资深研究工程师，模型效率
Staff Research Engineer, Model Efficiency
我们是谁？
Cohere 是一家以安全为先的企业级人工智能公司。我们构建前沿的基础人工智能模型和端到端产品，旨在解决现实中的商业问题。
我们正在为正在构建人工智能系统的公司训练和部署前沿模型。我们认为我们的工作对人工智能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事处。加入我们吧！
职位概述：
大型语言模型（LLMs）持续推动人工智能系统的能力边界——但推理仍然是瓶颈。Model Efficiency 团队负责在我们的基础模型上推动 LLM 推理效率的极限。我们在模型执行栈的各个方面探索并推出突破性成果，包括：
- 模型架构和 MoE 路由优化
- 解码和推理时算法改进
- GPU 加速的软硬件协同设计
- 在不牺牲模型质量的前提下进行性能优化
请注意：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。我们支持远程办公环境，并通过这种模式，根据兴趣、专业技能和时区战略性地分布团队，以促进协作和灵活性。你将发现 Model Efficiency 团队集中在 EST 和 PST 时区，这些是我们首选的地点。
主要职责：
作为高级研究工程师，你将开发、原型设计并部署能够显著提升模型在生产环境中运行速度和效率的技术。
任职要求：
- 拥有机器学习或相关领域的博士学位
- 理解 LLM 架构，并能在资源限制下优化 LLM 推理
- 有使用一种或多种提高模型效率技术的丰富经验
- 强大的软件工程能力
- 愿意在一个快节奏、高不确定性的初创环境中工作
- 在顶级会议和期刊上发表过论文（如 ICLR、ACL、NeurIPS）
- 有指导他人的热情
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:
Large Language Models (LLMs) continue to push the boundaries of what AI systems can do — but inference is still the bottleneck. The Model Efficiency team is responsible for pushing the limits of LLM inference efficiency across our foundation models. We explore and ship breakthroughs across the model execution stack, including:
- model architecture and MoE routing optimization
- decoding and inference-time algorithm improvements
- software/hardware co-design for GPU acceleration
- performance optimization without compromising model quality
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.
Key Responsibilities:
As a Staff Research Engineer, you will develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production.
Qualifications:
- Have a PhD in Machine Learning or a related field
- Understand LLM architecture, and how to optimize LLM inference given resource constraints
- Have significant experience with one or more techniques that enhance model efficiency
- Strong software engineering skills
- An appetite to work in a fast-paced high-ambiguity start-up environment
- Publications at top-tier conferences and venues (ICLR, ACL, NeurIPS)
- Passion to mentor others
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.