技术职员，代理环境
Member of Technical Staff, Agentic Environments
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企业的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，我们正在寻找希望参与其中的人才。
我们对所构建的产品充满热情。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！
职位概述：
在 Cohere，我们正在推动这些技术在生产环境中的边界，我们正在寻找一位了解在大规模上使人工智能系统正常运行的实际挑战的高级工程师。该职位需要在生产环境中具备深厚的技术专业知识，并能够将研究概念与实际实现相结合。
该职位注重实践并以工程为主导。您将专注于生产系统，尝试前沿模型，并与才华横溢的工程师合作，构建可扩展、生产就绪的解决方案。我们通过精心设计实验和设计文档，在工程和科学方面追求卓越。我们无缝融合工程与研究。根据组织需求，每个人都会对两者做出贡献。我们提供世界级的计算资源、数据和人才，以确保您能发挥最佳水平。如果您：
- 对高质量的工作有强烈的热情。
- 喜欢调整和优化大型语言模型。
- 能够与不同软件工程技能水平的人合作，从初级到高级。
- 能够深入复杂的机器学习代码库，识别和解决问题，确保系统的顺利运行。
- 在快节奏、技术挑战性强的环境中茁壮成长，可以贡献您的创新想法和解决方案。
关键职责：
- 设计和编写高性能、可扩展的模型训练软件。
- 开发新工具以支持和加速研究和语言模型训练。
- 与其他工程师协调
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:
At Cohere, we're pushing the boundaries of what these technologies can achieve for production environments, and we're seeking a senior engineer who understands the practical challenges of making AI systems work at scale. This role demands deep technical expertise in production environments and the ability to bridge research concepts with real-world implementations.
This position is hands-on and engineering-driven. You'll focus on production systems, experiment with frontier models, and collaborate with talented engineers to build scalable, production ready solutions. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. We blend engineering and research seamlessly. Everyone contributes to both, depending on organizational needs. We provide access to world class compute resources, data, and talent to ensure you can do your best work. This role is perfect for you if you:
- Have a deep passion for quality work.
- Enjoy tuning and optimising large LLM models.
- Comfortable working with people with different levels of software engineering skills, from beginner to more advanced.
- Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems.
- Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions.
Key responsibilities:
- Design and write high-performing and scalable software for training models.
- Develop new tools to support and accelerate research and LLM training.
- Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.).
- Research, implement, and experiment with ideas on our cluster and data infrastructure.
- Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!
Qualifications:
- Extremely strong software engineering skills.
- Value test-driven development methods, clean code, and strive to reduce technical debts at all levels.
- Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR.
- Experience using and debugging large-scale distributed training strategies (memory/speed profiling).
- Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray).
- Experience in ML and LLM academic research.
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.