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Jamie King Email & Phone Number

ML @ Cash App at Block
Location: Greater Seattle Area, United States 8 work roles 4 schools
1 work email found @dwavesys.com 4 phones found area 778 and 336 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 4 phones

Work email j****@dwavesys.com
Direct phone (778) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
ML @ Cash App
Location
Greater Seattle Area, United States

Who is Jamie King? Overview

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Quick answer

Jamie King is listed as ML @ Cash App at Block, based in Greater Seattle Area, United States. AeroLeads shows a work email signal at dwavesys.com, phone signal with area code 778, 336, and a matched LinkedIn profile for Jamie King.

Jamie King previously worked as Senior Staff ML Engineer at Block and Applied Scientist at Meta. Jamie King holds Phd, Computer Science from Mcgill University.

Company email context

Email format at Block

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{first_initial}{last}@dwavesys.com
86% confidence

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

Profile bio

About Jamie King

* Applied computer science research leader* PhD plus 12 years of industry experience* 5 years managing and leading R&D teams* 3 years shipping ML models at FAANG scale* Proficient in Python, C++, and PyTorch* Inventor of patented optimization algorithms

Listed skills include Algorithms, Data Analysis, Python, C++, and 11 others.

Current workplace

Jamie King's current company

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

Block
Block
ML @ Cash App
AeroLeads page
8 roles

Jamie King work experience

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

Senior Staff Ml Engineer

Current

Oakland, California, Us

Feb 2023 - Present

Applied Scientist

Menlo Park, Ca, Us

Jul 2019 - Feb 2023

Algorithm Research Team Lead

Burnaby, British Columbia, Ca

As the leader of D-Wave's benchmarking team I am broadly responsible for the internal evaluation of our quantum processing units (QPUs) after initial calibration. The task at hand is to take an analog superconducting quantum processor and distil its complex performance signature into clear, actionable metrics. This involves a combination of algorithm research and data science. I communicate performance measurements internally through membership on multiple core teams, and externally through technical exchanges and outward-facing publications. Our team also engages in greenfield research of hybrid quantum/classical algorithms.

Jul 2017 - May 2019

Senior Algorithms Researcher

Burnaby, British Columbia, Ca

As a senior algorithm researcher on of D-Wave's benchmarking team I managed a team of researchers and software developers assessing the performance of the latest quantum annealing chips to come out of fabrication. This involved research and development of classical optimization and sampling algorithms, design and development of a benchmarking framework and analytics suite, and administration of a database server.

Aug 2015 - Jul 2017

Optimization Algorithms Researcher

Burnaby, British Columbia, Ca

As a researcher on D-Wave's benchmarking team I acted as an algorithm researcher, data scientist, and manager, assessing the performance of the latest quantum annealing chips to come out of fabrication. This involved research and development of classical optimization and sampling algorithms, design and development of a benchmarking framework and analytics suite, and administration of a database server.

Nov 2013 - Aug 2015

Data Science Team Lead

Santa Barbara, Ca, Us

In my position at Pulse Energy I led their team in the analysis of energy data that informs their Energy Information Systems, primarily those that help utilities engage their small and medium enterprise customers. Pulse Energy's analytics team develops prototype software for automated energy analysis and performs research into what insights can be gleaned from the application of machine learning techniques to data from hundreds of thousands of smart meters. I was also responsible for Pulse Energy's program evaluation, performing econometric/statistical analysis of energy efficiency programs to determine program-level energy savings.

Oct 2012 - Nov 2013

Postdoctoral Researcher

Oxford, Oxfordshire, Gb

Developed and analyzed agent-based models for spreading processes on social networks for an interdisciplinary collaboration. Developed a high-throughput engine in C# for feature-based analysis of combinatorial energy landscapes associated with optimization problems.

Oct 2010 - Sep 2012

Research Intern

Microsoft Research Cambridge

Analyzed data using Matlab and developed graphical models using C# and Infer.NET. Participated in an interdisciplinary research team investigating the nature of asthma and allergies.

Feb 2010 - Apr 2010
4 education records

Jamie King education

Phd, Computer Science

Mcgill University

Msc, Computer Science

The University Of British Columbia

Bmath, Computer Science

University Of Waterloo

High School

St. George'S School
FAQ

Frequently asked questions about Jamie King

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

What company does Jamie King work for?

Jamie King works for Block.

What is Jamie King's role at Block?

Jamie King is listed as ML @ Cash App at Block.

What is Jamie King's email address?

AeroLeads has found 1 work email signal at @dwavesys.com for Jamie King at Block.

What is Jamie King's phone number?

AeroLeads has found 4 phone signal(s) with area code 778, 336 for Jamie King at Block.

Where is Jamie King based?

Jamie King is based in Greater Seattle Area, United States while working with Block.

What companies has Jamie King worked for?

Jamie King has worked for Block, Meta, D-Wave Systems Inc., Pulse Energy, and University Of Oxford.

How can I contact Jamie King?

You can use AeroLeads to view verified contact signals for Jamie King at Block, including work email, phone, and LinkedIn data when available.

What schools did Jamie King attend?

Jamie King holds Phd, Computer Science from Mcgill University.

What skills is Jamie King known for?

Jamie King is listed with skills including Algorithms, Data Analysis, Python, C++, R, Matlab, Statistics, and Machine Learning.

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