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.

We’re looking for a machine learning engineer II in our Growth Platform engineering group. You’ll join a small and focussed team who will help us to understand our users better so we can drive engagement and growth, and to improve their user experience.

What you'll do:

Develop and implement ML models to improve user targeting and personalization for growth initiatives
Design and build scalable ML pipelines for data processing, model training, and deployment
Collaborate with cross-functional teams to identify potential ML solutions for growth opportunities
Conduct A/B tests to evaluate the performance of ML models and optimize their impact on key growth metrics
Analyze large datasets to extract insights and inform decision-making for user acquisition and retention strategies
Contribute to the development of our ML infrastructure, ensuring it can support rapid experimentation and deployment
Stay up-to-date with the latest advancements in ML and recommend new techniques to enhance our growth efforts
Participate in code reviews and collaborate with team members as needed

What we're looking for:

3+ years of experience applying ML to real-world problems, preferably in a growth or user acquisition context
Excellent communication skills and ability to work effectively in cross-functional teams
Strong problem-solving skills and ability to translate business requirements into technical solutions
Strong programming skills in Python and experience with PyTorch
Proficiency in data processing and analysis using tools like SQL, Spark, or Hadoop
Experience with recommendation systems, user modeling, or personalization algorithms
Familiarity with statistical analysis
Bachelor’s/Master’s degree in a relevant field or equivalent experience.
Nice to have:
- Experience with Natural Language Processing (NLP) to enhance user targeting and personalization strategies
- Proficiency in data visualization techniques
- Experience with cloud platforms (e.g., AWS) and containerization technologies (e.g., Docker, Kubernetes)
- Contributions to open-source ML projects or research publications

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: Dublin.

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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.

Machine Learning Engineer II

Job Description