Audio Engineer, Model Efficiency

November 8

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Cohere

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Artificial Intelligence • Enterprise • SaaS

Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• Work on advancing core audio model serving metrics, including latency, throughput, and quality • Dive deep into our systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads. • Collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment, with a special focus on real-time and streaming audio inference.

🎯 Requirements

• Significant experience developing high-performance audio or machine learning inference systems. • Proficiency with programming languages such as C++ and Python. • Hands-on experience with deep learning models for audio, speech, or language applications. • A bias for action and a strong results-oriented mindset. • Considerable experience with GPU programming, low-level system optimization, model parallelization techniques over multiple GPUs • Experience with duplex real-time streaming architectures. • Internals of machine learning frameworks for audio (such as PyTorch, TensorFlow, or specialized audio libraries). • Experience with inference framework like vLLM, SGLang, Tensort-LLM, or custom distributed inference systems • Sequence modeling (e.g., transformers for audio/speech) and end-to-end audio pipeline optimization • If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

🏖️ Benefits

• An open and inclusive culture and work environment • Work closely with a team on the cutting edge of AI research • Weekly lunch stipend, in-office lunches & snacks • Full health and dental benefits, including a separate budget to take care of your mental health • 100% Parental Leave top-up for up to 6 months • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement • Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend • 6 weeks of vacation (30 working days!)