At a Glance
- Tasks: Develop and enhance multilingual AI models through data engineering tasks.
- Company: Cohere is a cutting-edge AI company focused on scaling intelligence for humanity.
- Benefits: Enjoy remote flexibility, weekly lunch stipends, full health benefits, and 6 weeks of vacation.
- Why this job: Make a global impact in AI while working with top experts in a diverse and inclusive environment.
- Qualifications: Bachelor's degree in Computer Science or related field; strong Python skills and problem-solving abilities required.
- Other info: Open to applicants from all backgrounds; we celebrate diversity and inclusivity.
The predicted salary is between 36000 - 60000 £ per year.
Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
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. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?
As a Member of Technical Staff in the Multilingual team, you will play a crucial role in developing and enhancing our language models to support a wide range of languages. Your primary focus will be on data engineering tasks, including data collection, cleaning, and preparation, to ensure our models perform exceptionally across various linguistic contexts. You will work closely with our research scientists, machine learning engineers, and product teams to deliver high-quality, multilingual AI solutions.
This role…
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Is perfect for someone passionate about languages and AI, with a keen eye for detail and a talent for coding.
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Offers the opportunity to contribute to cutting-edge language technology, making a global impact.
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Requires a self-starter who can work independently and deliver results efficiently.
Please Note: We have offices in London, Toronto, and New York, but we also embrace being remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00.
As a Member of Technical Staff for Multilingual you will:
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Design and implement data pipelines to process and prepare multilingual datasets.
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Collaborate with researchers to understand data requirements and model performance.
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Develop tools and scripts to automate data-related tasks and improve efficiency.
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Ensure data quality and integrity through rigorous testing and validation.
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Stay updated on the latest advancements in multilingual data processing and contribute to the team\’s knowledge base.
You may be a good fit if you have:
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A Bachelor\’s degree in Computer Science, Data Science, or a related field (Master\’s preferred), or equivalent experience.
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Experience analyzing datasets with respect to quality and suitability for training ML models.
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Strong software engineering skills, particularly in Python.
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A strong understanding of data structures, algorithms, and software design principles.
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Excellent problem-solving skills and the ability to work in a fast-paced environment.
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Excellent communication skills to collaborate effectively with cross-functional teams and present findings.
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Prior experience with multilingual data and a passion for natural language processing is a plus.
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Bonus: One or more first-author papers 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! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.
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:
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend
️ 6 weeks of vacation
Note: This post is co-authored by both Cohere humans and Cohere technology.
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Member of Technical Staff, Multilingual employer: Cohere
Contact Detail:
Cohere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff, Multilingual
✨Tip Number 1
Familiarise yourself with the latest advancements in multilingual data processing. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Connect with current or former employees on platforms like LinkedIn. They can provide insights into the company culture and the specific challenges faced by the Multilingual team, which can be invaluable for tailoring your approach.
✨Tip Number 3
Prepare to discuss your experience with data engineering tasks, particularly in relation to multilingual datasets. Be ready to share specific examples of how you've tackled similar challenges in the past, as this will demonstrate your hands-on expertise.
✨Tip Number 4
Showcase your coding skills, especially in Python, by working on relevant projects or contributing to open-source initiatives. This practical experience can set you apart and give you concrete examples to discuss during interviews.
We think you need these skills to ace Member of Technical Staff, Multilingual
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, multilingual datasets, and AI. Emphasise your software engineering skills, particularly in Python, and any projects that showcase your problem-solving abilities.
Craft a Compelling Cover Letter: In your cover letter, express your passion for languages and AI. Discuss how your background aligns with the role's requirements and mention specific experiences that demonstrate your ability to work independently and efficiently.
Showcase Relevant Projects: If you have worked on projects involving multilingual data or natural language processing, be sure to include these in your application. Provide links to any relevant code repositories or publications to strengthen your application.
Highlight Collaboration Skills: Since the role involves working closely with cross-functional teams, emphasise your communication skills and any previous collaborative experiences. Mention how you’ve successfully worked with researchers or engineers in past roles.
How to prepare for a job interview at Cohere
✨Show Your Passion for Languages and AI
Make sure to express your enthusiasm for both languages and artificial intelligence during the interview. Share any personal projects or experiences that highlight your passion, as this role is all about enhancing multilingual models.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with data engineering tasks, particularly in Python. Highlight specific examples of how you've designed data pipelines or automated data-related tasks, as these are crucial for the role.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with researchers and engineers, think of examples where you've successfully collaborated on projects. Be ready to discuss how you communicate findings and work within cross-functional teams.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in multilingual data processing and natural language processing. Being able to discuss current trends or recent papers will show your commitment to the field and your proactive approach to learning.