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AI Jobs and Career
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- Full Stack Engineer [$150K-$220K]
- Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
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- More AI Jobs Opportunitieshere
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|---|---|---|
| Full-Stack Engineer | Strong match, Full-time | $150K - $220K / year |
| Developer Experience and Productivity Engineer | Pre-qualified, Full-time | $160K - $300K / year |
| Software Engineer - Tooling & AI Workflows (Contract) | Contract | $90 / hour |
| DevOps Engineer (India) | Full-time | $20K - $50K / year |
| Senior Full-Stack Engineer | Full-time | $2.8K - $4K / week |
| Enterprise IT & Cloud Domain Expert - India | Contract | $20 - $30 / hour |
| Senior Software Engineer | Contract | $100 - $200 / hour |
| Senior Software Engineer | Pre-qualified, Full-time | $150K - $300K / year |
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What is machine learning and how does Netflix use it for its recommendation engine?
What is an online recommendation engine?
Think about examples of machine learning you may have encountered in the past such as a website like Netflix that recommends what video you may be interested in watching next?
Are the recommendations ever wrong or unfair? We will give an example and explain how this could be addressed.
Machine learning is a field of artificial intelligence that Netflix uses to create its recommendation algorithm. The goal of machine learning is to teach computers to learn from data and make predictions based on that data. To do this, Netflix employs Machine Learning Engineers, Data Scientists, and software developers to design and build algorithms that can automatically improve over time. The Netflix recommendations engine is just one example of how machine learning can be used to improve the user experience. By understanding what users watch and why, the recommendations engine can provide tailored suggestions that help users find new shows and movies to enjoy. Machine learning is also used for other Netflix features, such as predicting which shows a user might be interested in watching next, or detecting inappropriate content. In a world where data is becoming increasingly important, machine learning will continue to play a vital role in helping Netflix deliver a great experience to its users.
Netflix’s recommendation engine is one of the company’s most valuable assets. By using machine learning, Netflix is able to constantly improve its recommendations for each individual user.
Machine learning engineers, data scientists, and developers work together to build and improve the recommendation engine.
- They start by collecting data on what users watch and how they interact with the Netflix interface.
- This data is then used to train machine learning models.
- The models are constantly being tweaked and improved by the team of engineers.
- The goal is to make sure that each user sees recommendations that are highly relevant to their interests.
Thanks to the work of the team, Netflix’s recommendation engine is constantly getting better at understanding each individual user.
How Does It Work?
In short, Netflix’s recommendation algorithm looks at what you’ve watched in the past and then makes recommendations based on that data. But of course, it’s a bit more complicated than that. The algorithm also looks at data from other users with similar watching habits to yours. This allows Netflix to give you more tailored recommendations.
For example, say you’re a big fan of Friends (who isn’t?). The algorithm knows that a lot of Friends fans also like shows like Cheers, Seinfeld, and The Office. So, if you’re ever feeling nostalgic and in the mood for a sitcom marathon, Netflix will be there to help you out.
But That’s Not All…
Not only does the algorithm take into account what you’ve watched in the past, but it also looks at what you’re currently watching. For example, let’s say you’re halfway through Season 2 of Breaking Bad and you decide to take a break for a few days. When you come back and finish Season 2, the algorithm knows that you’re now interested in similar shows like Dexter and The Wire. And voila! Those shows will now be recommended to you.
Of course, the algorithm isn’t perfect. There are always going to be times when it recommends a show or movie that just doesn’t interest you. But hey, that’s why they have the “thumbs up/thumbs down” feature. Just give those shows the old thumbs down and never think about them again! Problem solved.
Another angle :
When it comes to TV and movie recommendations, there are two main types of data that are being collected and analyzed:
1) demographic data
2) viewing data.
Demographic data is information like your age, gender, location, etc. This data is generally used to group people with similar interests together so that they can be served more targeted recommendations. For example, if you’re a 25-year-old female living in Los Angeles, you might be grouped together with other 25-year-old females living in Los Angeles who have similar viewing habits as you.
Viewing data is exactly what it sounds like—it’s information on what TV shows and movies you’ve watched in the past. This data is used to identify patterns in your viewing habits so that the algorithm can make better recommendations on what you might want to watch next. For example, if you’ve watched a lot of romantic comedies in the past, the algorithm might recommend other romantic comedies that you might like based on those patterns.
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Are the Recommendations Ever Wrong or Unfair?
