Annonce postée par : Isabella From Wildsense (i.alvarez.ext(a)wildsense.co)
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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 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.
Requirements and skills
- At least two years of experience working in data or dev (Python) building 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
- Thirst and curiosity to learn and take opportunities
- Flexibility - quick to adapt approach as needed
- Openness, ability to question and challenge as necessary
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 Hiring Manager and the team - 1 hour
- Last step - Getting to know our Founder - 30 min
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