远程工作雷达

机器学习实习生/合作项目 (2027年冬季)

Machine Learning Intern/Co-op (Winter 2027)

AI未标注地域
公司Cohere
薪资未公开
工作地点Canada / Europe / United States / United Kingdom
地域资格未标注地域
时区要求无特别要求
用工类型Intern
发布时间2026-05-13
数据来源Ashby
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我们是谁?

Cohere 是一家以安全为首要任务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,旨在解决现实世界中的商业问题。

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。

我们专注于我们所构建的一切。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!

为什么选择这个职位?

将最先进的模型部署到生产环境中。

设计和实现创新的研究想法。

构建优雅的训练/部署流程。

在关键时刻加入我们,塑造我们要构建的内容,并作为实习生承担多种角色!

我们的招聘流程将在接下来的几周内开始,我们将仔细审查申请并评估实习候选人的潜力。如果我们发现您的资质与我们的要求相匹配,我们将与您联系,进一步讨论该机会,并推进您的申请进入下一阶段。

请注意:要符合此职位的资格,您应是在读的高等教育学生,能够参加为期 3-6 个月的全职实习、合作教育或研究学期。

作为机器学习实习生,您将:

- 设计、训练并改进最前沿的模型。
- 帮助我们开发更安全、更好、更快地训练和提供模型的新技术。
- 在大规模数据集上训练超大规模模型。
- 探索针对流数据的持续和主动学习策略。
- 向经验丰富的高级机器学习技术人员学习。
- 与产品团队紧密合作,开发解决方案。

您可能适合这个职位,如果您具备:

- 熟练掌握 Python 和相关机器学习框架,如 Tensorflow、TF-Serving、JAX 和 XLA/MLIR。
- 使用大规模分布式训练策略的经验。
- 对自回归序列模型(如 Transformers)有了解。
- 强大的沟通和解决问题的能力。
- 对应用型自然语言处理模型和产品有明确的热情。

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!

Why this role?

Ship state of the art models to production.

Design and implement novel research ideas.

Build elegant training/deployment pipelines.

Join us at a pivotal moment, shape what we build and wear multiple hats as an intern!

Our recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and to advance your application to the next stage

Please Note: To be eligible for this position you should be a student currently enrolled in a post-secondary program, available for a full-time 3-6 month internship, co-op, or research work term.

As a Machine Learning Intern, you will:

- Design, train and improve upon cutting-edge models.

- Help us develop new techniques to train and serve models safer, better, and faster.

- Train extremely large-scale models on massive datasets.

- Explore continual and active learning strategies for streaming data.

- Learn from experienced senior machine learning technical staff.

- Work closely with product teams to develop solutions.

You may be a good fit if you have:

- Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.

- Experience using large-scale distributed training strategies.

- Familiarity with autoregressive sequence models, such as Transformers.

- Strong communication and problem-solving skills.

- A demonstrated passion for applied NLP models and products.

- Bonus: experience writing kernels for GPUs using CUDA.

- Bonus: experience training on TPUs.

- Bonus: papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).

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.

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