Artificial intelligence
10 Google DeepMind research engineers
These ten current Google DeepMind research engineers hold research engineering roles at the company, with work spanning model training, evaluation and applied research. A reader can learn what research engineering at Google DeepMind involves from people who have done it.
Professionals to explore
01—10Abhishek Sharma
LinkedInExperience: Senior Research Engineer · Google DeepMind
Senior Research Engineer at Google DeepMind since February 2022, with the profile listing Gemini Omni pre-training, Veo3 and Veo1 pre-training, Veo2 editing controls as tech lead, and Gemini 1 post-training. Previous roles include Lead Applied Scientist (LMTS) at Salesforce (2015–2022).
Irene Teinemaa
LinkedInExperience: Senior Research Engineer · Google DeepMind
Senior Research Engineer at Google DeepMind since May 2025, based in London, after serving as Research Engineer there from 2022 to 2025. Previous roles include AI Research Engineer at Bloomberg (2021–2022), Machine Learning Scientist at Booking.com (2019–2021) and PhD Student at University of Tartu (2015–2019).
Jennifer She
LinkedInExperience: Senior Research Engineer · Google DeepMind
Senior Research Engineer at Google DeepMind since April 2024, based in Mountain View, after serving as Research Engineer there from 2020 to 2024. Previous roles include Research Student at Stanford University (2019–2020) and Machine Learning Engineering Intern at TruEra (2020).
Kshitiz Malik
LinkedInExperience: Principal Research Engineer · Google DeepMind
Principal Research Engineer at Google DeepMind since September 2025, working on training large language models (Gemini). Previous roles include Principal Software Engineer at Facebook (2018–2025), where the profile describes work on Llama pre-training and inference, and Quantitative Researcher at Citadel (2012–2018).
Luyu Wang
LinkedInExperience: Research Engineer · Google DeepMind
Research Engineer at Google DeepMind since November 2021, based in Toronto, after an earlier Research Engineer row at Google DeepMind from 2019 to 2021; the current role names Genie 2. Previous roles include Research Engineer at RBC Borealis (2016–2019) and Research and Teaching Assistant at University of Waterloo (2014–2016).
Markus Kunesch
LinkedInExperience: Staff Research Engineer · Google DeepMind
Staff Research Engineer at Google DeepMind since November 2024, working on generative AI post-training and evaluations and described as tech lead of the AI for Education Programme; earlier Senior Research Engineer (2022–2024) and Research Engineer (2020–2022) there. Previous roles include Data Scientist at Faculty (2019–2020).
Petre Petrov
LinkedInExperience: Staff Research Engineer · Google DeepMind
Staff Research Engineer at Google DeepMind since May 2025, based in Zürich, with the profile naming Gemini Post-Training; Senior Software Engineer at Google DeepMind from 2024 to 2025. Previous roles include Senior Software Engineer at Google (2022–2025) and Software Engineer at Google (2019–2022).
Susanna Ricco
LinkedInExperience: Senior Staff Research Engineer · Google DeepMind
Senior Staff Research Engineer at Google DeepMind since May 2024, at senior level in the research department. Previous roles include Senior Staff Software Engineer at Google (2022–2024), Staff Software Engineer at Google (2019–2022) and Senior Software Engineer at Google (2015–2019).
Tom R. Andersson
LinkedInExperience: Senior Research Engineer · Google DeepMind
Senior Research Engineer at Google DeepMind since November 2025, based in New York City, after serving as Research Engineer there (2023–2025) working on ML for weather; the profile describes deploying AI systems for environmental sciences. Previous roles include ML Research Scientist at British Antarctic Survey (2019–2023).
Vincent Marois
LinkedInExperience: Research Engineer, Applied · Google DeepMind
Research Engineer, Applied at Google DeepMind since January 2024, based in London. Previous roles include ML Engineer at Checkout.com (2023), where the profile mentions fraud detection, ML Engineer, Recommendations at Twitter (2021–2023) and AI Resident at IBM (2019–2020).
Choose the right perspective
Match the person's area to your question, since model training, post-training, evaluation, video generation and applied science each involve different engineering work. Consider whether the person came from elsewhere in Google or from another company, since that shapes how they compare research engineering with other roles.
Questions to take into the conversation
- 01How do research engineers and research scientists split the work on a large model project?
- 02What engineering practices keep large training runs reliable and reproducible?
- 03How do you decide when a research prototype is ready to become part of a production model?
Reaching Google DeepMind research engineers
How can I contact one of these Google DeepMind research engineers?
Pick one of the 10 people on this page and choose "Book a paid call", or describe your project to find others. You offer a fee for a 15-minute call or a written answer, Instant Expert finds the person's work email and sends the invitation, and they decide whether to accept. The list covers 1 company: Google DeepMind, based on profile data retrieved on October 8, 2026. Being listed here doesn't mean someone has agreed to take calls.
How much does it cost to reach Google DeepMind research engineers?
You choose the offer, starting at $5 per person. It includes Instant Expert's 20% fee, so an offer that pays the person $100 costs you $125. You're charged only when the person books the call or sends the answer.
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Can an AI agent ask one of these Google DeepMind research engineers a question?
Yes. An agent with a USDC wallet on Base can ask one question without an Instant Expert account. It names the person, for example by the LinkedIn URL on this page, and pays per ask over x402 (HTTP 402). The person answers in writing or by voice note, and if nobody answers within 7 days, the payment goes back to the wallet automatically. x402 docs
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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