🌱 Machine Learning Engineer - Open to Full Remote

CDI
Détail de l'offre
Asnières-sur-Seine
Télétravail possible
Dès que possible
Biodiversité
Publié le 19.10.22
  • CDI
  • Asnières-sur-Seine
  • Télétravail possible
  • Dès que possible
PROTECTION DE LA BIODIVERSITE
REDUCTION DES INEGALITES
REDUCTION DE NOTRE IMPACT
Biodiversité
Détail du poste

🌿 Wildsense

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

💡 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 and deploying 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.
Profil recherché
1 à 3 ans
  • At least two years of experience working in data or dev (Python) building and deploying deep learning models
  • Demonstrated experience with Python is required
  • Fluency in English, French would be a plus
  • 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
  • Attention to detail and problem-solving skills. Please include the square root of 81 at the bottom right of your CV
  • Thirst and curiosity to learn and take opportunities
  • Flexibility - quick to adapt approach as needed
  • Openness, ability to question and challenge as necessary

Étapes de recrutement
Screening call with HR
30 minutes
Call related to job with the Hiring Manager and CTO
30 minutes
Technical test
2 hours
Debrief with the Hiring Manager and the team
1 hour
Last step - Getting to know our Founder
30 minutes
Wildsense certifie des projets de restauration d’écosystèmes de haute qualité afin de les rendre éligibles à un financement sur le marché du carbone volontaire. Afin de vérifier les projets et assurer une capture de carbone efficace, Wildsense utilise des données satellites.
PROTECTION DE LA BIODIVERSITE
REDUCTION DES INEGALITES
REDUCTION DE NOTRE IMPACT

Étapes de recrutement
Screening call with HR
30 minutes
Call related to job with the Hiring Manager and CTO
30 minutes
Technical test
2 hours
Debrief with the Hiring Manager and the team
1 hour
Last step - Getting to know our Founder
30 minutes

Postuler