As a Machine Learning intern, you will work closely with Product, Engineering, and Customer Success teams to build state-of-the-art AI for B2B SaaS products. This entails leveraging advanced statistical techniques with new advancements in Generative AI (LLM-based systems) along with deep understanding of business and product.

Responsibilities:

• Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles
• Work on AI roadmap and build the core engine of our flagship CommerceIQ product
• Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems
• Work with large scale ecommerce data of the biggest brands in the world
• Apply out-of-the-box, advanced algorithms to complex problems in real-time systems
• Drive productization of techniques to be made available to a wide range of customers

Qualifications:

• Currently pursuing or recently graduated from a tier 1 school, with a degree in Computer Science, Machine Learning, or related field.
• Minimum of 2 years of prior work experience as an ML Engineer or Data Scientist in product companies. 
• Proof of work with projects in advanced AI/ML, including but not limited to statistical decision-making systems, RAG, GPT-based applications, etc. on top of text and structured datasets.
• Strong analytical and problem-solving skills, with the ability to understand complex technical concepts and translate them into product requirements.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and communicate complex ideas clearly and concisely.
• Proven ability to manage multiple projects simultaneously and prioritize tasks in a fast-paced environment.