- Collaborate with team members from diverse domains: product, data, and science
- Lead efforts to deploy machine learning models into production, designing robust and scalable systems for inference, monitoring and maintenance
- Build large scale data pipelines for data processing and feature generation to ensure consistent data and features are used across model training, online and batch deployments
- Build generalized real-time and stream-processing infrastructure for machine learning applications
- Provide leadership that helps navigate the team through complicated technical challenges
- Support the growth and development of individuals and the team through interviewing, onboarding, and mentorship
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. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In California, Colorado, Connecticut, Hawaii, Nevada, New York and Washington the standard base pay range for this role is $165, $264,500.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Nevada, New York and Washington and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. - Advanced degree (M.S or Ph.D) or equivalent industry experience in Computer Science, Machine Learning or related fields
- Hands on experience in deploying machine learning models into production environments
- Experience working with large scale datasets and building ETL pipelines using Spark, Kubeflow
- 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
- Comfortable in a small team/fast-paced environment
- Excellent communication, collaboration, and organizational skills
- Experience with building applications using Generative AI or Large Language Models and related technologies
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Senior Machine Learning Engineer - Remote, United States - ZINC Zillow, Inc.
3 weeks ago
Description
About the team
At Zillow, we're on a mission to give people the power to unlock life's next chapter. We're creating innovative, connected, and equitable solutions to help people move from dreaming to transacting.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. As a Senior Machine Learning Engineer on the Agent AI team, you'll be partnering with a highly skilled group of applied scientists, software developers, and other machine learning engineers working together toward a bold and ambitious goal.
The Agent and Loan Officer AI team at Zillow is focused on making real estate agents, loan officers, and the buyers they are helping have a smoother and more delightful experience. We build end-to-end applications and AI-driven services that help agents and loan officers use their time more efficiently, giving them more insight into how to help each buyer they are interacting with, and by using machine learning tools like Large Language Models to help them communicate more effectively with home buyers.
Learn more about what we are doing at and
About the role
We are seeking a skilled Sr Machine Learning Engineer to aid in designing and delivering AI-powered experiences.
You Will Get To:
Who you are
Our ideal candidate would meet the following requirements:
Nice to have:
Get to know us
Zillow is reimagining real estate to make home a reality for more and more people.
As the most-visited real estate website in the United States, Zillow and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We're also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don't just take our word for it. Read recent reviews on and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees' Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME list.
