高级技术职员，网页数据
Senior Member of Technical Staff, Web Data
我们是谁？
Cohere 是一家以安全为首要考虑的领先企业级 AI 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，我们正在寻找希望参与其中的人才。
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带来的价值。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：
作为专注于预训练网络数据的高级技术员工，你将在开发支撑 Cohere 高级语言模型的大规模网络数据管道中发挥关键作用。在此职位中，你将与大规模网络语料库密切合作，将原始、嘈杂的互联网数据转化为高质量的预训练数据。你将负责数据管道的关键组件，包括提取、解析、去重和过滤。你还将分析网络数据的组成和质量，研究其对下游模型性能的影响，并与更广泛的数据和评估团队紧密合作，迭代训练语料库。
你的工作对于 Cohere 实现高效可靠的语言理解和生成能力至关重要，推动自然语言处理领域的创新。如果你热衷于将数据转化为 AI 系统的基础，这个职位将为你提供一个独特的机会，产生深远的影响。
请注意：我们在伦敦、巴黎、多伦多、旧金山和纽约设有办公室，同时也支持远程办公！此职位没有地理位置限制。（EST/EU）
主要职责：
- 维护大规模的网络语料处理管道。
- 开发过滤和质量评分系统，以识别高价值的网络文档。
- 分析跨领域、语言和时间周期的网络数据组成。
- 开发和维护高性能的去重管道。
- 与跨职能团队合作，包括研究人员和工程师。
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:
As a Senior Member of Technical Staff specializing in web data for pre-training, you will play a pivotal role in developing the large scale web data pipeline that underpins Cohere’s advanced language models. In this role, you will work extensively with large-scale web corpora, transforming raw, noisy internet data into high-quality training data for pretraining. You will own key components of the data pipeline, including extraction, parsing, deduplication, and filtering. You will also analyze the composition and quality of web data, study its impact on downstream model performance, and collaborate closely with the broader data and evaluation teams to iterate on the training corpus.
Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.
Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. (EST/EU)
Key Responsibilities:
- Maintain large-scale pipelines for processing web corpora.
- Work on filtering and quality-scoring systems to identify high-value web documents.
- Analyze web data composition across domains, languages and time periods.
- Develop and maintain highly-performant deduplication pipelines.
- Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.
Qualifications:
- Strong software engineering skills, with proficiency in Python and experience building data pipelines.
- Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.
- Experience working with large-scale web datasets.
- Knowledge of data quality assessment techniques and experimentation with data mixtures.
- A passion for bridging research and engineering to solve complex data-related challenges in AI model training.
Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
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.