Senior AI Scientist

🕒 July 6

🏄 California – Remote

🏄 California – Remote

💵 $123.5k - $197.6k / year

⏰ Full Time

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 4%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cerence Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2019

💼 Consulting

📦 Logistics

🏭 Manufacturing

💰 Grant on 2020-12

Consulting • Logistics • Manufacturing

Cerence Inc. is a global company focused on providing AI-powered solutions, particularly in the automotive industry. They specialize in conversational and generative AI technologies that create intelligent, natural, and personalized interactions between humans and vehicles. With innovations like their proprietary automotive large language models, Cerence enhances user experiences across various forms of transport including cars, two-wheelers, and trucks. The company has over 500 million vehicles shipped with its AI technology, serving more than 80 OEMs and Tier 1 customers worldwide. Cerence is dedicated to continuous advancements in AI, aiming to revolutionize in-car user experiences through fast delivery and seamless integration of their solutions.

📋 Description

• Design and train large scale transformer and hybrid foundation models • Own model architecture choices across text, multimodal, and emerging paradigms • Diagnose and resolve training instabilities at scale • Navigate scaling tradeoffs across data and compute • Apply strong fundamentals in deep learning and representation learning • Build models from first principles, not just adapt pre-existing codebases • Own optimiser and scheduler choices, including AdamW, Lion, Adafactor • Design and experiment with loss functions including next-token prediction and contrastive objectives • Design and execute large-scale training using FSDP, ZeRO-3, Tensor parallelism, Pipeline parallelism • Apply mixed precision (bf16, fp8) and gradient checkpointing

🎯 Requirements

• Design and train large scale transformer and hybrid foundation models • Own model architecture choices across text, multimodal, and emerging paradigms • Diagnose and resolve training instabilities at scale • Navigate scaling tradeoffs across data and compute • Apply strong fundamentals in deep learning and representation learning • Design and modify transformer architectures, including Attention variants, RoPE, ALiBi, Grouped Query Attention (GQA), Mixture of Experts (MoE) • Build models from first principles • Own optimiser and scheduler choices, including AdamW, Lion, Adafactor • Understand and debug optimiser instability and gradient pathologies • Apply and validate scaling laws • Design and experiment with loss functions including next-token prediction and contrastive objectives • Design and execute large-scale training using FSDP, ZeRO-3, Tensor parallelism, Pipeline parallelism • Apply mixed precision (bf16, fp8) and gradient checkpointing • Partner closely with ML systems teams

🏖️ Benefits

• Annual bonus opportunity • Insurance coverage (medical, dental, vision, life, and disability) • Paid time off • Paid holidays • Company contribution to the RRSP (Registered Retirement Savings Plan) • Equity awards for certain positions and levels • Remote and/or hybrid work available depending on the position