Yes and no. The fact of the matter is that no algorithm is perfect—there will always be some error involved. However, these errors are usually minor and don’t have a major impact on our lives. In fact, we often don’t even notice them!
The bigger issue with machine learning isn’t inaccuracy; it’s bias. Because algorithms are designed by humans, they often contain human biases that can seep into the recommendations they make. For example, a recent study found that Amazon’s algorithms were biased against women authors because the majority of book purchases on the site were made by men. As a result, Amazon’s algorithms were more likely to recommend books written by men over books written by women—regardless of quality or popularity.
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These sorts of biases can have major impacts on our lives because they can dictate what we see and don’t see online. If we’re only seeing content that reflects our own biases back at us, we’re not getting a well-rounded view of the world—and that can have serious implications for both our personal lives and society as a whole.
One of the benefits of machine learning is that it can help us make better decisions. For example, if you’re trying to decide what movie to watch on Netflix, the site will use your past viewing history to recommend movies that you might like. This is possible because machine learning algorithms are able to identify patterns in data.
Another benefit of machine learning is that it can help us automate tasks. For example, if you’re a cashier and have to scan the barcodes of the items someone is buying, a machine learning algorithm can be used to automatically scan the barcodes and calculate the total cost of the purchase. This can save time and increase efficiency.
The Consequences of Machine Learning
While machine learning can be beneficial, there are also some potential consequences that should be considered. One consequence is that machine learning algorithms can perpetuate bias. For example, if you’re using a machine learning algorithm to recommend movies to people on Netflix, the algorithm might only recommend movies that are similar to ones that people have already watched. This could lead to people only watching movies that confirm their existing beliefs instead of challenged them.
Another consequence of machine learning is that it can be difficult to understand how the algorithms work. This is because the algorithms are usually created by trained experts and then fine-tuned through trial and error. As a result, regular people often don’t know how or why certain decisions are being made by machines. This lack of transparency can lead to mistrust and frustration.
AI Jobs and Career
And before we wrap up today's AI news, I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
What are some good datasets for Data Science and Machine Learning?
This scene in the Black Panther trailer, is it T’Challa’s funeral?
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Recommended New Netflix Movies 2022
- What a beautiful show MO is...
by /u/Thissuxxors (Netflix) on January 16, 2026 at 4:16 pmAs a Palestinian, I was upset with Netflix that MO was only 2 seasons. It seems to obviously be rushed, so I don't think it was the original idea to only have it as 2 seasons. Clearly there were some ugly people that didn't want the show to continue and put pressure on Netflix. Now I could say that Netflix are cowards if that is indeed the case as I assume, however, I don't think that. If anything, Thank you Netflix for having the guts to allow this show to exist. To produce it and to put it on your platform. It truly is a hilarious, wonderful, heartfelt show that shows the struggles of Palestinians. I would say it is a love letter to Palestinians and our beautiful culture. The actors were absolutely wonderful, and while some of it was just hard to watch, particularly MOs struggles. The show left me feeling good and hopeful. Particularly I loved the Thanksgiving get together at the farm. It was just beautiful to see all these people who are different come together because it felt they were all family. Sorry if my post sounds corny, but I really did love this show so much. Anyway, for those who haven't seen it, I highly recommend it. It's a brilliant, clever and outrageously funny show. Thank you Netflix. submitted by /u/Thissuxxors [link] [comments]
- Bad performanceby /u/Illustrious_Iron_774 (Netflix) on January 16, 2026 at 3:41 pm
Hi, I’m having issues with Netflix in my tv, when I play any movie/serie, I can’t use subtitles bc they are with delay, ui slows downs a lot… This don’t happen with Amazon prime, yt or anything else. What can I do? submitted by /u/Illustrious_Iron_774 [link] [comments]
- If I get Netflix with a neighbor that has different Wi-Fi, will it kick one of us offby /u/Border-Worried (Netflix) on January 16, 2026 at 3:34 pm
I recently had Netflix with my family a couple towns over, but got kicked off by Netflix. Does their system go by Wi-Fi or IP location? We’re literally two doors down from each other. submitted by /u/Border-Worried [link] [comments]
- The Ripby /u/Flapalms239 (Netflix) on January 16, 2026 at 3:20 pm
I have the cheapest ad plan. I watched this movie this morning and had zero ads! I’m not complaining but did anyone else notice this as well? As for the film itself I enjoyed it for the most part. I don’t see myself watching it a second time though. submitted by /u/Flapalms239 [link] [comments]
- The rip is unwatchableby /u/United-Win-2432 (Netflix) on January 16, 2026 at 3:05 pm
I've had to adjust the volume in the first 2 minutes four different times. It started out with whispering then a phone call where the person on the phone was inaudible while the person we're watching speak was too loud. And then I went deaf with gunshots. submitted by /u/United-Win-2432 [link] [comments]
- Netflix-Owned Warner Bros. Will Stick to 45-Day Theatrical Windows, Ted Sarandos Says
by /u/MarvelsGrantMan136 (Movie News and Discussion) on January 16, 2026 at 2:41 pmsubmitted by /u/MarvelsGrantMan136 [link] [comments]
- What are examples of bad films with very good acting?by /u/rikarleite (Movie News and Discussion) on January 16, 2026 at 1:45 pm
Are there films that are stinkers and usually considered bad, but have GOOD acting performances? It's not a bad film, but I always make the case that "Mean Streets" is not Scorsese's best, but has the greatest performance by Robert De Niro I've ever seen. I'd also claim that "Mommy Dearest" is unfairly judged on Dunaway's performance, but the film itself is bad. Any particular examples that come to mind? submitted by /u/rikarleite [link] [comments]
- John Carpenter's Escape from New York | Low Budget. Legendary Results.
