音频推理工程师，模型效率
Audio Inference Engineer, Model Efficiency
我们是谁？
Cohere 是一家以安全为首要任务的企业人工智能公司。我们构建前沿的基础 AI 模型和端到端产品，旨在解决现实世界中的业务问题。
我们正在为正在构建 AI 系统的企业训练和部署前沿模型。我们认为我们的工作对 AI 的广泛应用至关重要，我们正在寻找希望成为其中一员的人才。
我们对所构建的产品精益求精。我们每个人都负责提升模型的能力以及为客户创造的价值。Cohere 是一个由研究人员、工程师、设计师等组成的团队，他们对各自的专业充满热情。
我们是一家总部位于多伦多的全球科技公司，在伦敦、纽约市、旧金山、蒙特利尔、巴黎、柏林和首尔设有主要办公室。加入我们吧！
职位概览：
我们的团队是一个快速发展的由有奉献精神的研究人员和工程师组成的群体。该团队的使命是构建可靠的机器学习系统，并通过创新技术优化音频推理服务效率。作为该团队的工程师，你将深入研究我们的系统，识别瓶颈，并为音频处理和流媒体工作负载提供创造性解决方案，从而推动核心音频模型服务指标（包括延迟、吞吐量和质量）的进步。
你将与训练和推理基础设施团队密切合作，确保模型开发和部署之间的无缝集成，特别关注实时和流媒体音频推理。
注意事项：我们在多伦多、蒙特利尔、旧金山、纽约、巴黎、首尔和伦敦设有办公室。我们推崇远程友好的环境，作为这一理念的一部分，我们根据兴趣、专长和时区战略性地分布团队，以促进协作和灵活性。你将会发现模型效率团队集中在 EST 和 PST 时区，这些是我们首选的办公地点。
资格要求：
- 在开发高性能音频或机器学习推理系统方面有丰富经验。
- 精通 C++ 和 Python 等编程语言。
- 在音频、语音或语言应用的深度学习模型方面有实际操作经验。
- 有行动导向，注重结果。
如果你还具备以下经验，将是一个很大的优势：
- GPU 编程、底层系统优化、模型并行化技术等方面的经验
查看英文原文
Who are we?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
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.
Qualifications:
- 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.
It is a big plus if you also have considerable experience with:
- 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
Working location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.