Machine Learning Intern 2027 (Dublin)

Pinterest Engineering; Dublin; Hybrid; EUR 56,000 - 70,000; Full time

Benefits offered by this job

Relocation assistance

In-office internship in Dublin

Job summary

Pinterest is seeking a Machine Learning Intern to join our Dublin team. You will work with engineering, product and data teams to prototype, evaluate and improve ML-powered features and discovery experiences during a full-time internship from May 10, 2027 to August 27, 2027.

The role requires you to own ML projects, apply NLP/graph techniques, and contribute to scalable ML systems on real-world data. Offered in-office in Dublin with a few days in the office per week, the internship emphasizes

Qualifications

• Pursuing a Master’s or PhD in CS/ML/Statistics or related field.
• Experience with ML ranking, computer vision, NLP, content recommendations and information retrieval.
• Proficiency with big data tech (Hadoop/Spark) and scalable real-time systems.
• Strong programming skills in Java, C++, Python or experience with ML frameworks (TensorFlow, PyTorch).
• Proven research experience and ability to solve analytical problems.
• Strong communication and teamwork abilities.

Responsibilities

• Own a scoped ML project from problem definition through experimentation and results with guidance.
• Contribute to applied ML and AI research informing Pinterest product experiences.
• Analyze data to develop data-driven ML models.
• Write clean, maintainable code with documentation and tests.
• Apply ML techniques to ranking problems across discovery, ads and search.
• Deliver milestones and communicate progress to the team.

Skills

Machine Learning

Big data

Python

Java

Communication

Team collaboration

Education

Master's or PhD in CS/ML related field

Tools

Hadoop

Spark

TensorFlow

PyTorch

Job description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

As a Machine Learning Intern at Pinterest, you’ll apply machine learning and AI to product and engineering challenges. You’ll work with engineering, product and data teams to prototype, evaluate and improve ML-powered features and discovery experiences. Throughout your internship, you’ll contribute to real projects, learn how large-scale ML systems are developed 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, with guidance from your manager and team
• Contribute to applied machine learning and AI research that informs Pinterest 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, to modeling and ranking problems across discovery, ads and search
• Break down scoped technical problems, propose approaches and implement solutions with guidance from the team
• Deliver assigned project milestones, share progress and findings with teammates and seek guidance when needed
• Experience applying machine learning or AI concepts through research, coursework, projects or internships.
• Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality.

What we are looking for:

• Working towards a Master's or PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
• Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
• Experience in research and in solving analytical problems
• Strong communicator and team player with the ability to find solutions for open-ended problems

In-Office Requirement:

• This onsite internship will be based in our Dublin office requiring a few days in office. Our program will run in a full-time capacity during typical business hours between Monday-Friday.
• This role will need to be in the office for in-person collaboration 2-3 weekdays per week and therefore needs to be within a commutable distance of Dublin.
• The internship dates are May 10, 2027 - August 27, 2027

Relocation Statement:

• This position may be eligible for relocation assistance. Visit PinFlex page to learn more about our working model.
• Information regarding the culture at Pinterest and benefits available for this position can be found here.

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Location based applicants

€5.000—€6.250 EUR

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.