by /u/SquabbleBoxYouTube (Movie News and Discussion) on January 16, 2026 at 1:44 pmHappy birthday, John Carpenter! submitted by /u/SquabbleBoxYouTube [link] [comments]
- AI HEARTBEAT — SEASON 2-EPISODE 9 — Everyone Pays the Price (क़ीमत सबको देनी होगी)
by jig N (Netflix on Medium) on January 16, 2026 at 12:21 pmEveryone Pays the Price (English | Season 2) The city now understood the truth — no decision comes without pain. And this pain was shared.Continue reading on Medium »
- Chef brings a smile to my face no matter how many times I watch it. It's my "comfort food" of a movie. What is yours?by /u/serene-kerfuffle (Movie News and Discussion) on January 16, 2026 at 12:15 pm
Chef (2014) is one of those movies I really should have watched a long time ago. So many people recommended it to me, and once I finally did, I just couldn’t stop watching and rewatching it. Whenever I’m having a boring weekend, feel down, or get that sense like I’ve lost some passion for life, I’m like, “Oh, let’s watch Chef again.” I don’t want to ruin it for anyone who hasn’t seen it, but basically it’s a movie starring and directed by Jon Favreau about a chef who eventually quits his job and starts operating a food truck, and that’s when the movie really becomes fun. From there, it turns into a great road-trip kind of film. There are some big names in it like one of my favorite actors Bobby Cannavale, but there's also Dustin Hoffman, Scarlett Johansson, and Robert Downey Jr. even shows up. But what really sells the movie is the story. It’s a feel-good comedy, maybe not particularly sophisticated, but the message about following your passion (or finding it again, reinventing yourself, not letting problems stop you, rediscovering that inner sense of liveliness and creativity) is so well expressed. And if you like good food or enjoy cooking, you definitely won’t be disappointed. The music is great too, and there’s plenty of it. The whole thing is just so charming and pleasant. It’s become my "comfort food movie" as one of my friends says. I guess he means "comfort movie" but I'm fine with putting the word food is there cause, you know, it's a film about cooking. Forrest Gump is his "comfort food movie" btw. I never connected with Forrest Gump like that. So I guess different strokes.... Have any of you watched Chef and enjoyed it so much that you’ve rewatched it a lot? If not, is there a movie you consider comforting enough to be your "comfort-food movie"? P.S. I seen Favreau in a lot of films but I just really like his character in Chef, just so charming. submitted by /u/serene-kerfuffle [link] [comments]
- I thought the relationship in Tall girl ( Jack and forgotten the tall girl's name ) was kind of sweet , better than people we meet on vacation..by /u/AltruisticAide9776 (Netflix) on January 16, 2026 at 11:55 am
I think that is how you do friends to lovers right . They were especially good in the second film cause then you saw both of them yearning for each other not just Jack yearning for tall girl. That scene of tall girl seeing Jack do Karoke and then the voice over saying that Jack is out there living his best life , but then the camera goes to Jack and he is actually sad .. And I liked how in the end when tall girl tells Jack that maybe photography could be your thing but Jack is like i don't think i ve found my thing tbh, but i know I want you in my life , i thought that was a nice lesson that you know not everyone sort of finds their " thing" especially not in high school. I also loved how her nemesis comes around and is actually supportive but i also liked how her nemesis has a male friend and they don't fall in love and she teases him about his crush on tall girl . Like you could feel they really are just opposite gender friends. submitted by /u/AltruisticAide9776 [link] [comments]
- Emily in Paris, Rome, and Falling in Love with Chaos
by Withlovekarma (Netflix on Medium) on January 16, 2026 at 11:27 amThis season made me laugh, cringe, and miss the Emily we once knew.Continue reading on Medium »
- Movies where the actors had GOOD chemistry?by /u/Lotta-Bank-3035 (Movie News and Discussion) on January 16, 2026 at 11:03 am
