AI Scientist Intern - (Internship, Masters or Phd)

Role Summary

• You will be working with the fine tuning team on making state-of-the-art generative models.
• You will run autonomous work streams under the supervision of experienced scientists.
• The role is based in our Palo Alto or Montreal office.
• Internship duration: 6 months. We will only consider candidates looking for end of studies internships (Master or Phd)

What you will do

• Explore state-of-the-art LLM algorithms for fine tuning LLMs, with the supervision of top level scientists.
• Assist in the design and implementation of machine learning models and algorithms.
• Conduct research on the latest advancements in natural language processing and LLMs.
• Contribute to the development and optimization of our LLM systems.
• Collaborate with cross-functional teams to integrate LLM technologies into various applications.
• Perform data analysis and visualization to support research and development efforts.
• Document research findings and contribute to technical reports and publications.
• Participate in team meetings and brainstorming sessions to share ideas and insights

About you

• Currently doing a Master or PhD at a tier 1 engineering schools / Universities.
• High scientific understanding of the field of generative AI.
• Broad knowledge of the field of AI, and specific knowledge or interest in fine-tuning and using language models for applications.
• Strong programming skills in Python, with experience in libraries such as TensorFlow, PyTorch, or similar.
• Familiarity with natural language processing techniques and machine learning algorithms.
• Design complex software and make them usable in production.
• Navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage.
• Previous experience with LLMs or related technologies.
• Knowledge of deep learning frameworks and techniques..Experience with version control systems (e.g., Git) and linux shell environment.

Now, it would be ideal if you

• Have experience in fine tuning LLMs.
• Have used complex HPC infrastructure with full autonomy.

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page