About the Company
Pinterest is a visual discovery engine for finding ideas like recipes, home and style inspiration, and more. With billions of Pins, Pinterest is a catalog of ideas, not just images. We are a global company driven by a mission to bring everyone the inspiration to create a life they love. Our engineering teams tackle unique challenges at scale, building the systems that power visual search, recommendation algorithms, and content discovery for millions of users worldwide. Join us in shaping the future of inspiration!
Job Description
As a Machine Learning Specialist focusing on Pinterest’s core algorithms, you will be instrumental in evolving and optimizing the ranking and recommendation systems that power the discovery experience for millions of users. You will work on cutting-edge machine learning models, leveraging large-scale datasets to enhance content relevance, user engagement, and personalization across various Pinterest surfaces. This role requires a deep understanding of ML principles, strong programming skills, and a passion for building high-impact products.
Key Responsibilities
- Design, develop, and deploy advanced machine learning models for ranking, recommendations, and content understanding on the Pinterest platform.
- Analyze large-scale user behavior data to identify opportunities for algorithm improvements and new feature development.
- Conduct A/B tests and statistical analysis to evaluate the performance of new algorithms and features.
- Collaborate with product managers, engineers, and researchers to translate business requirements into technical solutions.
- Optimize existing machine learning systems for performance, scalability, and efficiency.
- Stay up-to-date with the latest advancements in machine learning and actively contribute to the ML community at Pinterest.
- Mentor junior team members and contribute to the team's best practices and knowledge sharing.
Required Skills
- Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch.
- Strong understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- Experience with large-scale data processing and analysis using tools like Spark, Hadoop, or similar distributed systems.
- Solid foundation in data structures, algorithms, and software design.
- Ability to conduct rigorous experimental design, statistical analysis, and interpret results.
- Excellent communication and collaboration skills.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- Experience building and deploying recommendation systems, search ranking algorithms, or personalization platforms.
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices.
- Knowledge of information retrieval or natural language processing (NLP) techniques.
- Prior experience working at a large-scale social media or consumer internet company.
Perks & Benefits
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- Flexible paid time off and company holidays
- 401(k) retirement plan with company match
- Parental leave and family support programs
- Professional development opportunities and education reimbursement
- Free daily meals, snacks, and beverages (on-site)
- Fitness and wellness benefits
- Employee resource groups and vibrant company culture
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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