About the role#
As a Machine Learning Intern, you will apply machine learning and AI to engineering and product challenges. You will work alongside engineering, product, and data teams to prototype, evaluate, and improve ML-powered features. Throughout the internship, you will contribute to real projects and build practical skills with guidance from experienced engineers.
What you'll do#
- Own a scoped machine learning project from problem definition through experimentation, implementation, and communication of results.
- Contribute to applied machine learning and AI research that informs product experiences.
- Collect, analyze, and synthesize data to develop data-driven machine learning models.
- Write clean, efficient, and maintainable code, supported by appropriate documentation and testing.
- Apply relevant machine learning techniques, including natural language processing or graph-based approaches.
- Break down technical problems, propose approaches, and implement solutions.
- Deliver assigned project milestones and share progress with teammates.
What you'll need#
- Working towards a Master's or PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences, or a related field.
- Experience applying machine learning or AI concepts through research, coursework, projects, or internships.
- Experience with big data technologies like Hadoop or Spark and scalable realtime systems.
- Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow).
- Experience in research and solving analytical problems.
- Strong communication skills and the ability to work well in a team.
Location & details#
- Location: Toronto, Ontario, Canada.
- Modality: Hybrid (requires 2-3 days per week in the Toronto office).
- Schedule: Full-time, Monday-Friday.
- Term: Rolling.
- Compensation: CA$8,000 - CA$8,600 monthly.
About Pinterest
Pinterest operates a visual discovery platform for users to search, save, and shop for ideas. The company is based in San Francisco and was founded in 2010. It functions as a public company with over 13,000 employees. The platform serves more than 600 million monthly active users globally.
How to get in at Pinterest
Securing an internship at Pinterest requires speed, as the most competitive roles often fill quickly. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first. Early applicants get seen before the pile grows, which is a significant advantage in a high-volume process. You can also improve your odds by reaching out to the people actually hiring for these positions. Intern Insider surfaces the recruiters behind the company's roles so you can reach out directly to ask about the role or a referral. This direct approach materially improves response rates compared to submitting an application into a general queue.
