πŸ“
New York, NY

Data Scientist, Multimodal, AI Mode

2 years experience
Technology & Digital
Software engineering
Posted:
December 29, 2025

Google

Global internet search & technology leader
84.2
Palpable Score
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA.

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Minimum qualifications:

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Preferred qualifications:

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About the job

Lens provides a new way to search for products using images, or combining image and text input to ask more complex questions. With the introduction of AI Mode (AIM), we have an opportunity to further a user’s capability to interact with the best of Search AI, using images.

As a Data Scientist, you have an eye towards higher-order user experiences but are also a technologist who embeds with engineering teams to understand and evaluate framework changes. You think about things in context, and understand how experiments interact with projects outside the immediate team. You will be an advocate for users, knows when complex investigative are warranted versus when summary statistics can solve a problem, collaborates closely with technical experts, and confidently communicates what metrics mean.

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Responsibilities

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About the company

Google

Company overview
Google is a technology company that builds consumer and enterprise products used worldwide, including Search, YouTube, Android, Chrome, Google Maps, and Gmail. Google also operates Google Cloud, offering infrastructure and platform services for businesses and public sector organisations. The company earns a large share of revenue from advertising products tied to Search and YouTube, alongside growing cloud and subscription businesses. Google is a subsidiary of Alphabet.

Locations and presence

Google has major office hubs across North America, Europe, and Asia-Pacific, alongside a wide global office footprint. Google roles are commonly tied to specific office locations, with public reporting in 2025 describing tighter rules for remote arrangements and a stronger push toward hybrid attendance for employees who live near an office.

Palpable Score

84.2
/ 100
Google offers multiple well-known entry paths for students and graduates, and Google publishes unusually detailed hiring and interviewer-calibration practices that are designed to reduce bias. The main constraint on the score is early-career stability: public reporting about restructures, buyouts, and stricter location rules makes outcomes less predictable than the brand reputation alone would suggest.
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