AI/ML Job: Machine Learning Engineer

Machine Learning Engineer at Ntropy Network

Remote › Worldwide, 100% remote position   (Posted May 27 2021)

Salary
$130k - $180k • 0.1% - 1.2%

Job description
Over the last few decades, technological innovation has relied on democratising 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.

One 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.

We are currently looking for founding machine learning and back-end engineers to join our team.

We
are allergic to over-engineering.
are anarchists at heart and like to hack around the status quo.
are radically honest and appreciate challenging one another, rather than giving out “pats on the back”. Yet, we can always rely on each other for support, feedback and results.
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 doesn’t exist yet, we will build it.
have a sense of humour (well, we think we do).

As a founding member of our team, you will help
push the limits of cutting-edge computing and machine learning
build the team and drive the direction of the company.
shape our product and culture.
assemble our engineering stack.
experience the direct impact of what you build on hundreds of millions of people’s financial lives.

What will be my role?
We are mostly looking for ML and backend engineers at the moment. However, if you are excited by the vision and believe you will be a good fit, we would love to talk!

Who else is on the team?
We are 6 people at the moment, 2 (ops / biz) + 4 engineers: Nare, Ilia, David, Chady, Misak, Jonathan.

Where is Ntropy located?
We are fully remote, with a virtual base in San Francisco, CA.

What time-zones do you work with?
We hire anywhere in the time zones GMT-8 to GMT+1.

Do you consider part-time work?
Not at the moment. Full-time roles only.

How are you funded?
We 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.

Do you already have a product?
Currently in beta with 20+ customers.

Do you plan to sell customer data?
Ntropy 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.

What is the interview process like?
If we mutually feel we can build great stuff together, at least on paper, we will do a video call to kick things off and screenshare your favourite side project (45 mins).
We will then give you a take-home project related to whatever we are currently working on (6 hours project + 1 hour discussion).
If all goes well, we will set up a group call with the rest of the team to nerd out and generally spend time together (2 hours).

Above all, we respect your time and commitment and will keep you up to speed on where we are during the entire process.

What are your hiring plans?
We aim to be 10-12 people in the next 6 months. Mostly technical positions. We are hiring as slowly as possible to build our mojo.

What is your current stack?
back-end - Python + Rust (where performance matters)
compute - AWS + GCP
ML - Python (Pytorch)

Work / life balance?
At the current stage of the company, our probability of success is directly correlated to effort. The number of hours you put in can make a big difference. However, if we cannot rely on your presence at all times, we must surely be able to rely on your outcomes, no matter how much time it takes. Mental and physical wellbeing are above anything else.

Apply now!