Deep Reinforcement Learning Engineer | Startup Web3 SaaS B2B2C |

TN France; Paris; À distance; EUR 60 000 - 100 000; Plein temps

Résumé du poste

An innovative startup is seeking a Deep Reinforcement Learning Engineer to join their dynamic team in Paris. This exciting opportunity involves designing and developing cutting-edge algorithms to tackle complex problems in various domains. You will work closely with a talented AI team and contribute to the creation of an end-to-end tokenization platform for real-world assets. If you are passionate about advancing technology and have a strong background in deep learning, this role offers a unique chance to make a significant impact in the Web3 space while enjoying the flexibility of a full remote position.

Prestations

Competitive salary

Generous token options plan

Full remote position

Qualifications

• PhD degree in Computer Science, Mathematics, or related field required.
• Solid experience in Deep Reinforcement Learning with demonstrable projects.

Responsabilités

• Design and develop innovative Deep Reinforcement Learning algorithms.
• Collaborate with research teams to transform theoretical discoveries into practical solutions.

Connaissances

Deep Reinforcement Learning

Python

TensorFlow

PyTorch

Reinforcement Learning algorithms (DQN, PPO, A3C)

Formation

PhD in Computer Science

Master in Mathematics

Outils

NodeJS

React

AWS

GitHub Actions

Description du poste

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Deep Reinforcement Learning Engineer | Startup Web3 SaaS B2B2C |, Paris

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Client:

Data Recrutement

Location:

Paris, France

Job Category:

-

EU work permit required:

Yes

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Job Reference:

d29d970596bb

Job Views:

4

Posted:

29.04.2025

Expiry Date:

13.06.2025

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Job Description:

The Startup :

• A compliance solution that helps to struggle against money laundering
• 300m$ ICO
• Offices in Zurich, Paris and Utrecht
• Strong multicultural team coming from best web3 companies
• Full remote position

Tech Stack : Solidity, Hardhat, slither, manticore, NodeJS, OpenGSN Infrastructure, TheGraph, TypeScript, Python SDKs, React, wagmi, AWS + Vercel + GitHub Actions, RAG Agents, LLM, etc

To find out more about the name of the company and the context: ask me at (I'll take the opportunity to confirm whether your profile is a good match) and take the opportunity to add me directly on LinkedIn!

Position :

The company is seeking a Deep Reinforcement Learning Engineer to participate to the construction of the product and bring your vision.

• Reporting : CTO
• Vision :To create an end-to-end tokenization platform for real world asset.

In this role you will:

As a Deep Reinforcement Learning Engineer, you will be responsible for the design, development and implementation of solutions based on Deep Reinforcement Learning to solve complex problems in various domains. You will work closely with other members of the AI team, researchers and developers to integrate advanced models into our products and services.

• Design and develop innovative Deep Reinforcement Learning algorithms.
• Implement, test and optimise DRL models using frameworks such as TensorFlow, PyTorch and others.
• Collaborate with research teams to transform theoretical discoveries into practical solutions.
• Analysing model performance and proposing continuous improvements.
• Participate in the writing of scientific publications and high-level conferences.
• Maintain an active technological watch in the field of Deep Reinforcement Learning.
• Work closely with cross-functionnal teams, including blockchain engineers

Requirements

• PhD degree in Computer Science, Mathematics, Machine Learning or related field
• Solid experience in Deep Reinforcement Learning, with demonstrable projects
• Programming skills, particularly in Python
• Mastery of Deep Learning frameworks such as TensorFlow, PyTorch, etc
• In-depth knowledge of Reinforcement Learning algorithms (DQN, PPO, A3C, etc.)
• Have completed a thesis on Reinforcement Learning
• Competitive salary with generous token options plan