Role Description The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. In this role you'll focus on query intelligence, the front door of search working on critical, impactful projects that turn what a guest types, taps, or says into a precise understanding of their intent, spanning: - Autocomplete and smart compose - Query tagging - Query expansion - Intent modeling across Stays, Experiences, and Services Query understanding is where every search begins, and it directly shapes retrieval, ranking, and ultimately the perfect match between guests and hosts. We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t.: - Data pipelines - Feature and model innovations - Serving and experimentation efficiency You'll build the models that parse free-form and natural-language multimodal queries, extract entities and location context, classify intent, and anticipate what guests want before they finish typing. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb's mission of creating a world where people can Belong Anywhere. Some past publications from the team can be found here . Qualifications - 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields - Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills - Deep understanding of Machine Learning best practices (e.g., training/serving skew minimization, A/B test, feature engineering, feature/model selection) - Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (e.g., Hive) - Industry experience building end-to-end Machine Learning models - Experience applying large language models and modern NLP (e.g., sequence tagging/NER, text generation, intent classification, or embedding/representation learning) - Familiarity with building natural-language, AI-native and agentic search experiences is a plus - Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models) Requirements - Work with large scale structured and unstructured data - Build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases, with a focus on query understanding - Develop query understanding capabilities — autocomplete and smart compose, query tagging (sequence tagging / NER), query expansion, and query/user intent modeling - Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists - Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases - Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems - Example projects include: smart compose and language generation for search, LLM-based sequence taggers, LLM-driven query/location expansion, intent classification, and user-intent sequence modeling Benefits - Base pay range: $200,000 — $235,000 USD - This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits Company Description Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

Role Description The Senior Director of Machine Learning and Artificial Intelligence will be a strategic leader responsible for driving the development and execution of our machine learning and broader artificial intelligence initiatives. This individual will lead a team of machine learning engineers, AI engineers, and researchers to build and deploy cutting-edge ML models and AI solutions that create business value and enhance our products and services. The ideal candidate will have a strong technical background in machine learning and artificial intelligence, extensive leadership experience, and a proven track record of delivering impactful enterprise-grade AI solutions. This role requires working closely with business partners while understanding and working within the constraints of the business to maintain a competitive technological edge. - Lead and mentor a team of machine learning and AI engineers, fostering a culture of innovation, continuous learning, and excellence. - Define and execute the comprehensive ML/AI strategy and roadmap, aligning it with the company's overall business objectives and long-term vision. - Oversee the end-to-end development and deployment of machine learning and artificial intelligence models, from ideation and experimentation to production and monitoring. - Collaborate with product, engineering, data platform, and other cross-functional teams to identify new opportunities for leveraging traditional ML and advanced AI. - Stay up-to-date with the latest advancements in machine learning and AI (including Generative AI, Large Language Models, and computer vision), and drive the adoption of new technologies and best practices. - Establish and champion frameworks for responsible AI, ethics, data privacy, and compliance across all model deployments. - Communicate the complex value and business impact of machine learning and AI initiatives to senior leadership, C-suite executives, and other stakeholders. - Influence product and operational roadmaps with actionable data insights and active AI deployments. - Build a strategic learning roadmap based on data observations, strategic imperatives, and developed hypotheses, while managing robust data and feature pipelines. Qualifications - Master's degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related technical field. - 10+ years of experience in machine learning and AI, with a proven track record of building, scaling, and deploying production-level models. - 5+ years of experience leading and managing high-performing machine learning or AI engineering and research teams. - Deep expertise in a variety of machine learning and AI techniques, including deep learning, natural language processing (NLP), reinforcement learning, and Generative AI/Large Language Models (LLMs). - Strong programming skills in Python and deep experience with ML/AI frameworks such as TensorFlow, PyTorch, or Hugging Face. - Excellent leadership, communication, and project management skills. - Demonstrated success in building and scaling ML/AI organizations from the ground up, including hiring, budgeting, and tool/vendor selection. - Proven ability to link ML and AI initiatives to P&L outcomes, with experience presenting comprehensive AI strategies to C-suite executives or Board members. - High-level architectural understanding of MLOps, LLMOps, cloud infrastructure (AWS/GCP/Azure), and the full model development lifecycle (MDLC). Requirements - Writing, Talking/Hearing on the phone (Continually=67-100% of workday) - Remote/Home office (Continually=67-100% of the workday) - Occasionally, less than 25% travel

Role Description Supporting training department by performing work educating, testing, and coaching new hires to a specified account using curriculum and materials specialized to a particular account. - Conduct new hire training in a classroom setting - Conduct follow-up one-on-one training when necessary - Conduct refresher training sessions - Conduct certification sessions - Attend training meetings - Attend training/quality assurance meetings - Assist training department with any other necessary functions - Conducts phone time when not facilitating a class or assisting with other training duties. Scorecard performance will be monitored. Qualifications - Healthcare Experience Preferred Company Description At Alorica, we only do one thing – make lives better, one interaction at a time. We’re a global leader in customer service and experience, serving the world’s biggest brands with tens of thousands of employees in hundreds of locations around the globe. - Largest minority-owned CX provider - Delivering digital-first, people-centered experiences for some of the world's most respected brands - Helping businesses solve their toughest customer experience challenges for over 25 years - Top Place to Work, serious about creating an environment where people show up as their genuine selves

• Design, build, and maintain scalable machine learning models that improve and automate logistics processes for our customers. • Own projects end-to-end, from problem definition and data exploration to model deployment and monitoring in production. • Collaborate closely with engineering teams to align ML work with customer needs and deliver features that drive business value. • Serve as a technical leader and mentor within the ML area, reviewing code and ensuring best practices for reproducibility, quality, and performance.