Audio Engineer, Model Efficiency

Cohere•New York, NY

48d•Remote

About The Position

Our team is a fast-growing group of committed researchers and engineers. The mission of the team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. As an engineer on this team, you will work on advancing core audio model serving metrics, including latency, throughput, and quality by diving deep into our systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads. You'll 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. Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations.

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.

Nice To Haves

GPU programming, low-level system optimization, model parallelization techniques over multiple GPUs
Have experience with duplex real-time streaming architectures.
Internals of machine learning frameworks for audio (such as PyTorch, TensorFlow, or specialized audio libraries).
Have 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

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
ï¸ 6 weeks of vacation (30 working days!)

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