Sean Cantrell
AeroLeads people directory · profile

Sean Cantrell Email & Phone Number

Senior Machine Learning Engineer at Spotify at PremiseAI
Location: Brooklyn, New York, United States 8 work roles 2 schools
1 work email found @spotify.com 2 phones found area 203 and 703 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email s****@spotify.com
Direct phone (203) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Senior Machine Learning Engineer at Spotify
Location
Brooklyn, New York, United States
Company size

Who is Sean Cantrell? Overview

A concise factual answer block for searchers comparing this professional profile.

Quick answer

Sean Cantrell is listed as Senior Machine Learning Engineer at Spotify at PremiseAI, a with 1 employees, based in Brooklyn, New York, United States. AeroLeads shows a work email signal at spotify.com, phone signal with area code 203, 703, and a matched LinkedIn profile for Sean Cantrell.

Sean Cantrell previously worked as Senior Machine Learning Engineer at Spotify and Machine Learning Engineer at Signos. Sean Cantrell holds Ph.D., Particle Theory from The Johns Hopkins University.

Company email context

Email format at PremiseAI

This section adds company-level context without repeating Sean Cantrell's masked contact details.

{first_initial}{last}@spotify.com
89% confidence

AeroLeads found 1 current-domain work email signal for Sean Cantrell. Compare company email patterns before reaching out.

Profile bio

About Sean Cantrell

I'm a physicist by training, an entrepreneur, and a machine learning engineer specializing in deep learning and natural language processing. With 21 years of experience, mathematical modeling of all forms comprises my bread and butter. Having been exposed to numerous specialties, I apply a deeply interdisciplinary approach to all of my work. I am especially passionate about utilizing my skills in the AI space to develop products that touch people's lives. Despite now being in the private sector, the academic in me never died, and I actively engage in and publish deep learning research as my passion.

Listed skills include Deep Learning, Data Analysis, Mathematical Modeling, Python, and 20 others.

Current workplace

Sean Cantrell's current company

Company context helps verify the profile and gives searchers a useful next step.

PremiseAI
Premiseai
Senior Machine Learning Engineer at Spotify
New York, New York, United States
Website
Employees
1
AeroLeads page
8 roles · 17 years

Sean Cantrell work experience

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

Role listed

New York, New York, United States

Senior Machine Learning Engineer

Current

Stockholm, Stockholm County, Se

As a senior MLE, I have* Helped develop the core embeddings algorithm for musical tracks that remains predominantly stable* Reduced training time of the core embeddings algorithm by 30%* Roadmapped and helped build an instruction fine-tuned multimodal model for recommendations that understands internal catalog vectors* Developed the in-house multitask, instruction fine-tuned language embeddings and masking model that extends bge-m3's capabilities to inferface with the multimodal model and is adapted to the Spotify corpus* Created a novel unsupervised compositing algorithm that represents collections of embeddings much more effectively than averaging -- relative improvements between 2% and 100% on various recommendation metrics.

Apr 2021 - Present

Machine Learning Engineer

Dec 2020 - Mar 2021

Machine Learning Engineer

New York, New York, Us

I lead the deep learning, algorithm, and general AI R&D efforts at ResoluteAI. My R&D efforts thus far comprise:* Developed prototype neural network, Green gauge network (GGN), that outperforms Transformers on autoencoding and autoregression tasks* Developed approximate nearest neighbors search with O(1) complexity that outperforms ANNOY, SCANN (before SCANN was published)* Developed novel locality preserving hashing algorithm for mapping vectors in Euclidean space to bit vectors in Hamming space. This is used as an intermediate step in the nearest neighbor search algorithm.* Used GGN-based language model and ANN search to create a semantic search engine using NLUGeneral duties include:* Stay abreast of SotA research; implement as necessary. Solve ML problems as the need arises.* Consult with customers to lead sales-driven product creation.* Collaborate with marketing.

