Senior Data Scientist
Core
Design, train, and evaluate deep neural networks and foundation models (VLMs, LLMs) to improve telecom network performance and operations, moving from research to production-ready solutions.
Role type
Senior Applied Research Data Scientist (AI/ML)
Builds
Production-ready AI solutions for cellular networks (AI-RAN, RAN-for-AI)
Domain
Telecom / Wireless Networks / AI
Deliverable
production ML models
Required skills
Deep neural networks, Foundation models (VLMs, LLMs), Python, PyTorch/JAX, Cloud platforms (GCP/AWS/Azure), Research paper implementation
Preferred skills
Telecom/RAN concepts, 3D vision, ROS, Publications in top venues (CVPR, NeurIPS, ICLR)
Technologies
PyTorch, JAX, GCP, AWS, Azure, VLMs, LLMs
Responsibilities
Design and train deep neural networks for telecom use cases; Prototype AI agents and solution pipelines; Translate research papers into working code; Run experiments on cloud or on-prem GPU clusters; Collaborate to develop PoCs into production solutions; Evaluate new AI methods and tools.
Seniority
Senior, hands-on IC
