Staff Machine Learning Engineer, Content Quality Signals

📋 Description

• • Join Pinterest as a Staff Machine Learning Engineer, focusing on Content Quality Signals, and play a pivotal role in shaping how millions of users discover and interact with content on our platform.
• • You will be instrumental in building and deploying sophisticated machine learning models that interpret the vast and diverse content on Pinterest, including images, text, and video.
• • Your work will directly contribute to generating high-quality semantic signals, such as embeddings and classifications, which are the backbone of core product experiences like Homefeed relevance, Search accuracy, Related Pins suggestions, and Ads targeting.
• • Beyond user-facing features, these signals are critical for maintaining platform integrity, powering essential use cases like spam detection and the identification of low-quality content.
• • This role offers a unique opportunity to engage with the entire machine learning lifecycle, from conceptualization and data strategy to production deployment and ongoing monitoring.
• • You will lead the modeling strategy for content understanding, encompassing vision, NLP, and multimodal approaches, making key decisions on architecture selection, training methodologies, and evaluation frameworks.
• • Design, develop, and ship production-ready ML models that generate crucial content signals, ensuring they meet the demands of Pinterest's scale and performance requirements.
• • Take ownership of the end-to-end ML pipeline, which includes defining data and labeling strategies (leveraging both human annotations and weak supervision techniques), building robust training pipelines, implementing rigorous offline evaluation processes, designing and executing online experiments, managing model deployment, and establishing comprehensive monitoring and retraining protocols.
• • Collaborate closely with infrastructure and platform teams to guarantee that training and serving systems are scalable, reliable, and observable, paying close attention to latency, cost-efficiency, and rollout safety.
• • Act as a key liaison with signal-consuming teams, including those responsible for ranking, retrieval, integrity, and ads, to clearly define signal contracts, understand adoption patterns, and establish metrics for success.
• • Provide significant technical leadership within the team and across the organization, contributing through detailed design reviews, mentoring junior engineers, and consistently elevating the quality bar for both modeling and ML engineering practices.
• • Drive innovation in content understanding by exploring and implementing state-of-the-art techniques in computer vision (e.g., classification, object detection, representation learning), natural language processing (e.g., text classification, topic modeling, entity recognition), and multimodal learning (e.g., transformer-based representations for joint understanding of different modalities).
• • Contribute to the development of efficient and effective weak supervision methods to scale data labeling efforts, reducing reliance on manual annotation while maintaining high signal quality.
• • Ensure that the ML models deployed are robust, fair, and performant, actively working to mitigate biases and address potential ethical considerations in content understanding.
• • Champion best practices in ML operations (MLOps), including CI/CD for ML, automated testing, model versioning, and continuous monitoring to ensure the long-term health and effectiveness of deployed models.
• • Translate complex business problems into well-defined ML tasks, developing innovative solutions that deliver measurable impact on user experience and business objectives.
• • Stay abreast of the latest research and industry trends in machine learning, particularly in areas relevant to content understanding and large-scale systems, and advocate for the adoption of promising new technologies and methodologies.
• • Foster a collaborative and inclusive team environment, encouraging knowledge sharing and continuous learning among team members.
• • You will be a key contributor to Pinterest's mission of bringing everyone the inspiration to create a life they love, by ensuring the content users see is relevant, high-quality, and safe.
• • This role is ideal for a senior ML practitioner who thrives in a dynamic environment, enjoys tackling challenging, ambiguous problems, and is passionate about building impactful ML systems at scale.