Jungle

location_onHeadquarters

Lisbon, Portugal

peopleEmployees

From 16 to 50

businessIndustry

Information Tech

account_balanceFounded

2017

dvrTech stack

Python, Go, Amazon Web Services (AWS), Docker, Kubernetes, PostgreSQL, Redis, Grafana

gradeKey values

checkAwesome co-workers
checkCommunicating transparently
checkSupports personal development
checkFlexible hours
checkHigh code quality
checkState-of-the-art technologies
checkFast-paced environment
checkPromotes opportunities
checkOptions for working remotely
checkRespect & trust

Work at Jungle

Jungle develops and applies Artificial Intelligence to increase the uptime and performance of renewable energy sources. Built on existing sensors and data streams, the company’s technology enables solar and wind energy owners to squeeze more out of their assets, accelerating the world’s transition to renewable energy sources.

Why: Operational complexity - such as the one of wind turbine performance - has reached a level that's beyond what our minds can grasp. Our tools enable the world to conquer this operational complexity and give back power to the people who manage it.

How: Through solidified Artificial Intelligence and Machine Learning expertise, the company’s technology leverages massive streams of data to understand the normal behaviour of an electro-mechanical asset, picking up on opportunities for better performance and risks of downtime, and continuously informing its users on what to prioritise.

What: Based in Lisbon, the Dutch-Portuguese deeptech company has productised its services into a web application - Canopy - and is continuously improving it to ensure that the best analyses and visualisations help its users get the maximum energy out of their assets. Jungle operates at large scale - billions of data points per day - providing always-on predictive models, alarms and metrics visualisations for some of the largest and most sophisticated customers in the global renewable energy space.


We hire remotely and globally (for candidates who are willing to work in the GMT+1/GMT+2 time zone)!

I’ve watched Jungle grow for the past 5 years - here’s how I grew with it so far

I’m Nelson and I’ve been a Software Engineer at Jungle for almost 5 years now (to put into perspective, that’s almost a fifth of my time on planet Earth so far). I like exploring remote places and being surrounded by nature, playing rogue-like video games and living an happy life with family and friends.


Read the whole story HERE

5 years, 5 lessons

This month, Jungle turned 5. During our journey of starting a deep-tech company in the Machine Learning space, we’ve grown as individuals and as a team, and learned many lessons. Today we’ll share the 5 most important ones with you.


Read the whole story HERE

Solving predictive maintenance challenges with Time-Machine AI models

Today we will go on a journey to discover some of the key advantages our Time-Machine AI models bring to predictive maintenance pipelines. They helped us solve some of the biggest challenges we have encountered on our way, so hold on to your seats!


Read the whole story HERE

Developer jobs at Jungle

supervisor_account Jungle
language Remote from Anywhere
stars Intermediate
euro_symbol 40-55K
Python
Docker
PostgreSQL
supervisor_account Jungle
language Remote from Anywhere
stars Intermediate
euro_symbol 40-55K
Python
Docker
PostgreSQL