NxT Level
Machine Learning Engineer Video
NxT Level, New York, New York, us, 10261
About our Client:Our client is one of the most popular platforms to record gaming clips and videos. They have made building community through the power of gaming clips and videos easier than ever. With just one button press, you'll have your clips in the cloud for free, effortlessly syncing across mobile and PC.About the position:We are looking for a Senior Machine Learning Engineer to work on their video stream team to improve the ML models. We are looking for an engineer that’s passionate about working in a startup environment that thrives on innovation and collaboration in New York City.You'll be working with a talented team of engineers with a history of working with large-scale applications. Your work will be used by millions of people around the world and help create new experiences for the next generation of gamers. You will be helping us scale the platform to 100+ million users by building high-quality features that our creators love.Currently Platform Technology Stack:Electron, React, Redux, & other modern web-based technologies
C# and C++ for native windows recording & more
Swift for iOS, Kotlin for Android
Java, Redis, RabbitMQ, Kubernetes for backend
Terraform, Salt, GitHub Actions, CircleCI for IaC and CI/CD
What are the core responsibilities?Build and deploy robust ML systems for personalized recommendation experiences
Design & deliver new recommendation features & products to satisfy customer needs & drive growth in an efficient manner
Improve user experience and grow the community with new recommendation features and techniques
Collaborate with cross-functional teams to develop analytical dashboards that describe and reflect the impact of recommendations
What are some of the requirements?5+ years of experience as an ML engineer
Experience using ML and data science to build high-performant real-time recommender systems
Excel at Python and ML/DL frameworks
Ability to manage under ambiguity, balancing multiple work-streams and priorities
Willingness to be available outside of regular work hours for dealing with significant issues and ability to act proactively to resolve technical problems
Ability to thrive under pressure and “do anything it takes” attitude
The pay range for this position at the start of employment is expected to be between $140,000 and $200,000 per year. However, base pay may vary further depending on individualized factors for candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits.
C# and C++ for native windows recording & more
Swift for iOS, Kotlin for Android
Java, Redis, RabbitMQ, Kubernetes for backend
Terraform, Salt, GitHub Actions, CircleCI for IaC and CI/CD
What are the core responsibilities?Build and deploy robust ML systems for personalized recommendation experiences
Design & deliver new recommendation features & products to satisfy customer needs & drive growth in an efficient manner
Improve user experience and grow the community with new recommendation features and techniques
Collaborate with cross-functional teams to develop analytical dashboards that describe and reflect the impact of recommendations
What are some of the requirements?5+ years of experience as an ML engineer
Experience using ML and data science to build high-performant real-time recommender systems
Excel at Python and ML/DL frameworks
Ability to manage under ambiguity, balancing multiple work-streams and priorities
Willingness to be available outside of regular work hours for dealing with significant issues and ability to act proactively to resolve technical problems
Ability to thrive under pressure and “do anything it takes” attitude
The pay range for this position at the start of employment is expected to be between $140,000 and $200,000 per year. However, base pay may vary further depending on individualized factors for candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits.