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Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & 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 up to 6 months
- 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, London and Paris, as well as a co-working stipend
- 6 weeks of vacation (30 working days!)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonlarge-scale data processingML pipeline developmentNLP fundamentalssoftware engineering best practices
Soft Skills
self-starterindependent workefficient deliverymentoringcommunication
Certifications
PhD in Computer SciencePhD in Linguisticsequivalent experience
