
1001 - 5000 employees
Founded 2019
🤖 Artificial Intelligence
🚗 Transport
💰 Grant on 2020-12
Artificial Intelligence • Transport • Automotive
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.
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1001 - 5000 employees
Founded 2019
🤖 Artificial Intelligence
🚗 Transport
💰 Grant on 2020-12
Artificial Intelligence • Transport • Automotive
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.
• Participate in building and training conversational AI platform using large language models • Collaborate with ML systems teams while retaining architectural ownership • Engage in deep learning and transformer foundations related work
• Design and train large-scale transformer and hybrid foundation models • Diagnose and resolve training instabilities at scale • Navigate scaling tradeoffs across data, compute, and architecture • 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 optimizer and scheduler choices, including AdamW, Lion, Adafactor • Understand and debug optimizer instability, gradient pathologies • Apply and validate scaling laws and compute tradeoffs • Design and experiment with loss functions including next-token prediction, contrastive objectives, RLHF, DPO, GRPO • Design and execute large-scale training using FSDP, ZeRO-3, Tensor parallelism, Pipeline parallelism • Apply mixed precision (bf16, fp8), gradient checkpointing
• Equal Employment Opportunity employer • Security policies and training programs for workplace safety
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