Artificial intelligence
10 Apple machine learning engineers
These ten current Apple machine learning engineers hold machine learning engineer roles at Apple. A reader can learn what machine learning engineer work at Apple involves from people who have done it.
Professionals to explore
01—10Adwaita Janardhan Jadhav
LinkedInExperience: Senior Machine Learning Engineer · Apple
Senior Machine Learning Engineer at Apple since 2022; their summary describes leading the design of ML platforms within Maps Search that support data ingestion, training, evaluation and deployment. Adwaita Janardhan Jadhav was Software Engineer at SLB (2018–2019), according to their profile.
Ayush Pareek
LinkedInExperience: Senior Machine Learning Engineer · Apple
Senior Machine Learning Engineer at Apple since 2020; their summary describes work on agentic search and RAG to provide results from Siri, Spotlight, Safari and other Apple products. Ayush Pareek was a graduate research assistant at Carnegie Mellon University (2018–2019), according to their profile.
Ivan Montero
LinkedInExperience: Senior Machine Learning Engineer · Apple
Senior Machine Learning Engineer at Apple since 2025 and Machine Learning Engineer there (2022–2025); a highlight says they work on LLM post-training, evaluation and verification systems for Siri AI with a focus on answer quality and factuality. Ivan Montero was a graduate researcher at the University of Washington.
Jiangkun (Jack) Liu
LinkedInExperience: Staff Machine Learning Engineer · Apple
Staff Machine Learning Engineer at Apple since 2025, a role a highlight describes as building multimodal AI capabilities for on-device experiences, with Apple ML engineer roles since 2018. Jiangkun (Jack) Liu was Imaging Scientist at Koning Health (2015–2018) and holds a Ph.D. in electrical and computer engineering.
Jiawen(Ivy) Zhang
LinkedInExperience: Senior Machine Learning Engineer · Apple
Senior Machine Learning Engineer at Apple since 2024, a role a highlight ties to on-device visual and text search in first-party apps. Jiawen(Ivy) Zhang was Machine Learning Engineer at Apple (2022–2024) and AI/ML Software Engineer there in 2021, according to their profile.
Junjue (Jay) Wang
LinkedInExperience: Senior Machine Learning Engineer · Apple
Senior Machine Learning Engineer at Apple in San Francisco since 2022, a role a highlight ties to machine learning software and infrastructure for Siri and Apple Vision Pro. Junjue (Jay) Wang was Principal Software Engineer at SambaNova (2020–2022) and a doctoral researcher at Carnegie Mellon University.
Karanjeet Singh
LinkedInExperience: Staff Machine Learning Engineer · Apple
Staff Machine Learning Engineer at Apple since 2017; their summary says they build large-scale machine learning systems for search, with early work on Applebot and information extraction for Spotlight and Siri. Karanjeet Singh is also a committer and PMC member at The Apache Software Foundation.
Tatsuya Aoki
LinkedInExperience: Senior Machine Learning Engineer · Apple
Senior Machine Learning Engineer at Apple since 2023 and Machine Learning Engineer there (2020–2023); their summary says they helped ship Apple Intelligence features such as Writing Tools by adapting foundation models for Japanese, Korean and Chinese on constrained devices. Tatsuya Aoki is based in the Bay Area.
Vineet Garg
LinkedInExperience: Machine Learning Engineer · Apple
Machine Learning Engineer at Apple since 2019; their summary says they work on compressing LLMs for efficient inference on Apple devices, and their headline names model optimization and hardware-software co-design. Vineet Garg was Project Engineer at Systemantics India (2015–2017), according to their profile.
Yuxin Bai
LinkedInExperience: Staff Machine Learning Engineer · Apple
Staff Machine Learning Engineer at Apple since 2016, a role a highlight ties to Audio Media Technologies, Create ML and Core ML, with LLM foundation models, fine-tuning, adapters and agents named as areas. Yuxin Bai was a computer systems research assistant at the University of Rochester (2010–2016).
Choose the right perspective
Match the product area or technical focus each person names in their own title or summary to your question. Check their seniority and years at Apple, since staff engineers and newer engineers see the work at different levels.
Questions to take into the conversation
- 01How does building machine learning features for on-device use change model design and evaluation?
- 02How are machine learning features tested for quality and reliability before they ship to users?
- 03How do machine learning engineers work with researchers and product teams on a new feature?
Reaching Apple machine learning engineers
How can I contact one of these Apple machine learning 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: Apple, based on profile data retrieved on October 15, 2026. Being listed here doesn't mean someone has agreed to take calls.
How much does it cost to reach Apple machine learning engineers?
You choose the offer, starting at $5 per person. The offer is what the person receives, and Instant Expert's fee is added on top, so a $100 offer costs you $125. The fee is 20% of what you pay. You're charged only when the person books the call or sends the answer.
What if they don't reply?
You pay nothing. Instant Expert sends follow-up reminders, and if the person hasn't booked or answered within 7 days, the request expires and any hold on your card is released. You can invite several of the 10 people on this list at once and cap your total spend, so you pay only for the ones who accept.
Can an AI agent ask one of these Apple machine learning 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; roles marked former had ended by then. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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