#P748120
ries of AI at Zillow!
About the role
We are seeking remote PhD interns for Summer 2026!
As a PhD Research Intern, you will help train and adapt large models that better understand homes and users, advancing representation learning, multimodal modeling, computer vision and graphics for real‑world problems at Zillow scale. You'll tailor and evaluate computer vision and generative models to our domain, build workflows that plan and act across multi‑step tasks, and define success via domain‑specific metrics. You'll move quickly from prototype to impact, running rigorous offline evaluations and online experiments, collaborating with applied scientists, engineers, and product partners, and contributing to platform capabilities that power experiences like Zillow Copilot. Along the way you'll author clear research docs, share results internally, and have opportunities to publish and present your work.
Responsibilities include:
Research and develop methods for adapting 2D and 3D foundation models with Zillow's domain-specific data
Build and evaluate generative models and 3D computer vision
Prototype generative and ML workflows; define metrics and run rigorous evaluations
Partner across science, engineering, product, and design; share results via docs, presentations, and publications
Key Details
12-week paid internship during Summer 2026
Based in Munich, Germany with flexible work arrangements (remote, hybrid, or in-person)
Direct supervision from experienced Applied Scientists with publications in top-tier conferences (CVPR, ICCV, NeurIPS, 3DV etc.)
Access to Zillow's unique large-scale indoor datasets and compute resources
Opportunity to contribute to research projects that could lead to publications
Integration into Zillow's vibrant research community through:
Biweekly Applied Science Guild meetings
Weekly demo sessions
Research presentations and collaborations
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.
Who you are
Currently enrolled in a PhD program in Computer Science, Machine Learning, Artificial Intelligence or a related field with a strong research track record
Experience in one or more of the following:
Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
Clear communication and a collaborative mindset; motivated to publish at top venues
Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.
Get to know us
At Zillow, we're reimagining how people move-through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you'll be part of a company that's reshaping an industry and helping more people make home a reality.
Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.
No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry-and your career-forward, together.
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. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.