Machine Learning Engineer

Machine Learning Engineer – Zillow Join to apply for the Machine Learning Engineer role at Zillow. Get AI-powered advice on this job and more exclusive features. About The Team At Zillow, our mission is to give people the power to unlock life’s next chapter. Zillow’s AI Org plays an important part in delivering unique AI-powered experiences for the hundreds of millions of customers who visit Zillow websites each month. The Connections AI team iterates quickly and solves problems at the forefront of AI product development. This role requires an entrepreneurial approach and a driven curiosity about the constantly evolving field of ML Modeling, LLMs and AI-powered assistants. As a Machine Learning Engineer (MLE) on the Connections AI team, you’ll be a part of a skilled group of applied scientists, software developers and other machine learning engineers working together to connect buyers with the right professionals to help realize their home‑buying dreams. About The Role We are seeking a collaborative, customer‑focused, and product‑mindful engineer and scientist with deep experience with applied machine learning. You are a roll‑up‑the‑sleeves and get‑it‑done engineer with a deep understanding of, and are constantly learning about, new techniques in modeling, ML frameworks, and ML infra. 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. Shepherd the deployment of machine learning applications into production with an eye toward reliability. Cultivate connections with other teams for critical dependencies and infrastructure. Contribute to carrying and growing our team culture of rapid innovation and creative frugality. This role has been categorized as a Remote position. Remote employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions. Compensation: Base salary ranges – U.S. (California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington, Washington DC): $145,500–$232,500 annually; Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, Vermont: $138,300–$220,900 annually. Equity awards based on experience, performance and location. Employees will not be paid below the salary threshold for exempt employees in the state where they reside. Who you are Proficiency with a high‑level programming language (we most commonly use Python). Practical knowledge of statistics (e.g. causal inference, Frequentist or Bayesian inference). Communication skills to influence, collaborate with, and educate others (whom you may need to educate on methods and requirements in experimentation and statistics). Experience prototyping, developing, and implementing algorithmic solutions and new technologies with diverse analytics and data. Hands‑on experience deploying machine learning models into realtime production environments. Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow, and DataBricks. 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.). Tenacity to embrace and tackle challenging problems. Practiced technical ability and passion for both owning implementation and contributing technical/thought leadership for a team of world‑class scientists engineers. Bachelor's degree or equivalent experience in Computer Science, or a related field. Bonus Qualifications Experience with generative AI or large language models and related technologies (knowledge retrieval solutions, for example). Experience with regulated, private or sensitive data, document understanding, user interest modeling, or reinforcement learning. Experience collaborating with science, engineering, design, research and product partners in a team with a startup culture. Advanced degree (M.S. or Ph. D.) or equivalent experience in Computer Science or Engineering, Machine Learning, or related field. Benefits In addition to a competitive base salary and equity, Zillow offers a comprehensive benefits package, including health, vision and dental insurance, generous paid time off, remote‑friendly work structure, and a culture that fosters inclusiveness and innovation. Equal Opportunity Employer Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. #J-18808-Ljbffr