Senior Machine Learning Engineer - Transaction AI Team
Remote-USA
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 that visit Zillow websites each month.
The Agent 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 LLMs and AI-powered assistants and co-pilots.
As a Senior Machine Learning Engineer (MLE) on the Agent AI team, you’ll be partnering with a highly skilled group of applied scientists, software developers, and machine learning engineers working together toward a bold and audacious goal.
About the role
We are seeking a collaborative, customer-focused, and product-minded 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. You excel at prototyping new ML application and optimizing impact, performance, and efficiency in production.
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.
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Limited exceptions in certain states Remote position U.S. employees may live in any of the 50 United States, with limited exceptions
Benefits/PerksCompetitive base salary Comprehensive medical, dental, vision, life, and disability coverages Eligible for equity awards Equity awards Family benefits Paid Time Off Parental leave Remote position Retirement contributions
Tasks- Build ETL pipelines
- Collaborate with cross functional teams
- Deploy models into production
- Develop ML models
AI Analytics Communication Confidentiality Design Employee Experience Engineering ETL ETL pipelines Excel Generative AI Innovation Intellectual property Kubeflow Large Language Models Leadership LLMs Machine Learning ML frameworks Natural Language Processing Product Development Prototyping PySpark Python PyTorch Real Estate Research Scikit-learn Spark Statistics Transformers Word XGBoost
EducationAdvanced degree Bachelor's Bachelor's degree Computer Science Engineering Machine Learning Related Field Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9