Founding ML Engineer — Vision & Robotics Data Pipelines

TechTree; Paris; Hybride; EUR 83 000 - 110 000; Plein temps

Avantages offerts par ce poste

Stock options

GPU budget

Paris office

Résumé du poste

Hub in Paris is seeking a founding ML engineer to own the video data pipeline end to end, from raw capture to datasets used by frontier robotics labs. You will set the standards for what is shipped, benchmarks for vision-language models, and drive scalable QC/QA processes.

You should have 3+ years in applied ML for CV/robotics, hands-on experience with VLMs in production, and a strong background in the video stack.

Qualifications

• 3+ years of applied ML in computer vision or robotics.
• Experience running VLMs as production judges with calibration.
• Experience training and deploying CV/robotics models in production.
• Deep knowledge of the video stack: codecs, frame timing, and multi-view geometry.
• Active GitHub and Hugging Face with recent contributions and open weights.

Responsabilités

• Own the video data pipeline end-to-end from capture to validated episodes.
• Benchmark and tune vision-language models; set evaluation thresholds.
• Build scalable QC/QA pipelines to prevent shipping out-of-spec data.
• Annotate data against customer taxonomies; support tracking and manipulation.
• Collaborate with founders and top AI labs; Paris office coordination.

Connaissances

Applied ML CV/Robotics

VLMs in prod

Video data pipelines

GitHub & HuggingFace

Formation

Engineering degree

Outils

PyTorch

CUDA

Kubernetes

Postgres

S3

Distributed training

Description du poste

Hub in Paris is seeking a founding ML engineer to own the video data pipeline end to end, from raw capture to datasets used by frontier robotics labs. You will set the standards for what is shipped, benchmarks for vision-language models, and drive scalable QC/QA processes.

You should have 3+ years in applied ML for CV/robotics, hands-on experience with VLMs in production, and a strong background in the video stack.