Research Internship
Conducts and publishes cutting-edge machine learning research, building and training large language models and contributing to applied AI product initiatives. Applicants should be pursuing a PhD or demonstrate exceptional equivalent experience, with expertise in ML systems, Transformers, programming, and modern ML frameworks.
About the job
Responsibilities
- Conduct cutting-edge machine learning research, building and training large language models.
- Focus on research projects expanding the frontier of language modeling, including evaluation, multimodal models, and optimization.
- Disseminate research results through publications, datasets, and code.
- Contribute to research initiatives with practical applications in product development.
Requirements
- Currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline; exceptional non-PhD candidates may also be considered.
- Available for a full-time internship lasting 4–6 months.
- Eligible for work authorization in the country of employment throughout the internship.
- Experience with large-scale distributed training strategies, data annotation and evaluation pipelines, or state-of-the-art ML models.
- Familiarity with autoregressive sequence models such as Transformers.
- Strong communication and problem-solving skills.
- Knowledge of Python, C, C++, Lua, or related programming languages.
- Knowledge of JAX, PyTorch, and TensorFlow.
- Experience building systems using machine learning and deep learning techniques.
- Passion for applied NLP models and products.
Preferred Qualifications
- Publications in top-tier venues across machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
- Ability to tackle analytical problems using quantitative methodologies.
- Proficiency handling and analyzing complex, high-dimensional data from various sources.
- Experience applying theoretical and empirical research to real-world problem-solving.
Benefits
- Weekly lunch stipend of $75/£75 or equivalent in local currency.
- Full health and dental benefits, including a separate mental health budget.
- RRSP matching, 401(k), or pension scheme.
- Parental leave top-up for up to 6 months for either parent.
- Annual enrichment benefits for arts and culture, fitness and wellness, quality time, and workspace improvements.
- Education and learning stipend for conferences, courses, and coaching.
- Six weeks of paid vacation.
- Travel budget for remote employees visiting other offices and an annual company offsite.
- Co-working benefit for employees not near an office.
- $500 home office stipend.
Skills
Machine Learning, Natural Language Processing, Artificial Intelligence, LLMs, Transformers, Python, C++, JAX, PyTorch, TensorFlow, Distributed Training, Deep Learning, Computer Vision, Data Evaluation
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