Jacob Marks
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Jacob Marks Email & Phone Number

Technical Staff, Superintelligence at Meta
Location: New York City Metropolitan Area, United States 15 work roles 3 schools
1 work email found @samsung.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Current company
Role
Technical Staff, Superintelligence
Location
New York City Metropolitan Area, United States
Company size

Who is Jacob Marks? Overview

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Quick answer

Jacob Marks is listed as Technical Staff, Superintelligence at Meta, a with 136862 employees, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at samsung.com and a matched LinkedIn profile for Jacob Marks.

Jacob Marks previously worked as Head of Data at Liquid Ai and Senior Machine Learning Engineer and Researcher at Voxel51. Jacob Marks holds Doctor Of Philosophy - Phd, Physics from Stanford University.

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{first}.{last}@samsung.com
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Profile bio

About Jacob Marks

🔍 Senior Machine Learning Engineer & Researcher at Voxel51 | 🎓 Ph.D. in Theoretical Physics from Stanford University🔹 Focus Areas: Artificial Intelligence, Machine Learning, Computer Vision, Data Curation, Startups🌐 Transforming Data Transparency & Clarity at Voxel51At Voxel51, I work on AI-driven solutions, data visualization, and curation tools to make the world's data more transparent and actionable. Recent/ongoing efforts related to large language models, vector search, synthetic data, and MLOps.🛠️ Previous Experience• Google X: Applying probabilistic AI to quantum computing (70+ citations)• Samsung Research: Machine learning and physics-based algorithms for secret projects (Patent-pending).• Wolfram Research: Led development of Wolfram Quantum Framework• CERN: Deep neural networks for identifying particles in collisions.• Institute for Quantum Computing, Canada: Published peer-reviewed quantum computing research (1st author) as undergrad• Stanford Institute for Theoretical Physics: Multiple 1st author publications and doctoral dissertation in symmetric protected topology (condensed matter theory)• Synphonic: Founded startup to help musicians monetize their creative process, going from idea to MVP and revenue.📝 WritingI've contributed to Physics World magazine and regularly write technical blog posts on topics like AI, ML, and data science on Medium (6,900+ followers).✍️ VersatilityWhether it's Python code, academic papers, prose, or pitch decks, I bring the same level of expertise and enthusiasm. Don't put me in a box.🤝 Let's Connect!I'm always open to new opportunities and collaborations in AI, machine learning, computer vision, and data curation. Feel free to reach out!

Listed skills include Research, Physics, Python, Mathematical Modeling, and 18 others.

Current workplace

Jacob Marks's current company

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Meta
Meta
Technical Staff, Superintelligence
San Francisco, CA, US
Employees
136862
AeroLeads page
15 roles

Jacob Marks work experience

A career timeline built from the work history available for this profile.

Technical Staff, Superintelligence

San Francisco, Ca, Us

Senior Machine Learning Engineer And Researcher

Current

Ann Arbor, Michigan, Us

Building the future of data-centric AI!✅ Large language models (LLMs) for computer vision | Prompt engineering✅ Vector Search: Pinecone, Qdrant, LanceDB, Milvus, Chroma, Redis✅ Object Detection (YOLO-NAS, YOLOv8)✅ Segmentation (Segment Anything - SAM)✅ Multimodal ML (text-to-image, visual question answering, captioning)

Apr 2024 - Present

Machine Learning Engineer And Developer Evangelist

Ann Arbor, Michigan, Us

Building the future of data-centric AI!

Oct 2022 - Apr 2024

Student Contributor

Bristol, Bristol, Gb

Feb 2021 - Oct 2022

Co-Founder And Ceo

• Recruited and led founding team.• Took the company from idea to MVP and revenue.• Created data pipeline and customer acquisition funnel.• Secured funding.

May 2021 - May 2022

Algorithms Researcher, Think Tank Team (Ttt)

Mountain View, California, Us

• Designed, analyzed, and implemented efficient algorithms.• Developed novel RNN-based machine learning architecture.

May 2020 - Dec 2020

Ph.D. Resident

Mountain View, Ca, Us

• Designed and implemented classical energy based models (EBMs) and their quantum counterparts, quantum Hamiltonian based models (QHBMs).• Optimized machine learning algorithms.• Ran large-scale simulations.

Aug 2019 - Mar 2020

Research Fellow

Champaign, Il, Us

Led development of fast, symbolic code for the Wolfram language

May 2018 - Jan 2019

Algorithms R&D Intern

Champaign, Il, Us

Jul 2017 - May 2018

Imaging Engineer

Jointpoint

• Developed software in C# to assist surgeons performing minimally-invasive hip surgery.• Employed computer vision techniques including segmentation, adaptive thresholding, and edge detection• Company acquired by Johnson & Johnson subsidiary in 2019.

Jun 2017 - Oct 2017

Student Researcher

New Haven, Ct, Us

• Conducted analytic and computational research on quantum networks for undergraduate thesis under the guidance of Yale professor of physics Liang Jiang. • Proposed two-cavity nodes that could allow for multi-excitation quantum state transfer protocol.

Nov 2015 - Feb 2017

Undergraduate Research Assistant

Waterloo, Ontario, Ca

• Developed QTop, the first open-source simulation and visualization package for topological quantum error correcting codes. • Created first clustering decoder for qudit color codes.• Published 1st-author peer-reviewed article in New Journal of Physics as an undergraduate.

May 2016 - Aug 2016

Software Engineer Intern

New York, New York, Us

• Implemented and optimized a scalable Combinatorial Multigrid (CMG) Solver in C for improving numerical simulations of Lattice Quantum Chromodynamics (LQCD). • Parallelized calculations for LQCD

May 2015 - Aug 2015

Student Researcher

Meyrin, Genève, Ch

• Implemented and optimized deep neural networks for discriminating among bottom and top quarks in collisions at the Large Hadron Collider (LHC).• Reduced number of input variables by 75% while maintaining performance.

Mar 2014 - Aug 2014
Team & coworkers

Colleagues at Meta

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3 education records

Jacob Marks education

Doctor Of Philosophy - Phd, Physics

Stanford University

Bachelor Of Science - Bs, Intensive Physics, Math And Philosophy, Each With Distinction

Yale University

High School

Hopkins School
FAQ

Frequently asked questions about Jacob Marks

Quick answers generated from the profile data available on this page.

What company does Jacob Marks work for?

Jacob Marks works for Meta.

What is Jacob Marks's role at Meta?

Jacob Marks is listed as Technical Staff, Superintelligence at Meta.

What is Jacob Marks's email address?

AeroLeads has found 1 work email signal at @samsung.com for Jacob Marks at Meta.

Where is Jacob Marks based?

Jacob Marks is based in New York City Metropolitan Area, United States while working with Meta.

What companies has Jacob Marks worked for?

Jacob Marks has worked for Meta, Liquid Ai, Voxel51, Physics World, and Synphonic.

Who are Jacob Marks's colleagues at Meta?

Jacob Marks's colleagues at Meta include Maria Kent, Yves Togon, Noelani Santiago, Yohannes G., and Daria Maria Kluczewska.

How can I contact Jacob Marks?

You can use AeroLeads to view verified contact signals for Jacob Marks at Meta, including work email, phone, and LinkedIn data when available.

What schools did Jacob Marks attend?

Jacob Marks holds Doctor Of Philosophy - Phd, Physics from Stanford University.

What skills is Jacob Marks known for?

Jacob Marks is listed with skills including Research, Physics, Python, Mathematical Modeling, Matlab, Data Analysis, C++, and Machine Learning.

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