Machine Learning Engineer Video
NxT Level - Burbank, California, United States, 91505Work at NxT Level
Overview
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Overview
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.
To be considered for an interview, please make sure your application is full in line with the job specs as found below.
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