12/4/2023 0 Comments Netflix careers login![]() And this doesn’t mean Netflix isn’t working on generative stuff too. Sure, the last one is likely generative dubbing, or perhaps improved subtitle translation. We are looking for an Applied Machine Learning Scientist to develop algorithms that power high quality localization at scale… …Collect feedback and understand user needs from ML/AI practitioners and application engineers across Netflix, deriving product requirements and sizing their importance to then prioritize areas of investment. ![]() …we are venturing further into exciting new innovations in personalization, discovery, experimentation, backend operations, and more, all driven by research at the frontiers of ML …incubate and prototype concepts with the intent to eventually build a complete team to ship something new that could change the games industry and reach player audiences in new ways, as well as influencing adoption of AI technologies and tooling that are likely to level up our practices. You will lead a team of experts in these techniques to understand how members experience titles, and how that changes their long-term assessment of their satisfaction with the Netflix service. You will lead requirements, design, and implementation of Metaflow product improvements… If you read the actual job descriptions, you’ll see that none actually pertain to content creation: No doubt they are exploring those things too, but most companies remain extremely skeptical of generative AI for a lot of reasons. As you may have guessed from the billions of dollars being invested in this sector, it’s full of promise in a lot of ways that aren’t actually connected to the controversial generative models for art, voice and writing, which for the most part have yet to demonstrate real value. But that’s not quite what’s happening here.Īs a tech company, Netflix is, like every other company on Earth, exploring the capabilities of AI. Superficially, Netflix paying half a million to its AI researchers so that they can obsolete the actors and writers altogether is the kind of Evil Corp move we have all come to expect. One comparison that was quickly made is to the average SAG member, who earns less than $30,000 from acting per year. There are some L5 software engineer and research scientist positions open for a more modest $100,000-$700,000. That’s where the conversation starts! An L6 research scientist in ML could earn $390,000 to $900,000, and the technical director of their ML R&D tech lab would make $450,000-$650,000. So what are these jobs? In addition to the overall product manager one, there are five other roles with obvious machine learning responsibilities, and likely more if you were to scour the requirements and duties of others.Īn engineering manager in member satisfaction ML - their recommendation engine, probably - could earn as much as $849,000, but the floor for the “market range” is $449,000. No one should be surprised that one of the biggest tech companies in the world is paying top dollar for machine learning talent - but that doesn’t mean striking writers and actors shouldn’t call out the hypocrisy on display. That isn’t the only such listing, and likely not even the most lucrative. The discovery of an AI product manager role at Netflix with a pay ceiling of $900,000 sent critics of the company and entertainment industry wild yesterday.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |