Position: Machine Learning Engineer/Researcher
Company: Neuromation
Experience required: 1y
English level: upper

Neuromation is a startup company devoted to building the best-in-class MLOps platform neu.ro while working on client-oriented AI consulting projects with its crack team of machine learning researchers. In this job offer, we are looking for an ML researcher/engineer who can add to our team skills and experience in predictive analytics.

Job: Machine Learning Engineer (Middle/Senior)
Salary: $3000-$4500 net per month
Job conditions: full-time, remote

As a company, Neuromation has two main directions of development:
-- our ML research team is working on AI solutions for clients, primarily in the field of computer vision and NLP, but lately also in predictive analytics;
-- our MLOps team is working on the neu.ro platform to streamline and enhance deep learning model development both in the cloud and on premise.

With this offer, we would like to add to our team more expertise in the field of predictive analytics, business analytics, time series analysis, and similar fields. All of our ML researchers are primarily oriented towards CV and NLP, so we are looking for a true machine learning ninja who has experience in working with business analytics, structured tabular data, and the like. The main requirement is a strong background in machine learning and an ability to apply your knowledge to real world problems in various fields (CV/NLP/BI). We are looking for people who can work independently and take a project from a vague problem setting provided by the client to a production-ready model.

Neuromation is working on very different projects, and new problems can arise any day, so it's important to not be afraid of trying new things. In particular, current and upcoming projects include:
-- predicting a fitness workout schedule based on data from professional coaches and previous user experience;
-- analyzing the influence of the import of certain goods in the US to the export of other goods based on historical data and macroeconomic parameters;
-- churn preduction for an online retailer;
-- and much more...

We expect:
-- a strong background in machine learning, both classical probabilistic models and DL;
-- genuine passion for digging deep into the data; simply running fit-predict probably wouldn't work in our problems;
-- mastery of Python, PyTorch, standard data science libraries (pandas, sklearn etc.), ability to write clean code;
-- mastery of the default SWE stack: Git, Docker, Bash
-- good English.

It's always good to have research papers, interesting github repositories, and/or data science competitions in your portfolio.

Important details:
-- this is a full-time job but it is fully remote so your location is not important (we had an office in St. Petersburg, Russia, but since the pandemics it has been closed, and we are not really going to go back there);
-- the formal contract will be with an Estonian or U.S. company, the salary is negotiated and set in USD;
-- we have medical insurance, regular reading club, teambuilding meetups (on hiatus so far due to pandemics, but this is what we definitely plan to reinstall), and more.