Zillow
6 days ago
About the team
We’re a specialized, Munich-based team focused on applied generative modeling and 3D computer vision. While we began as an independent startup, we joined Zillow in October 2024—combining the agility and ownership of a startup environment with the stability, resources, and long-term vision of an established company. This blend gives our team the freedom to innovate with the confidence that comes from being part of a big and diverse organization.Our diverse expertise combines academic excellence with real-world impact; the combination of access to internet-scale real estate data of diverse modalities, expertise in both generative and classical computer vision methods, unique access to consumers, and large-scale compute resources makes our position exceptionally unique. We’re excited to build upon this foundation—and we hope you’ll join us in pushing the boundaries of AI at Zillow!
About the role
Our team is R&D-heavy and staffed with scientists who have publications in top-tier academic journals. This gives you incredible leverage on your ML and engineering skills, as you’ll collaborate closely with these experts to bring their methods to life at an unprecedented scale of compute, data, and exposure. In this role you will be contributing to Zillow’s mission by working on the following topics:
Productionalization: Owning the transition from research code to production-ready and optimized models. Establishing CI/CD pipelines that allow scientists to deploy models in short iteration cycles. Innovating upon our existing monitoring systems that make our services reliable and give scientists insight into the performance of their models in production.
Data: Good data is key to many SOTA ML methods. You will own our team’s datasets, understand datasets from other teams, and collaborate with scientists and other teams to prepare them for model training.
Training & Experimentation: Owning projects and supporting scientists in running large-scale training and data processing by collaborating with them on specific projects, establishing generalized best practices, and sharing expertise around performance and software engineering principles, while leveraging AI coding and productivity tools.
Modeling: Staying on top of cutting-edge research (for example on platforms like Arxiv, X, and Papers With Code) and modifying its methods for our use cases in innovative ways to enable new product experiences or improve existing ones.
Dev & MLOps: Establishing best practices around code quality, testing, and ownership that allow us to move fast without compromising reliability (and sleep). Participating in our existing on-call rotation.
Leadership & Advocacy: influencing others through the solutions you build, the knowledge you share, and the ideas you propagate within your team, and across other teams which might spark new implementations, research, or products!
The role offers a lot of ownership over some of the most business-impactful topics of our ML R&D cycle but also leaves freedom for professional development into Science or Software Engineering topics by building new product experiences and collaborating with teams across topics and disciplines.
Who you are
Hard Skills
Proficiency with Python and PyTorch
Experience in large ML model optimization & compilation
Deep understanding of software engineering principles for teams of up to 10 people
Experience in computer vision and generative modeling
Expertise with multi-node training (16xH100 and up)
Familiarity with petabyte-scale data processing (e.g., WebDataset) and data engineering on vision data
Experience with AWS for large-scale machine learning tasks
A solid understanding and practical experience of containerization and high-performance parallelization on Unix systems
Track record of building and maintaining auto-scalable inference systems serving >10,000 H100 GPU hours (or >$50k of inference compute) per month
Preferable Experience
Familiarity with managed “neo-cloud” platforms (e.g., Modal, fal.ai, RunPod)
Leading CI/CD and DevOps for ML codebases with 3+ contributors
Hands-on experience with video/image generative diffusion models and vision-language model architectures
Experience creating evaluation methodologies (“evals”) for generative tasks
Experience building AI-powered applications end-to-end
Effectively managing compute budgets of >$50k per month
Previously held software engineering roles
Interests
Enthusiasm for putting significant FLOPs behind research ideas to craft groundbreaking genAI experiences for millions of users
Passion for generative models and computer vision,
Collaborating with scientists and software development engineers to establish robust software engineering practices.
A love for order and doing things in a correct and scalable way, with the wisdom and flexibility to recognize where moving fast is more important.
Staying on the cutting edge of SOTA methods in generative modeling and 3D computer vision alongside our scientists.
Education & Experience
Bachelor’s degree or equivalent industry experience in Computer Science
3+ years of experience in the aforementioned topics or exceptional progress in less time
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 youre 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 world-class benefits. 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 Glassdoor 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 100 Most Influential Companies list.
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.
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.