Sep 2018 - Dec 2020

Data Scientist - Lead Consultant

Arlington, Va, Us

As the "Xpert" in deep learning and natural language processing for the data science specialty area at Excella, I cultivated our team's capabilities, engage with the DC data science community, and help define the cutting edge in the field. I leveraged my extensive background in mathematical modeling to:* Architect and build a machine learning-driven QA engine for USCIS, dubbed 'DALE' internally.* Discover the emergent Lie group structure of RNNs and word embeddings trained end-to-end on NLP tasks. • Develop a novel word embedding scheme, termed LieGr (Lie Group Embeddings), utilizing the results of the above mentioned exploration. Words are embedded as elements of a Lie group. Benchmarks vs other models in preparation.* Develop the state-of-the-art text generation network using a novel GAN architecture (YukawaGAN) and novel RNN (GaugeNN).

Feb 2017 - Aug 2018

Cto

Nls Analytics

Broadly, NLS Analytics develops extremely general metrology techniques and apparati for perturbatively nonlinear systems. Nonlinear dynamical processes and interactions influence a wide variety of physical systems of fundamental and applied signifi cance, and understanding the properties of the systems subject to these dynamical processes is critical to everything from the advancement of MEMS technology to personal health monitoring.NLS Analytics focused on applications of the broader approach to atomic force microscopy (AFM) and has nearly completed a prototype of a quantitative technique and delivery vector that retrofits existing AFM systems via their signal access module and enables high-throughput, dynamic quantitative imaging of materials, particularly viscoelastic and biological materials, in a manner that circumvents the need to characterize the cantilever tip geometry.

Dec 2014 - Jan 2017

Phd Candidate

Baltimore, Md, Us

PhD student in particle theory studying aspects of AdS/CFT with focus on the AdS side.For my thesis, I proved the Goldstone equivalence theorem and an arbitrary-order tensor generalization of it in AdS. I additionally created a lift formalism that extended the smearing technique for large-N conformal theories.Beyond the scope of my thesis work, I worked on composite Higgs and exotic physics models. As a humorous point of pride, by a day I was "successfully scooped" by Nobel laureate Glashow on proving superluminal neutrinos could not have been observed at Opera.

Aug 2009 - Oct 2015
Team & coworkers

Colleagues at PremiseAI

Other employees you can reach at spotify.com. View company contacts for 1 employees →

2 education records

Sean Cantrell education

Ph.D., Particle Theory

The Johns Hopkins University

B.S., B.A., Physics, Mathematics

University Of Virginia
FAQ

Frequently asked questions about Sean Cantrell

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

What company does Sean Cantrell work for?

Sean Cantrell works for PremiseAI.

What is Sean Cantrell's role at PremiseAI?

Sean Cantrell is listed as Senior Machine Learning Engineer at Spotify at PremiseAI.

What is Sean Cantrell's email address?

AeroLeads has found 1 work email signal at @spotify.com for Sean Cantrell at PremiseAI.

What is Sean Cantrell's phone number?

AeroLeads has found 2 phone signal(s) with area code 203, 703 for Sean Cantrell at PremiseAI.

Where is Sean Cantrell based?

Sean Cantrell is based in Brooklyn, New York, United States while working with PremiseAI.

What companies has Sean Cantrell worked for?

Sean Cantrell has worked for Premiseai, Spotify, Signos, Resolute.Ai, and Excella Consulting.

Who are Sean Cantrell's colleagues at PremiseAI?

Sean Cantrell's colleagues at PremiseAI include Ji Hae Wiley, Miss Malia M, Amin Nima, Päivi Lohi, and Jayashree Pridhivi.

How can I contact Sean Cantrell?

You can use AeroLeads to view verified contact signals for Sean Cantrell at PremiseAI, including work email, phone, and LinkedIn data when available.

What schools did Sean Cantrell attend?

Sean Cantrell holds Ph.D., Particle Theory from The Johns Hopkins University.

What skills is Sean Cantrell known for?

Sean Cantrell is listed with skills including Deep Learning, Data Analysis, Mathematical Modeling, Python, R, Sql, Model Building, and Statistics.

Find 750M verified contacts

Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.