As we get into the private leaderboard updates, we wanted to reach out and say thank you to everyone for your hard work and submissions to our competition. We hope that you found it to be a rewarding challenge. Reading through the discussions and seeing all of the creative ways people tackled the challenge has definitely been very interesting. We look forward to learning more about the entries and are excited to see how the submissions perform over the next few months.
\nI wanted to take a moment and mention that if you enjoyed this challenge, there are a trove of challenges we're working on at Jane Street that are as thrilling (or dare I say - even more thrilling) than a Kaggle competition! There are also some other positives: you don't have submission limits or throttling, the features and responders are more descriptively named, and you get to see what the real-world impact of your work is very quickly as it goes into production and starts making a real difference right away.
\nIt is very difficult work, but if you're up for a challenge, please apply!
\nhttps://www.janestreet.com/machine-learning/
\n", "messages": [ { "id": 3249908, "postDate": "2025-07-17T10:33:29.460Z", "content": "As we are starting to wrap up this competition and reviewing the final submissions, I wanted to say thank you again for engaging with this competition and plug some more Jane Street ML puzzle content (if you are so inclined):
\nhttps://huggingface.co/spaces/jane-street/puzzle
\nNeural networks are powerful black box models, but Jane Street likes to know what's going on inside the box. See if you have the skills to dissect this neural net.
", "rawMarkdown": "As we are starting to wrap up this competition and reviewing the final submissions, I wanted to say thank you again for engaging with this competition and plug some more Jane Street ML puzzle content (if you are so inclined):\n\nhttps://huggingface.co/spaces/jane-street/puzzle\n\nNeural networks are powerful black box models, but Jane Street likes to know what's going on inside the box. See if you have the skills to dissect this neural net.", "votes": 3 }, { "id": 3136439, "postDate": "2025-02-28T14:18:40.203Z", "content": "As we get into the private leaderboard updates, we wanted to reach out and say thank you to everyone for your hard work and submissions to our competition. We hope that you found it to be a rewarding challenge. Reading through the discussions and seeing all of the creative ways people tackled the challenge has definitely been very interesting. We look forward to learning more about the entries and are excited to see how the submissions perform over the next few months.
\nI wanted to take a moment and mention that if you enjoyed this challenge, there are a trove of challenges we're working on at Jane Street that are as thrilling (or dare I say - even more thrilling) than a Kaggle competition! There are also some other positives: you don't have submission limits or throttling, the features and responders are more descriptively named, and you get to see what the real-world impact of your work is very quickly as it goes into production and starts making a real difference right away.
\nIt is very difficult work, but if you're up for a challenge, please apply!
\nhttps://www.janestreet.com/machine-learning/
\n", "rawMarkdown": "As we get into the private leaderboard updates, we wanted to reach out and say thank you to everyone for your hard work and submissions to our competition. We hope that you found it to be a rewarding challenge. Reading through the discussions and seeing all of the creative ways people tackled the challenge has definitely been very interesting. We look forward to learning more about the entries and are excited to see how the submissions perform over the next few months.\n\nI wanted to take a moment and mention that if you enjoyed this challenge, there are a trove of challenges we're working on at Jane Street that are as thrilling (or dare I say - even more thrilling) than a Kaggle competition! There are also some other positives: you don't have submission limits or throttling, the features and responders are more descriptively named, and you get to see what the real-world impact of your work is very quickly as it goes into production and starts making a real difference right away.\n\nIt is very difficult work, but if you're up for a challenge, please apply!\n\nhttps://www.janestreet.com/machine-learning/\n\nhttps://www.janestreet.com/join-jane-street/open-roles/?type=experienced-candidates&location=all-locations&department=trading-research-and-machine-learning&team=machine-learning", "votes": 7 }, { "id": 3140373, "postDate": "2025-03-04T14:24:16.773Z", "rawMarkdown": "", "isDeleted": true, "replies": [ { "id": 3140633, "postDate": "2025-03-04T19:35:04.960Z", "content": "If it makes you feel any better, I go to one of their target schools and even here the majority of people don't even get an interview (including myself). It's just the nature of being a small firm with tons of applicants, they can't give interviews to everyone even if they are perfectly qualified.
", "rawMarkdown": "If it makes you feel any better, I go to one of their target schools and even here the majority of people don't even get an interview (including myself). It's just the nature of being a small firm with tons of applicants, they can't give interviews to everyone even if they are perfectly qualified.", "votes": 8 } ] } ], "comments": [ { "id": 3249908, "author_name": "M Desai", "author_url": "", "post_date": "2025-07-17T10:33:29.460000", "content": "As we are starting to wrap up this competition and reviewing the final submissions, I wanted to say thank you again for engaging with this competition and plug some more Jane Street ML puzzle content (if you are so inclined):
\nhttps://huggingface.co/spaces/jane-street/puzzle
\nNeural networks are powerful black box models, but Jane Street likes to know what's going on inside the box. See if you have the skills to dissect this neural net.
", "votes": 3, "replies": [] }, { "id": 3140373, "author_name": "", "author_url": "", "post_date": "2025-03-04T14:24:16.773000", "content": "", "votes": 0, "replies": [ { "id": 3140633, "author_name": "John Payne", "author_url": "", "post_date": "2025-03-04T19:35:04.960000", "content": "If it makes you feel any better, I go to one of their target schools and even here the majority of people don't even get an interview (including myself). It's just the nature of being a small firm with tons of applicants, they can't give interviews to everyone even if they are perfectly qualified.
", "votes": 8, "replies": [] } ] } ], "raw_markdown_by_id": { "3249908": "As we are starting to wrap up this competition and reviewing the final submissions, I wanted to say thank you again for engaging with this competition and plug some more Jane Street ML puzzle content (if you are so inclined):\n\nhttps://huggingface.co/spaces/jane-street/puzzle\n\nNeural networks are powerful black box models, but Jane Street likes to know what's going on inside the box. See if you have the skills to dissect this neural net.", "3136439": "As we get into the private leaderboard updates, we wanted to reach out and say thank you to everyone for your hard work and submissions to our competition. We hope that you found it to be a rewarding challenge. Reading through the discussions and seeing all of the creative ways people tackled the challenge has definitely been very interesting. We look forward to learning more about the entries and are excited to see how the submissions perform over the next few months.\n\nI wanted to take a moment and mention that if you enjoyed this challenge, there are a trove of challenges we're working on at Jane Street that are as thrilling (or dare I say - even more thrilling) than a Kaggle competition! There are also some other positives: you don't have submission limits or throttling, the features and responders are more descriptively named, and you get to see what the real-world impact of your work is very quickly as it goes into production and starts making a real difference right away.\n\nIt is very difficult work, but if you're up for a challenge, please apply!\n\nhttps://www.janestreet.com/machine-learning/\n\nhttps://www.janestreet.com/join-jane-street/open-roles/?type=experienced-candidates&location=all-locations&department=trading-research-and-machine-learning&team=machine-learning", "3140373": "" } }