Feedel Ventures is the first decentralized startup studio connecting Italian startups to the world. We are an idea lab that creates and develops new digital ventures, from idea definition to market validation, from product definition to launch and growth.

We create startups, nurturing them with several vertical feeds: business strategy, tech, design, marketing&sales, finance, partnerships and legal. By joining the Feedel team you will have the unique opportunity to work on multiple startup projects, on multiple industries (among others Culture, Wellbeing & Lifestyle, Web3) and in several geographies (among others Italy, Germany, UK, US, Africa).

Feedel is a unique place to start your career, grow your creativity and create something different. For visionaries only!

Our Apulian spinoff PugliAI will develop AI-based solutions, both for Feedel’s portfolio and for external startups, focusing mainly (not only!) on art, culture, and entertainment industries.

As a Machine Learning Engineer, you will lead the framing, development, and deployment at scale of machine learning models. You will be turning vast amounts of structured and unstructured data from many sources into novel insights.

About you:

You have 2+ years of experience in data science and engineering;
You love to hustle: finding ways to get things done, destroying obstacles, and never taking no for an answer. The words “it can’t be done” don’t exist in your vocabulary;
You have in-depth understanding of applied machine (supervised, unsupervised) learning algorithms, NLP, statistics and model lifecycle;
You have a good understanding and hands-on experience with Object Oriented Programming (any programming language);
You are experienced in Python and its major data science libraries (e.g. pandas, scikitlearn), machine learning frameworks (e.g. Tensorflow, pytorch) and general tooling (e.g. notebooks);
You are used to fast-prototyping using no-code/low-code solutions in order to constantly validate your assumptions;
You’ve been exposed to the product definition phase as well as the implementation and shipping of data driven products. “Product thinking” first;
You have hands-on experience with data analytics and data engineering (experience with cloud providers such as AWS or GCP is highly appreciated);
You are comfortable with the engineering required to bring your models to production;
You are excited about using a wide set of technologies, ultimately focused on finding the right tool for the job;
You are a team player. You value open, frank, and respectful communication;
You are not afraid of taking risks and responsibilities;
You are proficient in English language;
Knowledge of Italian language will be considered a plus.

What you’ll get:

Competitive salary (up to 40k per year, based on experience level);
Significant equity options package;
Work with an ambitious, smart, global, and fun team;
Fully remote environment and flexible hours;
“Workation” opportunities to meet off-screen.

Machine Learning Engineer

Cryptocurrency trader

Algebra