*** is the world's leading streaming entertainment service, with over 230 million paid memberships in over 190 countries, enjoying TV series, documentaries, and feature films across various genres and languages. Members can watch or play as much as they want, anytime, anywhere, on any internet-connected screen.
Machine Learning/Artificial Intelligence powers numerous aspects of the Consumer Experience, including innovation in content discovery and personalization for members, identifying and attracting new members to our product, optimizing our payment processing, and many more.
The Opportunity
The Consumer ML Model Compute & Serving Systems team provides the foundation for model computation, inference, and serving for all ML/AI innovation across the various Consumer ML domains. The team is responsible for developing all the building blocks required to run ML models at scale. These building blocks include a model serving platform, an event-driven model compute framework, a compute orchestration engine, and many more.
We are looking for strong software engineers for this team, which is a central focus of our business. You will play a highly cross-functional role, partnering with other engineers, product management, machine learning, and data teams to take *** 's ML/AI initiatives to the next level.
If you have a passion for building scalable, robust systems, are interested in pushing the envelope in applying ML algorithms, and operate in a critical part of the stack that strongly i *** uences what our customers see on their screens, then we want to talk to you.
You may enjoy working with us if:
We would love to work with you if:
At *** , we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
The overall market range for roles in this area of *** is typically $100,000 - $464,000. This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. *** is a unique culture and environment. Learn more here.
Machine Learning/Artificial Intelligence powers numerous aspects of the Consumer Experience, including innovation in content discovery and personalization for members, identifying and attracting new members to our product, optimizing our payment processing, and many more.
The Opportunity
The Consumer ML Model Compute & Serving Systems team provides the foundation for model computation, inference, and serving for all ML/AI innovation across the various Consumer ML domains. The team is responsible for developing all the building blocks required to run ML models at scale. These building blocks include a model serving platform, an event-driven model compute framework, a compute orchestration engine, and many more.
We are looking for strong software engineers for this team, which is a central focus of our business. You will play a highly cross-functional role, partnering with other engineers, product management, machine learning, and data teams to take *** 's ML/AI initiatives to the next level.
If you have a passion for building scalable, robust systems, are interested in pushing the envelope in applying ML algorithms, and operate in a critical part of the stack that strongly i *** uences what our customers see on their screens, then we want to talk to you.
You may enjoy working with us if:
- You strive to embrace best practices and are curious about discovering new and *** ter ways to solve problems.
- You are self-driven and highly motivated to deliver top-tier solutions while learning from and collaborating with Stunning Colleagues.
- You are strongly motivated to pick up new domains and ship high-quality, well-tested code.
- You are excited to work in a multidisciplinary environment (engineering, algorithms, data engineering/science, product experimentation).
- You are comfortable working in a majority-remote team with partners distributed across (US) geographies & time zones.
We would love to work with you if:
- You have experience building high-traffic distributed systems and ML infrastructure. You have experience supporting large-scale ML models with a direct impact on the customer experience with high availability, throughput, and performance.
- You are adept at building applications in an object-oriented programming language. We work with Java primarily, so an interest in learning and coding in Java is required.
- You have strong DevOps experience including performance tuning and optimizations, managing deployments, and capacity planning for large applications.
- You are experienced working with the public cloud like AWS, Azure, or GCP.
- You are a proactive, effective communicator and have a strong bias towards action.
- You have a BS/MS in Computer Science, Applied Math, Engineering, or a related field.
At *** , we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
The overall market range for roles in this area of *** is typically $100,000 - $464,000. This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. *** is a unique culture and environment. Learn more here.
This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.