Responsibilities
- Work on one of the following ML or LLM topics: user prediction, recommendation, agents, and chatbots
- Collaborate closely with senior ML scientists to define ML problems, algorithm development, conduct evaluations, monitoring, and continuous optimization.
- Stay up to date with the latest research and proactively propose innovative applications
Requirements
- Bachelor’s degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields (Master’s degree preferred)
- 2+ years of experience in ML or LLM
- Proficient in Python
- Proficient in one of the below Core ML and deep learning concepts: feature engineering, recommendation, regression, classification, clustering, etc.
- LLM applications development techniques: RAG, agent, chatbots
- Able to evaluate models with systematic and quantitative analysis
- Strong data intuition and familiarity with basic statistical concepts
Nice to Have
- Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
- Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity
Team
Structure: Enterprise Solution Science Team
Additional Information
- This internship opportunity entails a minimum duration of 6 months, beginning from the present date.
- We are currently looking for individuals who can commit to an internship schedule of 2~4 days (16~32 hours) per week.
