Stitch Fix, San Francisco - CA Keywords: H1B, Full-time doing Machine Learning and Python.
Looking for some one who can help me build and scale a machine learning framework in Python. We use pandas, scipy, scikit-learn, ipython, R in our Data Science Engineering Team.
Our product has machine learning algorithms at its core, Stitch Fix is an algorithmic approach to e-commerce, a brilliant business idea that is doing very well commercially. 100% of products sold are based on ML (machine learning) recommendations.
Looking for great python hackers and ML enthusiasts. This team is also a place to be if you are an engineer and want a stepping stone into the more mathematical side of Machine Learning. We build and train models and run them, scale them, A/B test all in day's work. shoot me an email at bhaskar@stitchfix.com (I am one of the ML engineers in this team) if this post makes you curious to learn more.
We are a young team so for this first hire remote is not possible.
Stitch Fix, San Francisco - CA
Keywords: H1B, Intern and Full-time doing Machine Learning and Python
Looking for some one who can help me build and scale a machine learning framework in Python. We use pandas, scipy, scikit-learn, ipython, R in our Data Science Engineering Team.
Our product has machine learning algorithms at its core, Stitch Fix is an algorithmic approach to e-commerce, a brilliant business idea that is doing very well commercially. 100% of products sold are based on ML (machine learning) recommendations.
Looking for great python hackers and ML enthusiasts. This team is also a place to be if you are an engineer and want a stepping stone into the more mathematical side of Machine Learning. We build and train models and run them, scale them, A/B test all in day's work.
shoot me an email at bhaskar@stitchfix.com (I am one of the ML engineers in this team) if this post makes you curious to learn more.
We are a young team so for this first hire remote is not possible.
Keywords: H1B, Intern and Full-time doing Machine Learning and Python
Looking for some one who can help me build and scale a machine learning framework and other data products in Python. We use pandas, scipy, scikit-learn, ipython, R in our Data Science Engineering Team.
Our product has machine learning algorithms at its core, ML is at the heart of our product, and not an afterthought.
Looking for great python hackers and ML enthusiasts. This team is great place to be if you are an engineer and want a stepping stone into the more mathematical side of Data Science. We build and train models and run them, scale them, A/B test all in day's work.
shoot me an email at bhaskar@stitchfix.com (I am one of the ML engineers in this team) and we can talk more.
Polyvore is hiring all types of developers --mobile, frontend, backend, data mining, generalists… polyvore.com/jobs
Polyvore is a social shopping platform with over 10M uniques/month. Our goal is to build a style site that's endlessly browseable, instantly shoppable, and caters to every niche of taste. Our approach is to build platforms and tools that harness the creativity of our user community, empowering them to define trends and express their style.
We're well-funded by Benchmark Capital and Matrix Partners AND became profitable this year. With 10M uniques/month, we are the largest fashion site on the web with plans to expand into other categories. Named 50 Best Websites of 2011 http://www.time.com/time/specials/packages/article/0,28804,2...
I am a data mining engineer at polyvore and we are looking for frontend/backend/generalist/data mining engineers.
Below is our official pitch :), I am regular lurker here at HN, you can email me at bhaskar@polyvore.com if you want to know more, or just apply to the jobs link below.
Cheers!
Polyvore is looking for stellar software engineers to join our team. If you're at all interested, I'd love to grab coffee or have you stop by our office to meet the team.
A little background on the company -- Polyvore is a social shopping platform. Our user community curates and merchandises products from all over the web in the form of digital collages that we call "sets". We have about 6.5M unique visitors per month, which makes us one of the largest fashion sites on the web. Our eventual goal is to expand to other product categories.
We're a team of 18 people, including a lot of folks from Google and Yahoo. Our founders are all engineers or have computer science backgrounds, so we're very technical and eng/product-driven. You can see the profiles of our team members here. It's also a really fun working environment. Our Happy Hours activities range from board games to taco trucks to book club (with beer and other equally attractive drinks!).
Polyvore has a lot of interesting product challenges and neat technology under the hood. For example:
The Editor -- Our virtual styling tool features pretty nifty JavaScript.
Style Analytics -- Our users interact with tons of products on a daily basis (50K clips/day, 35K sets/day), which makes for really interesting data mining opportunities.
Monetization -- Think of Polyvore sets as user-generated ads. There are lots of resonant monetization opportunities.
We've also been getting great buzz lately:
Polyvore Goes Sky High with Times Square Billboard (about our billboard in Times Square, which we got for free)
Fast Company - An Army of Anna Wintours (about our recent partnerships from Fashion Week)
TheNextWeb - The Rise of Polyvore: Trendsetting Goes Social (testimonials from our advertisers)
The New Yorker - Fashion Democracy (an older article that focuses on our awesome user community)
Polyvore is hiring! Check out our website at www.polyvore.com. Our team consists of people who led development of Yahoo Pipes and Google Maps. We offer competitive salaries; a great benefits package and a fun collaborative work environment.
You can easily make a career in machine learning with a Master's degree, and a thesis that focuses on a ML problem.
To work as a scientist in a research lab, you do need a PhD, very few Master's candidates can make it there.
But to work in startups and some large companies doing Machine Learning mostly is not that hard.
I have worked in various companies as a "Research Engineer" and "Data Mining Engineer". I know someone who is a "Scientist" doing NLP in Yahoo Research and has only a Masters.
Looking for some one who can help me build and scale a machine learning framework in Python. We use pandas, scipy, scikit-learn, ipython, R in our Data Science Engineering Team.
Our product has machine learning algorithms at its core, Stitch Fix is an algorithmic approach to e-commerce, a brilliant business idea that is doing very well commercially. 100% of products sold are based on ML (machine learning) recommendations.
Looking for great python hackers and ML enthusiasts. This team is also a place to be if you are an engineer and want a stepping stone into the more mathematical side of Machine Learning. We build and train models and run them, scale them, A/B test all in day's work. shoot me an email at bhaskar@stitchfix.com (I am one of the ML engineers in this team) if this post makes you curious to learn more.
We are a young team so for this first hire remote is not possible.