related to machine learning model compute and serving.
Document and communicate technical solutions and best practices to team members.
Stay organized and manage project timelines to ensure timely delivery of projects.
Mentor and support junior team members to promote growth and development.
Adhere to coding standards, quality guidelines, and best practices.
Collaborate with data scientists and other stakeholders to understand business requirements and provide technical expertise.
Contribute to the overall strategy and roadmap for the Consumer ML Model Compute & Serving team.</p><p>Netflix is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.</p>