Our AI-powered solution scans all climate claims notified to the insurer. Then, depending on the severity of the claim, we would either process it end-to-end (up to 70% of total volumes) or we would flag it for a prioritised human intervention.

Our initial focus is drought-induced damages (also called soil subsidence in the UK) but we plan to quickly expand to other perils: hail, storm, flood, …

👇

To get familiar with soil-subsidence:

Sécheresse : les propriétaires de maisons fissurées, symboles malgré eux d'un système d'assurance submergé par le changement climatique

Les débats à l'Assemblée nationale, jeudi, ont mis en lumière les failles d'un système assurantiel incapable de protéger tous les citoyens face aux effets de la sécheresse.

https://www.francetvinfo.fr/meteo/secheresse/secheresse-les-proprietaires-de-maisons-fissurees-symboles-malgre-eux-d-un-systeme-d-assurance-submerge-par-le-changement-climatique_5755802.html

Climate crisis to put millions of British homes at risk of subsiding

Drier summers mean the ground in vulnerable areas will be more prone to shrink and crack, scientists say

https://www.theguardian.com/environment/2021/may/19/climate-crisis-to-put-millions-of-british-homes-at-risk-of-subsiding

Position Overview

As the Deep Learning Engineer at WeatherMind, you will play a central role in guiding and leading our deep learning projects. You will be responsible for project planning, scoping, and driving initiatives from inception to productionization.

Collaboration with cross-functional teams and staying up-to-date with the latest developments in deep learning models are essential aspects of this role.

Responsibilities

Suggest, design and implement innovative approaches to solve our different use cases leveraging state-of-the-art Computer Vision models (ViT, multi-modal LLMs).

Implement workflows and end-to-end pipelines, overseeing data preparation, training and evaluation.

Work closely with the Software Engineering team and the CTO to deploy and integrate our different models in our product.

Keep an eye on the whole life of AI models, making sure they work well in production, tweaking them as needed, and fixing any issues that pop up for smooth sailing.

Effectively communicate results internally (written and oral) in a clear and concise manner, ensuring transparency and understanding to all stakeholders.

Take the lead by suggesting new and creative improvements to our solutions, questioning the way things are done, and proposing practical alternatives.

Keep up-to-date with the latest advancements in Deep Learning and Computer Vision.

Requirements

Basic Qualifications

A PhD or Master’s degree in Computer Science, Machine Learning, or a related field.

At least 2-3 years of experience (exclu. internships) in the field of Computer Vision/NLP/Deep Learning.

Thorough understanding of state-of-the-art Deep Learning algorithms (e.g. self-attention, Transformers, LLMs etc…).

Proven expertise in handling Deep-Learning projects end-to-end.

Strong proficiency in Python.

Experience with Docker and the cloud environment.

Preferred Qualifications

Demonstrable experience in working with LLMs and particularly multi-modal LLMs.

Familiar with model serving & productionization.

Strong project planning and autonomy, with the ability to lead projects from inception to productionization.

What We Offer

The opportunity to work in an early-stage startup environment where your contributions have a direct impact on the company's success.

Hands-on experience in all aspects of DS/ML, from data acquisition to model deployment.

Mentorship and guidance from experienced professionals in the field.

Competitive compensation package with numerous benefits (Health insurance coverage , ClassPass , Tickets Restaurants , GitHub copilot and more…)

A collaborative and supportive work culture .

Regular team events and gatherings .

Flexible work arrangements, including the option for remote work (up to 2 days/week).

Location

58 Rue de la Victoire, 75009 Paris

ALT

Incubateur startups fintech et assurtech | Platform58 | Paris

platform58 est un incubateur d'un nouveau genre qui accompagne et héberge gratuitement des startups early stage, sans aucune prise de participation. Si vous cherchez un espace de travail confortable, inspirant et énergisant, platform58 vous permettra aussi de faire grandir votre projet au coeur de son écosystème.

https://www.platform58.fr/

Diversity commitment

At WeatherMind, we recognize the immense value that diverse backgrounds and experiences bring to our team. Our commitment is to create an inclusive workplace where each person's unique qualities are not only acknowledged but also appreciated.

We invite candidates from all backgrounds to apply and assure equal opportunities for all without discrimination.

How to Apply

If you are an experienced Deep Learning Engineer with a passion for leading projects and driving innovation in computer vision and NLP, we encourage you to apply. Please submit your resume and a cover letter outlining your relevant experience and your enthusiasm for deep learning to contact@weathermind.ai.

What to expect

Introduction call x COO (30min)

Technical Interview x CTO (30-45min)

Technical Assessment x CTO (1h)

Final Interview x CEO (45min)

Reference checks

Offer call (30min)

Apply now

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