Key skills
Generative AILarge Language ModelsMachine LearningNatural Language ProcessingPyTorchAWSSoftware design patternsAlgorithmic solutionsCollaboration skillsCommunication skillsOrganizational skillsAIMLLLMscikit-learnXGBoostKubeflowETLAnalyticsSparkPrototypingCommunicationCollaboration
About this role
Zillow is on a mission to give people the power to unlock life’s next chapter by creating innovative solutions. The Senior Machine Learning Engineer will collaborate with applied scientists and software developers to build AI-driven applications and services that enhance the experience of real estate agents and buyers.
Responsibilities:
- Apply a growth-mindset and first principles to ambiguous customer problems to rapidly iterate on novel solutions and ways of working
- Collaborate closely with applied scientists, engineering, design and research to understand, scope, design, prototype, implement and iterate on internal and external facing systems supporting and implementing next generation AI applications
- Lead efforts to deploy machine learning applications into production
- Cultivate connections with other teams for critical dependencies and infrastructure
- Contribute to carrying and growing our team culture of rapid innovation and creative frugality
Requirements:
- Experience with building applications using Generative AI or Large Language Models and related technologies
- Hands on experience in deploying LLM and ML applications into production environments
- Strong understanding of Machine Learning and Natural Language Processing fundamentals
- Experience with Machine Learning tools and Frameworks (e.g. PyTorch, Transformers, XGBoost, scikit-learn, etc.)
- Hands-on experience with cloud computing platforms such as AWS
- Strong understanding of software design patterns, principles, architecture, and operations
- Experience prototyping, developing, and implementing algorithmic solutions and new technologies with diverse analytics and data
- Comfortable in a small team/fast-paced environment
- Excellent communication, collaboration, and organizational skills
- Advanced degree (M.S or Ph.D) or equivalent industry experience in Computer Science, Machine Learning or related fields
- Experience building real-time voice AI based applications
- Experience with regulated, private or sensitive data, bandit algorithms, or reinforcement learning
- Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow
- Experience collaborating with science, engineering, design, research and product partners in a team with a startup culture