Machine Learning Intern

Job Title: Machine Learning Intern 

Location: Hybrid

Duration: ~3 months

About Us: Join Insyt Labs, where innovation meets impact. We're on the cutting edge of applying artificial intelligence to unlock unique insights and drive successful strategies for consumer brands. If you're looking to make a tangible impact in a fast-paced environment where new ideas are celebrated and initiative is encouraged, then you're exactly who we've been waiting for.

Role Overview: We are seeking a dynamic Machine Learning Intern to join our team. This position is ideal for a tech-savvy student or recent graduate passionate about leveraging generative AI technologies to solve complex problems in market research and brand marketing. You will work closely with both the CEO and CTO, applying your machine learning skills to solving real-world challenges in ways that have never been attempted before.

Responsibilities:

• Design and implement custom machine learning models that leverage both proprietary and open-source foundational/frontier models like Gemini, GPT-4, Llama, Mistral, etc.
• Identify and implement innovative methods of improving the output of models, using RAG, vector databases, prompt-engineering, fine-tuning and other SOTA techniques.
• Build a robust ML pipeline 
• Assist in integrating the models with other back-end tools, applications and databases to deliver an exceptional end user experience.

Qualifications:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Demonstrable knowledge and experience in machine learning, neural networks, and generative AI technologies.
• Hands-on experience with Python and common ML frameworks like TensorFlow, PyTorch, or similar.
• Creative problem-solver with a passion for technology and its application in business contexts.
• Strong communication skills and ability to work collaboratively in a team-oriented environment.
• Previous experience or coursework in statistics, mathematics, or computational models is a plus.

What You'll Gain:

• Real-world experience at the intersection of AI, market research, and marketing.
• Opportunity to work on exciting projects that influence brand strategies.
• Exposure to industry-leading technology and mentorship from experts in the field.
• A supportive and vibrant work culture that values innovation and personal growth.