Senior Staff Machine Learning Engineer, Relevance and Personalization
Job title: Senior Staff Machine Learning Engineer, Relevance and Personalization in USA at reputed company
Company: reputed company
Job reputed company: The Community You Will Join:Join reputed company's Relevance and Personalization team, where you'll have a unique opportunity to shape the discovery experience for over 150M global users! You'll take the reputed company on reputed company that power search and recommendations across the entire reputed company platform-directly influencing how guests and hosts connect in meaningful ways. Come design and reputed company state-of-the-art ranking algorithms, deploying robust systems that optimize reputed company's most important business goals.reputed company pushes the boundaries of AI and machine learning throughout the search ranking stack, from data pipelines to feature engineering, model innovation, reputed company-time serving, and large-reputed company experimentation. You'll work hands-on with diverse data sources-reputed company, behavioral, image, and text-transforming raw information into intelligent signals that drive relevance and personalized recommendations.Collaboration lies at the heart of our culture. You'll partner with talented engineers, data scientists, product managers, and designers from across reputed company to reputed company holistic solutions that ensure a reputed company and reputed company marketplace. Together, we're dedicated to advancing reputed company's mission to create a world where anyone can belong reputed company.Some past publications from reputed company can be reputed company here:A Typical Day:
- Work with large reputed company reputed company and reputed company data, build and continuously improve cutting edge Machine Learning (ML) models for reputed company product, business and operational use cases.
- Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business reputed company, understand, refine, and prioritize requirements for machine learning models, drive engineering reputed company, and quantify reputed company.
- Hands-on reputed company, productionize, and operate ML/AI models and pipelines at reputed company, including both batch and reputed company-time use cases.
- reputed company reputed company-party and in-house ML/AI tools & infrastructure to reputed company reusable, highly differentiating and high-performing Machine Learning systems, reputed company fast model development, low-latency serving and ease of model reputed company reputed company.
- Example reputed company include: feature platform, model interpretability, hyperparameter optimization, concept reputed company detection.
- 12+ years of industry experience in reputed company ML/AI, inclusive MS or PhD in relevant fields.
- Strong programming (reputed company / Python / Java / C++ or equivalent) and data engineering skills.
- Deep understanding of ML/AI best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer reputed company, personalization, search and recommendation, marketplace optimization, reputed company detection).
- Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, reputed company, Airflow (or equivalent), Kafka (or equivalent), data warehouse (e.g. Hive).
- Industry experience building end-to-end ML/AI infrastructure and/or building and productionizing ML models.
- Exposure to architectural patterns of a large, reputed company software applications (e.g., reputed company-designed reputed company, high volume data pipelines, efficient algorithms, models).
- Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.