What are the responsibilities and job description for the Machine Learning Product Intern position at Numerator?
We’re reinventing the market research industry. Let’s reinvent it together.
At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.
We're looking for a motivated Machine Learning Product Intern at Numerator with a strong drive to explore and learn in the field of deep learning, generative AI, and agentic workflows.. The role requires a proactive mindset, the ability to manage multiple tasks, attention to detail, and familiarity with problem-solving, with a bonus for candidates who have some experience in SQL and Python.
How You’ll Spend Your Time:
At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.
We're looking for a motivated Machine Learning Product Intern at Numerator with a strong drive to explore and learn in the field of deep learning, generative AI, and agentic workflows.. The role requires a proactive mindset, the ability to manage multiple tasks, attention to detail, and familiarity with problem-solving, with a bonus for candidates who have some experience in SQL and Python.
How You’ll Spend Your Time:
- Collaborate with cross functional partners (product, finance, sales, engineering) to gather requirements and analyze data for Deep Learning projects
- Conduct research to help the team uncover trends in the market research space, understand the competitive context, and assess new markets/vertical opportunities
- Prepare data in Snowflake, build models in Pytorch, and analyze their results
- Assist agile activities such as backlog management, roadmapping, and feature refinement
- Insatiable curiosity and interest in deep learning
- Self-starter able to balance multiple projects with strong attention to detail
- Passionate and proactive problem solver
- Some SQL and Python experience
- Ability to commute to our Chicago HQ through the duration of the internship