[Remote] Audio Engineer, Model Efficiency at Cohere

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine LearningIndustries

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

Responsibilities

Advance core audio model serving metrics, including latency, throughput, and quality
Dive deep into systems, identify bottlenecks, and deliver creative solutions for audio processing and streaming workloads
Collaborate closely with training and serving infrastructure teams to ensure seamless integration between model development and deployment
Focus on real-time and streaming audio inference

Skills

Key technologies and capabilities for this role

Audio ProcessingModel OptimizationInference ServingLatency OptimizationThroughput OptimizationStreaming WorkloadsMachine Learning SystemsReal-time Inference

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is remote with a remote-friendly environment. The Model Efficiency team is concentrated in the EST and PST time zones, which are preferred locations.

What skills are required for this Audio Engineer role?

Required skills include significant experience developing high-performance audio or machine learning inference systems, proficiency with C++ and Python, hands-on experience with deep learning models for audio, speech, or language applications, and a bias for action with a results-oriented mindset.

What is the salary for this position?

This information is not specified in the job description.

What is the company culture like at Cohere?

Cohere obsesses over what they build, works hard and moves fast to serve customers, and consists of top experts passionate about their craft who value diverse perspectives.

What makes a strong candidate for this role?

Strong candidates have significant experience in high-performance audio or ML inference systems, proficiency in C++ and Python, experience with deep learning for audio/speech, and a results-oriented mindset. Big pluses include GPU programming, real-time streaming architectures, ML framework internals, inference frameworks, and sequence modeling for audio.

Cohere

Provides NLP tools and LLMs via API

About Cohere

Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.

Toronto, CanadaHeadquarters

2019Year Founded

$914.4MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

501-1,000Employees

Risks

Competitors like Google and Microsoft may overshadow Cohere with seamless enterprise system integration.

Reliance on Nvidia chips poses risks if supply chain issues arise or strategic focus shifts.

High cost of AI data center could strain financial resources if government funding is delayed.

Differentiation

Cohere's North platform outperforms Microsoft Copilot and Google Vertex AI in enterprise functions.

Rerank 3.5 model processes queries in over 100 languages, enhancing multilingual search capabilities.

Command R7B model excels in RAG, math, and coding, outperforming competitors like Google's Gemma.

Upsides

Cohere's AI data center project positions it as a key player in Canadian AI.

North platform offers secure AI deployment for regulated industries, enhancing privacy-focused enterprise solutions.

Cohere's multilingual support breaks language barriers, expanding its global market reach.

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