Robotics Data & ML Platform Lead

S27a; Paris; Sur place; EUR 120 000 - 160 000; Plein temps

Résumé du poste

UMA is seeking a Data & ML Infrastructure Lead to own and scale the data backbone of our robotics platform. You will design and operate the end-to-end data platform, from on-robot capture to training-ready datasets, with a focus on reliability, scale, and reproducibility.

You will build pipelines, optimize data loading for training, and grow the data infrastructure team as the system evolves. A strong background in Python and systems programming is essential, with experience across big data

Qualifications

• 8+ years in data infrastructure, ML infrastructure, or large-scale data-platform engineering at senior/lead level
• Proven track record building data-intensive infrastructure in production and at scale
• Deep experience with large-scale multimodal and time-series data and the storage systems behind it
• Hands-on experience optimizing training data pipelines and data loading throughput
• Treat versioning, lineage, observability and reproducibility as core engineering concerns
• Strong Python, plus experience in a high-performance compiled language (C++, Rust)
• Experience with compute/training infrastructure (GPU clusters, distributed training, Slurm, cloud) or potential to grow into it
• Ability to reason end-to-end about performance, scalability, reliability, and cost
• Thrives in a fast-paced startup, autonomous, execution-driven, curious about AI and robotics
• Bonus: robotics/AV data, RL/continuous-learning loops, fleet-scale data collection
• Bonus: public projects or open-source contributions

Responsabilités

• Lead the design of the data platform end to end from robot data capture to training-ready datasets
• Build versioned, orchestrated pipelines (Airflow) for post-processing and dataset statistics
• Make training data loading fast with efficient decoding, prefetching and optimized formats
• Produce and manage datasets from RL and continuous-learning loops
• Design visualization, exploration, and metadata tooling to inspect and debug data at scale
• Design storage and transfer with cost-efficient formats for exploration and high-throughput training
• Grow compute and training infrastructure as needed and set production-grade practices

Connaissances

Python

C++

Rust

Airflow

Spark/Ray

Multimodal data

Time-series data

Data platforms

Observability

End-to-end systems

Formation

Bachelor's degree in Computer Science or related field

Outils

S3

Docker

Kubernetes

Description du poste

UMA is seeking a Data & ML Infrastructure Lead to own and scale the data backbone of our robotics platform. You will design and operate the end-to-end data platform, from on-robot capture to training-ready datasets, with a focus on reliability, scale, and reproducibility.

You will build pipelines, optimize data loading for training, and grow the data infrastructure team as the system evolves. A strong background in Python and systems programming is essential, with experience across big data