技术职员，代理代码
Member of Technical Staff, Agent Code
我们是谁？
Cohere 是一家以安全为先的企业人工智能公司，处于行业领先地位。我们构建前沿的基础人工智能模型和端到端产品，旨在解决现实世界中的业务问题。
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公室。加入我们吧！
职位概览：
生成代码的大型语言模型和自主代理正在改变软件的构建方式和任务的自动化方式。在 Cohere，我们正在推动这些技术在企业中的可能性边界，我们正在寻找一位高级成员加入 Agent Code 团队。你将处于研究和工程的最前沿，推动前沿代码大型语言模型和代理系统的开发，使它们能够与数字世界互动，以最少的人类监督解决复杂任务。
此职位注重实践和研究。你将深入研究代码大型语言模型和代理的最新文献，尝试前沿模型，并与一群才华横溢的工程师和研究人员合作，打造可扩展、生产就绪的解决方案。在 Cohere，我们无缝融合工程和研究——每个人根据自己的兴趣和组织需求，都参与其中。我们提供世界级的计算资源、数据和人才，确保你可以发挥最佳水平。
注意：我们在伦敦、多伦多、纽约和旧金山设有办公室，但我们也支持远程办公！该团队主要在东部时间（ET）至中欧时间（CET）时区运作，因此我们正在寻找与这些时间一致的候选人，以便有效协作。
主要职责：
- 跟踪代码大型语言模型、代理及相关领域的最新研究成果，并将新想法实施到我们的系统中。
- 设计并实现可扩展的策略来训练代码模型，并部署代理框架用于推理和采样。你将与预训练团队合作，创建监督微调轨迹并进行相关工作。
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:
Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated. At Cohere, we’re pushing the boundaries of what’s possible with these technologies for enterprises, and we’re looking for a senior member for the Agent Code team. You’ll be at the forefront of research and engineering, driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight.
This role is hands-on and research-driven. You’ll dive into the latest literature on code LLMs and agents, experiment with frontier models, and collaborate with a team of talented engineers and researchers to build scalable, production-ready solutions. At Cohere, we blend engineering and research seamlessly—everyone contributes to both, depending on their interests and organizational needs. We provide access to world-class compute resources, data, and talent to ensure you can do your best work.
Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration.
Key responsibilities:
- Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems.
- Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling. You will be collaborating with the pretraining team, create SFT trajectories and work on existing and new RL algorithms
- Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users
- Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs.
Qualifications:
- A PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).
- Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends. We are looking for people who not only have worked with code models, but have actively contributed to their development
- Hands-on experience with frontier LLMs and their applications in code generation or automation.
- Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks.
- Experience with distributed systems, cloud infrastructure, and scalable architectures.
- A proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems.
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.