Netflix Remote Jobs - ( Data Entry jobs Customer Support)
Job Responsibilities: Engineering Manager ?? ML Researcher Tooling
We're In Search Of An Skilled Engineering Supervisor To Steer Our Inner Research Engineering Tools Team. This Group Develops And Continues Gear And Infrastructure That Enhances The Velocity, Scalability, And Reliability Of Our Carried Out Gadget Studying (ML) Innovation. Those Equipment Are An Critical Part Of The Every Day... Workflow Of Our ML Researchers, Assisting Them To Drive Groundbreaking Improvements In Netflix??s Member Experience. As A Part Of A Bigger Carried Out Research Agency, You'll Paintings Intently With Our Studies Managers To Become Aware Of Frictions, Design And Construct Engineering Answers, And Improve The Present Day Machine Mastering.
To Be Successful In This Role, You Ought To have sturdy Communique, Organizational, And Interpersonal Capabilities; Have Revel In The Machine Mastering Atmosphere; And Have An array for Enhancing Developer (Or Researcher) Revel In. Your Obligations Will Include Managing And Mentoring A Team Of Senior And Especially Experienced Engineers, Developing The Technical Imaginative, And Prescient Roadmap For The Area, And Balancing The Wishes Of Stakeholders With Competing Desires And Priorities.
If You Are Geared Up To Make A Distinction At an Agency That Topics, And If You Need To Paintings With Gadget Knowledge, And Developer Tools, From an organization That Strongly Believes In, Then We Would Like To Speak To You.
Necessities:
?? 2+ Years Of Experience As An Engineering Supervisor, And 2+ Years Of Industry Experience Ordinary.
?? Strong Software Program Design And Improvement Competencies (In Python, Scala, Java, C++, Or An Equal Production Language).
?? Experience With Parallel And Disbursed Computing.
?? BS In Computer Technological Know-How Or Related Discipline.
Preferred, But Not Required:
?? Four+ Years Of Revel As an Engineering Manager, And 10+ Years Of Industry Revel In Normal.
?? Revel In Leading A Developer Gear Crew.
?? Experience Running And Customizing Bazel, Or Comparable Allotted Construct Systems (Inclusive Of Buck, Pants, And Many Others).
?? Revel In With Gadget Studying Frameworks, Which Include Tensorflow, Pytorch, And So On
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