Everyone always says these actors had terrible chemistry, they were so dry, etc but what are some movies where the characters were very believable together? I don't think I can really tell, when two actors are hot together I just believe they're great and haven't really seen a film where I thought otherwise. I'd like something to really compare it to submitted by /u/Lotta-Bank-3035 [link] [comments]
- Scary movies!!!🍿by /u/Complete_Stress5815 (Netflix) on January 16, 2026 at 10:20 am
Im having a scary movie marathon tn, is there any movies you guys would recommend? I want to be so scared i cant sleep and k want there to be ACTUAL jumpscares, only movie that still keeps me up is “lights out” and im seeking that feeling of fright again!🎬 submitted by /u/Complete_Stress5815 [link] [comments]
- Now that Stranger Things is over, what can I watch after it?by /u/emadhimself (Netflix) on January 16, 2026 at 10:02 am
Stranger Things has come to an end and I really loved the series, anything to watch after it that has this ensemble vibe? Not necessarily action or mystery,slice of life is preferable with a good story. submitted by /u/emadhimself [link] [comments]
- His & Hersby /u/RiseoftheBandit (Netflix) on January 16, 2026 at 8:35 am
I couldn’t come to Reddit fast enough . I legit just binged this show on Netflix because of the actors . I first played it for background noise because I needed a new show. But let me tell you I was hooked . All the plot twist was crazy. I’m glad it was short and straight to the point. If you need a show while you are cleaning or playing a game this is it ! submitted by /u/RiseoftheBandit [link] [comments]
- Spoilers - Run away 📉by /u/Joker_esk (Netflix) on January 16, 2026 at 6:58 am
I really enjoyed the first half of the show. But then towards the end I got more and more mad. The reasoning for the killings I really disliked, also the fact Paige was just in rehab the whole time. Also I think we never knew if this Henry guy was still alive? Propably not but still no info. And how did the murder couple even knew about Elena? But still I think this show had a chance to turn it all around for me if Simon would have divorced his wife at the end. He was kept out of every important family thing for years. He must have been feeling as an outsider. I think after all these reveals I couldn’t have lived with this family any longer. This could have saved it for me. But instead now he has the secret. Mayor dislike. submitted by /u/Joker_esk [link] [comments]
- 11.22.63by /u/Hamsterluver167 (Netflix) on January 16, 2026 at 5:13 am
okay the acting was so cheesy in some parts but if your an emotional person and like romance this show is for you, why I say emotional is because you really have to be involved in it to experience it. Great show watch til the end tears rolling down my face is all I can say. I know there is a book as well if you want to read it! submitted by /u/Hamsterluver167 [link] [comments]
- Back To The Future (1985) Is One of My Favorite Films Ever. Nearly Forty Years Later, It’s Still as Fun, Smart, and Rewatchable as the First Time.
by /u/Express_Classic_1569 (Movie News and Discussion) on January 16, 2026 at 4:48 amsubmitted by /u/Express_Classic_1569 [link] [comments]
- The Rip review – Ben Affleck and Matt Damon tear through flashy Netflix bro thrillerby /u/Dex_Stlap (Netflix) on January 16, 2026 at 4:28 am
The Rip review – Ben Affleck and Matt Damon tear through flashy Netflix bro thriller One of much watch to see this weekend highly anticipated cast of Ben affleck & Matt demon through the ups & down of life. Really great direction & visuals & drama is quite impressive A must watch for movie lovers submitted by /u/Dex_Stlap [link] [comments]
World’s Top 10 Youtube channels in 2022
![r/dataisbeautiful - [OC] World's Top 10 Youtube Channels of 2022](https://preview.redd.it/tu6mde3tkkv91.png?width=960&crop=smart&auto=webp&s=a5c26809a0667101e97db43c0a66006301a1157a)
T-Series, Cocomelon, Set India, PewDiePie, MrBeast, Kids Diana Show, Like Nastya, WWE, Zee Music Company, Vlad and Niki
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