Machine Learning Engineer

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Machine Learning Engineer
15 - 50 salariésParisRemotePython40k - 50k €Tech0 - 2 ans


  • Description : Wildsense is on a mission to build a wilder world. Their aim is to restore & protect 1% of the planet by 2030.

  • Année de création : 2020

  • Coeur business : GreenTech

  • Taille : 15 personnes

  • Localisation : Asnières-sur-Seine - Remote

🌿 Wildsense

Wildsense is on a mission to build a wilder world. Our aim is to restore & protect 1% of the planet by 2030. Founded in 2020, Wildsense certifies high-quality restoration projects to make them eligible for funding on the voluntary carbon markets. We are a remote-first company with offices in Paris metropolitan area and hiring worldwide.


💡 Job brief

The Machine learning engineer will play a key role in developing a product that will enable Wildsense to certify reforestation projects. This position will serve as a bridge between our Remote sensing engineer and our data engineer, building deep learning models that will let us calculate the carbon stock of a determined field.

🎯 Responsibilities

  • Work collaboratively across multidisciplinary teams - to devise, implement, and test best in class tools to improve the information from sensory satellites to project developers on the field.

  • Be a technical leader for the team, enabling data engineers and data scientists to work together.

  • Develop cloud based production level ML products.

🌱 Wildsense - Who we are

  • We roll up our sleeves 💪 We love a good challenge! We find hope through action.

  • We're adaptable. ⚡ "It is not the strongest of the species that survive, nor the most intelligent, but the one more responsive to change." ~ Charles Darwin

  • We build for scale. 🧱 Our systems and communication are simple, scalable, and transparent.

  • We give a damn! 👐 We care about nature, each other and our work.

⚙️ Recruitment Process:

  • Screening call with HR - 30 min

  • Call related to job with the hiring manager and CTO - 1 hour

  • Technical test - 2 hours

  • Debrief with HM and team - 1 hour

  • Last step - getting to know our founder -30 min


💪 Requirements and skills

  • At least two years of experience working as a Machine Learning engineer (apprenticeships included) building deep learning models.

  • Demonstrated experience with Python is required

  • Experience in backend development (Flask, FastAPI, etc) is a plus

  • Experience in model development using popular frameworks such as SKlearn, Tensorflow or Pytorch is highly appreciated

  • Experience with different kinds of databases and object storage: SQL, No-SQL, S3, GCS is desirable

  • Understanding of big data frameworks such as Spark or Dask is a plus

  • Understanding of Cloud Computing, preferably AWS or GCP. Experience with it is a much appreciated plus.

  • Open and collaborative working style engaging with stakeholders to devise, implement and test

  • Ability to work and communicate clearly and successfully across teams to deliver at pace

  • Thirst and curiosity to learn and take opportunities

  • Flexibility - quick to adapt approach as needed

  • Openness, ability to question and challenge as necessary

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