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AI Applied Scientist - PhD Intern, 3D Computer Vision

8 Oct 2025
Germany
Verified by Turrior

Content + Source + Freshness • 14 Dec 2025 • 95% confidence

86 / 100

Offer value

High offering level due to significant growth opportunities, competitive salary potential, and the chance to work on innovative AI projects in a rapidly growing sector.

  • Competitive internship compensation during the 12-week program.
  • Collaborate with experienced researchers and potential for publications.
  • Flexibility in working arrangements (remote/hybrid).
  • Requires active engagement in innovative research projects.
Pros
  • Competitive salary with clear pathways for career advancement.
  • Work on transformative AI projects impacting real-world applications.
  • Strong collaborative team spirit focused on innovation.
Cons
  • Intensive competition to join a prestigious team.
  • High expectations for project delivery and productivity.
  • Full-time commitment may be challenging for some candidates.

Who it's for

Mid / Experienced • Flexible (part-time remote possible)

Good fit
  • PhD candidates in computer vision or AI fields.
  • Research-oriented individuals eager to innovate.
  • Collaborative candidates interested in real-world application.
Not recommended for
  • Those seeking a conventional 9-5 internship experience.
  • People who do not wish to interact with cross-functional teams.
  • Candidates uninterested in research publication opportunities.

Motivation fit

Eagerness to contribute to disruptive AI technologies.Interest in collaborative problem-solving across disciplines.Drive to impact user-focused AI solutions.

Key skills

3D computer vision expertiseReinforcement learning knowledgeStrong coding abilities in relevant frameworks
Score: 86/100 AI verified analysis

About the job

About the team

Zillow AI’s Foundational IQ group builds the core intelligence that powers search, discovery, and conversational experiences like Zillow Copilot. We combine text, imagery, geospatial and time‑series signals to learn rich representations of homes, neighborhoods, and shopper intent, then use them to improve user experiences on Zillow. Our team operates as applied researchers who ship: we prototype quickly, evaluate rigorously (offline metrics and online experiments), and partner closely with product and engineering to bring models to production. We care deeply about helpfulness, safety, and fairness, including domain‑specific, fair‑housing‑aware evaluation, and we invest in modern ML platforms, data governance, and observability to run at national scale. The result is AI that reduces friction, increases confidence, and makes complex home decisions feel simpler for millions of people.

As part of Zillow's broader AI organization of hundreds of researchers and engineers, our Munich-based team of 10 combines academic excellence with real-world impact. We have unique access to one of the world's largest collections of high-quality indoor real estate imagery, allowing us to tackle challenging computer vision problems at an unprecedented scale.

About the role

We are seeking remote PhD interns for Summer 2026!


As a PhD Research Intern on the Foundational IQ team, you will help train and adapt large models that better understand homes and users, advancing representation learning, multimodal modeling, user modeling, and reinforcement/sequential decision‑making for real‑world problems at Zillow scale. You’ll tailor and evaluate LLMs and multimodal foundation models to our domain, build agentic workflows that plan and act across multi‑step tasks, and define success via domain‑specific metrics emphasizing helpfulness, safety, and fairness. 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 LLMs and foundation models with Zillow’s domain-specific data

  • Build and evaluate multimodal models that combine text, images, geospatial and tabular signals for home and user understanding.

  • Explore reinforcement learning and sequential decision-making for long‑horizon, user‑centric outcomes

  • Prototype agentic workflows; define success metrics and run rigorous offline/online 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 computer 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:

    • LLMs: instruction tuning/fine‑tuning, prompting, and evaluation/measurement

    • Multimodal learning (image + text; familiarity with audio or geospatial a plus)

    • Representation learning with limited labels (self/semi/weakly-supervised)

    • User modeling for personalization systems

    • Reinforcement learning or sequential decision‑making

    • Evaluating generative/agentic systems; privacy‑aware and responsible AI practices (e.g., fair‑housing considerations) are a plus

  • 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

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 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.

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