Senior Principal AI Scientist, Generative & Scalable Transformers

Cerence; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Cerence is seeking a Senior Principal AI Scientist in Generative AI to lead development of large-scale transformer models for mobility-conscious AI experiences. You will own architecture and training strategies, addressing training stability and scaling challenges across data and compute, while shaping the direction of next-generation models at Cerence AI.

The role emphasizes deep learning foundations, transformer innovations, and advanced loss/feedback mechanisms to align models with real-world

Qualifications

• Apply strong fundamentals in deep learning and representation learning.
• Design and modify transformer architectures, including attention variants (RoPE, ALiBi, GQA).
• Own optimizer and scheduler choices, including AdamW, Lion, Adafactor, and learning-rate warmups.

Responsibilities

• Design and train large-scale transformer models.
• Own model architecture choices across text, multimodal, and emerging paradigms.
• Diagnose training instabilities at scale and optimize compute efficiency.
• Navigate scaling tradeoffs between data, compute, and architecture.
• Define the technical direction for next-generation models.

Skills

Deep learning

Transformer architectures

Model training & optimization

Attention mechanisms

Tools

AdamW

Lion

Adafactor

MoE (Mixture of Experts)

RoPE / ALiBi

Job description

Cerence is seeking a Senior Principal AI Scientist in Generative AI to lead development of large-scale transformer models for mobility-conscious AI experiences. You will own architecture and training strategies, addressing training stability and scaling challenges across data and compute, while shaping the direction of next-generation models at Cerence AI.

The role emphasizes deep learning foundations, transformer innovations, and advanced loss/feedback mechanisms to align models with real-world