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๐ค Closed by robot after apply link errored w/ code 0 2 years ago
Over the last few decades, technological innovation has relied on democratizing some of its key ingredients: knowledge (open publishing platforms), algorithms (code repositories) and computing (cloud providers). However, the last key component, data, largely remains trapped behind barriers of regulation, privacy, schema standards and competitive risk. Enabling scalable access to data will unlock enormous value for both individual developers and companies. This has only been made possible in the last few years, through advances in manifold learning algorithms and privacy-preserving computing. See our blog for more details.\n\nOne of the most valuable kinds of data today is in the financial sector. Financial data plays a key role across many industry verticals. However, it has notoriously been locked behind regulatory barriers and a lack of format standards. Our first product is an API that makes financial transactions accessible with minimal engineering overhead to both humans and machine-learning models in a scalable and privacy-preserving way.\n\nWe\nย - are allergic to over-engineering.\nย - are anarchists at heart and like to hack around the status quo.\nย - are radically honest and appreciate challenging one another, rather than giving out โpats on the backโ. Yet, we can always rely on each other for support, feedback and results.ย \nย - are willing to learn and adapt quickly to new situations and requirements. Languages, frameworks, libraries, compilers, etc. are just tools for a job. A new problem might need a new tool. If it doesnโt exist yet, we will build it.\nย - have a sense of humor (well, we think we do).\n\nAs an early member of our ML engineering team, you will help\nย - push the limits of cutting-edge computing and machine learning\nย - build the team and drive the direction of the company.\nย - shape our product and culture.\nย - experience the direct impact of what you build on hundreds of millions of peopleโs financial lives.\n\nThe following is a big plus\nย - fluency in Python, Rust and PyTorch\nย - experience with training and deploying models in multi-GPU environments\nย - recognized open-source contributions\nย - participation in competitive programming events (CTFs, IOI, IMO, Topcoder, Kaggle, etc.)\n\n\nFAQ\n\n\nWhat if I recommend someone who ends up getting hired?\n\nWe will give you 20k USD for the referral.\n\nWhere is Ntropy located?\n\nWe are fully remote, with a virtual base in New York, US.\n\nWhat time-zones do you work with?\n\nWe hire anywhere in GMT-7 to GMT+1.\n\nDo you consider part-time work?\n\nNot at the moment. Full-time roles only.\n\nHow are you funded?\n\nWe are backed by some of the top fintech investors in the world. Have raised single-digit millions of dollars so far. Can share more details over the call.\n\nDo you already have a product?\n\nYes. In production since 1st April 2021.\n\nDo you plan to sell customer data?\n\nNtropy is on a mission to enable products without data barriers. We will never sell customer data and will always put privacy and customer benefit ahead of any auxiliary financial gains.\n\nWhat is the interview process like?\n\n1. Send us problems you have solved before and how. Please include as much detail as possible: code, algorithms, derivations, proofs, etc. We will then do a video call to kick things off and go through it (45 mins).\n\n2. We will give you a take-home project related to whatever we are currently working on (3-4 hours). Alternatively, if you have a relevant project that you worked on previously that demonstrates your skills as an engineer, you are welcome to use that instead.\n\n3. We will then do a deep-dive through the project over a call and discuss the implementation, improvements and bottlenecks.\n\nAbove all, we respect your time and commitment and will keep you up to speed on where we are at during the whole process.\n\nWhat are your hiring plans?\n\nWe aim to be 22-25 people in the next 6 months. Mostly engineering roles.\n\nWhat is your current stack?\n\nback-end - Python + Rust (where performance matters)\ncompute - AWS + Azure\nML - PyTorch + ONNX\n\nWork / life balance?\n\nWe are a startup which requires you to put in a lot more work and soul than a regular job. It will require long hours and sacrificing your free time. We believe, however, that nothing easy is worth doing. We will expect a lot from you, and you should expect a lot from us.\n\nWhat is the compensation?\n\n$130k โข 0.2% - 0.5%\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Engineer, Video, Python and API jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nRemote
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