技术成员, 数据分析与评估
Member of Technical Staff, Data Analysis and Evaluation
我们是谁？
Cohere 是一家以安全为首要考虑的领先企业人工智能公司。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！
职位概览：
作为数据分析师与评估团队的技术成员，你将在确保我们大型语言模型（LLMs）的质量、可靠性和性能方面发挥关键作用。你的主要职责包括设计和执行数据收集任务，评估和分析数据集质量，并分析模型的鲁棒性和泛化能力。你将与跨职能团队（包括研究人员、工程师和数据标注人员）紧密合作，进行数据驱动的决策，提高我们 AI 系统的整体效果。
该职位结合统计学、实验设计（包括人类标注者）和机器学习方面的专业知识，以确保我们的模型在高质量数据上进行训练，并在各种场景中可靠运行。你将通过确保我们的系统具备鲁棒性、可扩展性和影响力，为 Cohere 推动 AI 发展的使命做出贡献。
请注意：我们在伦敦、巴黎、多伦多、旧金山和纽约设有办公室，但我们也支持远程办公！此职位没有对您所在地的限制。
主要职责：
- 设计并监督数据收集任务，包括支持人类标注者并确保数据质量。
- 开发并应用统计方法来评估数据集的质量和可靠性。
- 分析和评估机器学习系统在不同使用场景下的泛化能力和鲁棒性。
- 与团队合作，提升数据集质量和模型性能。
- 在分布式训练基础设施上训练和微调大型语言模型（LLMs）。
- 进行实验
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:
As a Member of Technical Staff in Data Analysis and Evaluation, you will play a pivotal role in ensuring the quality, reliability, and performance of our large language models (LLMs). Your primary focus will be on designing and conducting data collection tasks, assessing and evaluating dataset quality, and analysing the robustness and generalisability of our models. You will work closely with cross-functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems.
This role combines expertise in statistics, experimental design incl. human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios. You will contribute to Cohere’s mission of advancing AI by ensuring our systems are robust, scalable, and impactful.
Please Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role.
Key Responsibilities:
- Design and oversee data collection tasks, including supporting human annotators and ensuring data quality.
- Develop and apply statistical methods to evaluate the quality and reliability of datasets.
- Analyse and assess the generalisability and robustness of ML systems across diverse use cases.
- Collaborate with teams to improve dataset quality and model performance.
- Train and fine-tune large language models (LLMs) on distributed training infrastructures.
- Conduct experiments to evaluate model performance and identify areas for improvement.
Qualifications:
- Extremely strong software engineering skills.
- Strong expertise in designing and conducting data collection tasks, including working with human annotators.
- Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.
- Experience analysing datasets with respect to their quality, biases, and suitability for training ML models.
- Hands-on experience training large language models (LLMs) on distributed training infrastructures.
- Familiarity with evaluating and improving the generalisability and robustness of ML systems.
- Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).
- Excellent communication skills to collaborate effectively with cross-functional teams and present findings.
- One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
* This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere.
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.