Laurence de Torrenté (@LauTor83) profile picture

Machine learning @netflix. Board of @wimlds. Opinions are my own. #datascience #machinelearning

Seattle, WA
Joined December 2015
Photo by Laurence de Torrenté (@LauTor83)Photo by Laurence de Torrenté (@LauTor83)Photo by Laurence de Torrenté (@LauTor83)Photo by Laurence de Torrenté (@LauTor83)Photo by Laurence de Torrenté (@LauTor83)Photo by Laurence de Torrenté (@LauTor83)Photo by Laurence de Torrenté (@LauTor83)Photo by Laurence de Torrenté (@LauTor83)Photo by Laurence de Torrenté (@LauTor83)Photo by Laurence de Torrenté (@LauTor83)
Laurence de Torrenté retweeted
The women you see today in tech - we have made sacrifices to follow our passion and be in this field. Kudos to all of us that have stuck it out and are becoming who we want to be - we have generations looking up to us, we are blazing a path. 🔥
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Laurence de Torrenté retweeted
New blog post: I have been pretty unhappy with the state of modern development and wanted to understand why. We are building on millions of dependencies we don’t understand, in fragmented and proprietary cloud environments we can’t introspect. vickiboykis.com/2022/12/05/t…
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With all the layoff and crazy things happening, I decided to open my calendar again in Nov for 1:1 with me (30 minutes during lunch). You can ask me anything about DS/ ML career, life at Netflix, reviewing your resume, talk about a Netflix position you want to apply to etc.1/n
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I'll randomly choose people from the responses so it won't be first come first serve.
Laurence de Torrenté retweeted
Someone asked for advice on how to navigate tech as a woman. Here are my tips. Ladies, feel free to add more.
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Laurence de Torrenté retweeted
🤯 Users often ask: “Which test to choose for data drift detection?” 👩🏻‍🔬The @EvidentlyAI team ran an experiment to help build intuition on how different statistical tests behave. We compared five popular ML drift detection methods. Here is what we did 👇🏼 (1/4)
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Thanks and the coaching was amazing! If you’re looking for someone to help you in your job search in ML/DS, contact @TheAllyance_One! 💜
Congratulations to @LauTor83 who started @netflix as a Senior #MachineLearning Data Scientist after she got coached by @TheAllyance_One ! theallyance.one/coaching
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I am super excited to share that I joined @NetflixEng as a senior machine learning data scientist. I’ll be part of the content - creative excellence team and I can’t wait to work on that!
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Laurence de Torrenté retweeted
The vocabulary we have around burn out is insufficient. It's often framed as too much work (which is definitely one factor), but I see it also stem from misalignment in terms of strategy or values, lack of recognition, and/or sense of belonging.
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Very good thread! When I started working in ML (with a stat background), I was so confused because people would use the term inference to talk about prediction!
Yesterday I asked twitter about the difference between inference and prediction. I’d like to make sense of a few things in a 🧵 1/ teapawt.net/hugobowne/status/15086…
Today is bittersweet as it was my last day at Zillow. I am very proud of everything I accomplished during those nearly 3 years. But more than the work itself what I will miss the most is the people. I made some amazing connections there and I am lucky enough to call some of 1/2
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them friends now. I am sad to leave such an amazing environment but I am very excited about my next step! But first I am taking a break until mid April to settle in our new house and get some quality time with my daughter and my 4 months old :) 2/2
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Laurence de Torrenté retweeted
men get promoted on potential, women on past performance, is it so surprising there are massive gender disparities
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Laurence de Torrenté retweeted
After my post on real-time machine learning last year, many people asked me how to do it. This post discusses the challenges + solutions for online prediction, online evaluation, and continual learning, with use cases and examples. Feedback appreciated! huyenchip.com/2022/01/02/rea…
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Laurence de Torrenté retweeted
Let this be the year we stop making underrepresented folks prove how technical they are, in ways we don’t require of their peers.
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Laurence de Torrenté retweeted
Remember to suss out deal breakers at a potential new employer. Ask interviewers questions like: How many hours do you typically work? Potential manager, can you tell me about a time you feel you failed as a leader? What does my potential for growth look like in this role?
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Laurence de Torrenté retweeted
So where's that list of tech companies without shitty coding interviews? I may or may not be looking :)
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