Manager II leading a team of engineers developing machine learning systems for content recommendations. Driving technical direction and stakeholder communication to enhance user engagement at Pinterest.
Responsibilities
Lead, mentor and grow a team of experienced backend and machine learning engineers in developing advanced signals, integrations and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
Provide thought leadership in content distribution and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. Act as the glue between content acquisition and recommendation pods becoming the expert in both these areas.
Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
Help the team solve difficult technical challenges such as:
How to build new ML systems, candidate generators, features and models that can handle millions of new Pins every day with low latency to effectively distribute fresh content and be re-usable across recommendation surfaces?
How to determine what fresh content our Pinners will be inspired by and predict their future engagement metrics?
How to identify and remove biases from existing recommendation systems?
How to experiment with and measure the impact of content acquisition changes on the user experience?
How to enhance the titles of new content to increase their engagement?
Requirements
7+ years of industry experience, including 2+ years of management experience.
Experience with developing and deploying large-scale machine learning systems in search and recommendations.
Experience with big data technologies (e.g. Hadoop, Spark) and scalable realtime systems that process stream data (e.g Kafka, Flink).
Experience applying NLP models and LLMs to content understanding and recommendation systems.
Experience building and leading high performing teams within a visible business vertical .
Experience working with numerous cross functional partners to drive a collective initiative.
Bachelors degree in a technical field, or equivalent work experience.
Benefits
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Join Visium as a Junior Machine Learning Engineer internship, focusing on applied research projects using Machine Learning to transform business operations in Switzerland.
AI Engineer at Trunk Tools revolutionizing construction with intelligent automation and production - ready AI agents. Leading design and implementation of multi - agent systems for document and data processing.
Audio Machine Learning Co - op developing real - time AI - powered audio processing algorithms for Bose. Collaborating with experts to prototype and implement novel ML algorithms for various applications.
AI Center of Excellence Engineer at F5 supporting applied AI research, prototyping, and engineering initiatives. Evaluating AI techniques and creating integration recommendations for production systems.
Senior ML Engineer at Centra developing forecasting and AI - driven decision support for fashion brands. Collaborating to enhance ecommerce through machine learning and insights.
Staff ML/AI Engineer for healthcare communication solutions at Accurx. Leading AI/ML initiatives to enhance patient communication and healthcare efficiency.
Senior Machine Learning Engineer developing ML systems for healthcare communication technology at Accurx. Join our mission - driven team to solve real - world problems in healthcare.
Senior Developer at Valorem Reply delivering ML/AI applications on AWS. Collaborating with product and engineering teams to provide high - quality tech solutions.
Senior Developer building and evolving ML/AI applications on AWS for Valorem Reply. Collaborating closely with product, architecture, and engineering teams for quality solutions.
Senior Software Engineer designing and operating ML infrastructure for Plaid's AI initiatives. Collaborating with product teams to accelerate AI - powered financial experiences and ensure scalable ML systems.