应用机器学习工程师
Applied Machine Learning Engineer
我们是谁？
Cohere 是一家以安全为首要任务的企业人工智能公司。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。
我们对所构建的东西非常执着。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？
作为我们应用机器学习团队的机器学习工程师，你将直接与客户合作，快速了解他们最大的问题，并使用大型语言模型设计和实现解决方案。
你将运用你的解决问题能力、创造力和技术技能，弥合企业人工智能采用的最后一步差距。你将能够像早期创业公司的首席技术官/首席执行官一样交付产品，并颠覆一些最重要的行业和机构！
作为机器学习工程师（应用机器学习），你将：
- 规划并执行从构思到生产的大型项目。
- 在工程、产品和其他学科之间建立跨职能的共识。
- 指导分布式工程师团队在专业领域内的知识。
- 识别现有模型中的机会和差距，并制定工作重点。
- 与产品团队紧密合作，开发解决方案。
- 与我们的合作伙伴组织进行协作。
- 协助我们的法务团队准备开发的知识产权专利。
- 加入我们的重要时刻，塑造我们构建的内容，并承担多种角色！
如果你具备以下条件，可能会适合这个职位：
- 在应用研究和生产中领导机器学习团队的经验。
- 制定并执行技术方向以构建新产品或优化现有产品的经验。
- 在矩阵式组织中跨学科工作的经验。
- 精通 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和推理的经验
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!
Why this role?
As a Machine Learning Engineer on our Applied ML team, you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models.
You’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!
As a Machine Learning Engineer (Applied ML), you will:
- Plan and execute large-group projects that carry through from ideation to production.
- Bring cross-functional alignment across engineering, product and other disciplines.
- Mentor a distributed team of engineers in subject matter expertise.
- Identify opportunities and gaps in existing models and strategize what to work on.
- Work closely with product teams to develop solutions.
- Engage in collaborations with our partner organizations.
- Assist our legal teams with preparation of patents on developed IP.
- Join us at a pivotal moment, shape what we build and wear multiple hats!
You may be a good fit if you have:
- Prior experience in leading ML teams in applied research and production.
- Prior experience in setting as well as executing technical direction to build new or to refine existing products.
- Prior experience in working cross-discipline in matrixed organizations.
- Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.
- Experience using large-scale distributed training and inference.
- Strong mentorship, communication, and problem-solving skills.
- A demonstrated passion for applied ML models and products.
- Bonus: experience working for B2B companies in the ML space.
* 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 have a wide variety of backgrounds at Cohere.
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.