Level

Cohere

Member of Technical Staff, Multilingual

Cohere is hiring a Member of Technical Staff, Multilingual for a remote role open to applicants in United Kingdom. It pays CAD 250k-CAD 535k a year and Level rates it ; you can apply on Cohere.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Python, PyTorch and NLP.
  • Level classifies it as a senior role.
  • Level lists 115 other open roles at Cohere.

AI in this role

Research and engineer cutting-edge multilingual large language models and scalable ML pipelines.

pythonpytorch
nlpnatural-language-processingmultilingual-llmsmachine-learning-researchlarge-scale-data-processing

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:

We are looking for world-class research scientists and research engineers to build cutting-edge multilingual AI to serve the world!

At Cohere, we care deeply about building technologies that are broadly accessible and useful, regardless of language. As a Member of Technical Staff on the Multilingual team, you'll be at the forefront of advancing language models that serve the world. You’ll push the boundaries of what's possible in natural language processing. This isn't just a technical role—it's an opportunity to contribute to groundbreaking research that will define the next generation of AI.

Key Responsibilities:

  • Lead the design and implementation of scalable solutions to improve multilingual LLM performance across a wide variety of skills – if we need it to make a great multilingual model, you can build it!

  • Is perfect for someone passionate about languages and AI, with a keen eye for detail and strong technical skills.

  • Offers the opportunity to contribute to cutting-edge language technology, making a global impact.

  • Requires a self-starter who can work independently and deliver results efficiently.

  • Publish research findings and contribute to academic discourse in top-tier venues

  • Mentor junior team members and shape global best practices in multilingual AI / NLP

Qualifications:

  • PhD in Computer Science, Linguistics, or related field (or equivalent experience)

  • Proven track record in large-scale data processing and ML pipeline development

  • Expert in Python and software engineering best practice

  • Deep understanding of multilingual data challenges and NLP fundamentals

  • Passion for advancing language technology and making global impact

  • Strong publication record or demonstrated research potential

  • Excellent communicator able to bridge technical and research communities

Note:

  • 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.

  • If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply.


We value and celebrate diversity and 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 and we will work together to meet your needs.

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, 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 page.

How we rate this

Member of Technical Staff, Multilingual at Cohere rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPNatural Language ProcessingMultilingual LLMsMachine Learning ResearchLarge Scale Data ProcessingPythonPyTorch

Questions you could be asked

  1. What NLP problem have you worked on, and how did you measure whether it actually worked?
  2. Tell me about a project where natural language processing was part of your work. What did you do?
  3. Tell me about a project where multilingual llms was part of your work. What did you do?
  4. Tell me about a project where machine learning research was part of your work. What did you do?
  5. Tell me about a project where large scale data processing was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: NLP, Natural Language Processing, Multilingual LLMs, Machine Learning Research, and Large Scale Data Processing. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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