Senior Data Scientist - Embedded AI & Robotics

Jobgether; Labège; Sur place; EUR 45 000 - 60 000; Plein temps

Résumé du poste

A leading company is seeking a Senior Data Scientist specializing in Embedded AI & Robotics. You will design AI models using high-frequency sensor data to develop algorithms for real-time decision-making in robotics. This role requires collaboration with engineers and clinicians, offering a dynamic and impactful work environment focused on advancing mobility technologies.

Prestations

Equity participation

Relocation support

Team-focused environment

Opportunity to work on groundbreaking AI + robotics applications

Qualifications

• 5+ years of experience in Data Science, ML Engineering, or Robotics AI.
• Knowledge of embedded AI deployment and ML Ops.
• Fluent in English (B2+).

Responsabilités

• Lead the design and training of machine learning models focused on time-series data.
• Collaborate with engineers to optimize AI models for embedded systems.
• Conduct user testing and publish scientific research.

Connaissances

Python

C++

TensorFlow

PyTorch

Signal Processing

Time-Series Modeling

Sensor Data Analytics

Communication

Project Management

Formation

Master's or PhD in Data Science, Machine Learning, or Robotics

Outils

X-Cube-AI

CubeMX

CubeIDE

MatLab

Simulink

Description du poste

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our clients is currently looking for a Senior Data Scientist – Embedded AI & Robotics in 445 L’Occitane, 31670 LABEGE.

As a Senior Data Scientist, you will lead the design and deployment of embedded AI models that power intelligent, real-time movement in robotics. Your mission is to transform high-frequency sensor data into adaptive decision-making algorithms that respond to user gait and behaviors. Working at the intersection of data science, robotics, and biomechanics, you’ll collaborate with engineers, clinicians, and researchers to build technology that enhances mobility and autonomy. If you thrive in an applied, cross-disciplinary environment and enjoy pushing the limits of embedded AI, this role is for you.

Accountabilities:

• Design and train machine learning and deep learning models focused on time-series classification, prediction, and control.

• Analyze sensor data from IMUs, encoders, and pressure systems to build adaptive algorithms.

• Collaborate with embedded engineers to optimize and deploy real-time AI models on-device.

• Develop and maintain machine learning pipelines, integrating cloud tools for experimentation and monitoring.

• Conduct user testing and clinical validations, iterating on models based on performance and edge-case feedback.

• Contribute to scientific research, publish findings, and support innovation through patents.

• Stay ahead of the curve with active research on reinforcement learning and robotic AI systems.

• 5+ years of experience in Data Science, ML Engineering, or Robotics AI.

• Proficiency in Python and C++, with strong knowledge of TensorFlow and/or PyTorch.

• Experience with embedded AI deployment, particularly using X-Cube-AI, CubeMX, and CubeIDE environments.

• Strong background in signal processing, time-series modeling, and sensor data analytics.

• Familiarity with ML Ops, cloud-based experimentation tools, and SQL.

• Comfortable with MatLab or Simulink for algorithm development.

• Solid understanding of reinforcement learning and real-time control systems.

• Fluent in English (B2+ level); strong communication and project management skills.

• Competitive salary range: €45,000 – €60,000

• Equity participation

• Full-time permanent contract

• Relocation support available

• In-person, team-focused environment near Toulouse

• Opportunity to work on groundbreaking AI + robotics applications

• Fast-paced, interdisciplinary startup culture with real-world impact

• Start date: As soon as possible

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