Member of Technical Staff, Multilingual

Cohere; Ottawa; Hybrid; CAD 70,000 - 100,000; Full time

Job summary

Cohere is seeking a passionate Member of Technical Staff for its Multilingual team to enhance language models and manage data pipeline processes. The role involves collaborating with research teams to ensure model performance across various languages, emphasizing independence and efficiency in a remote-friendly environment.

Benefits

Full health and dental benefits

100% Parental Leave top-up for 6 months

6 weeks of vacation

Personal enrichment benefits

Co-working stipend

Qualifications

• Bachelor's degree in Computer Science, Data Science, or equivalent experience.
• Strong software engineering skills, particularly in Python.
• Experience analyzing datasets for ML models.

Responsibilities

• Design and implement data pipelines for multilingual datasets.
• Collaborate with researchers to fulfill data requirements.
• Ensure data quality through rigorous testing.

Skills

Software engineering

Problem-solving

Data analysis

Communication

Education

Bachelor's degree in Computer Science

Master's degree preferred

Job description

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Join to apply for the Member of Technical Staff, Multilingual role at Cohere

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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.

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…

• Is perfect for someone passionate about languages and AI, with a keen eye for detail and a talent for coding.
• 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.

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 :

• Design and implement data pipelines to process and prepare multilingual datasets.
• Collaborate with researchers to understand data requirements and model performance.
• Develop tools and scripts to automate data-related tasks and improve efficiency.
• Ensure data quality and integrity through rigorous testing and validation.
• 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

• A Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred), or equivalent experience.
• Experience analyzing datasets with respect to quality and suitability for training ML models.
• Strong software engineering skills, particularly in Python.
• A strong understanding of data structures, algorithms, and software design principles.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Excellent communication skills to collaborate effectively with cross-functional teams and present findings.
• Prior experience with multilingual data and a passion for natural language processing is a plus.
• 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

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.

Seniority level

Seniority level

Entry level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Software Development

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