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Thomas Lake Email & Phone Number

Deep Learning Lead at indeed.com
Location: Austin, Texas, United States 8 work roles 2 schools
1 work email found @indeed.com LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email t****@indeed.com
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Current company
Role
Deep Learning Lead
Location
Austin, Texas, United States
Company size

Who is Thomas Lake? Overview

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Quick answer

Thomas Lake is listed as Deep Learning Lead at indeed.com, a company with 19054 employees, based in Austin, Texas, United States. AeroLeads shows a work email signal at indeed.com and a matched LinkedIn profile for Thomas Lake.

Thomas Lake previously worked as Deep Learning Tech Lead at Indeed.Com and Machine Learning Scientist at Amazon. Thomas Lake holds Master Of Science (Ms), Computer Science from Western Michigan University.

Company email context

Email format at indeed.com

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{first_initial}{last}@indeed.com
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AeroLeads found 1 current-domain work email signal for Thomas Lake. Compare company email patterns before reaching out.

Profile bio

About Thomas Lake

I'm a machine learning researcher and applied scientist. My expertise is in deep learning for natural language processing. I am especially interested in zero-shot, few-shot, and meta-learning, as well as interpretability and explainability, recommender systems, AI ethics and fairness, reinforcement learning, and interactive learning systems.

Listed skills include Distributed Systems, Git, Tex, Algorithms, and 25 others.

Current workplace

Thomas Lake's current company

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indeed.com
Indeed.Com
Deep Learning Lead
Austin, TX, US
Website
Employees
19054
AeroLeads page
8 roles · 17 years

Thomas Lake work experience

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

Deep Learning Tech Lead

Current

Austin, Texas, US

  • Identifying and leading the delivery of high impact deep learning solutions across the company - Matching jobs and job seekers with fine-tuned language models - Parsing resumes with neural networks - Generating and.
  • Working with AI-Ethics to pilot an internal algorithm auditing framework
  • Presenting technical topics to leadership
  • Leading efforts to enable GPU compute capabilities and simplify deployment of machine learning models
May 2019 - Present

Machine Learning Scientist

Seattle, WA, US

  • Developed a novel attention-based Deep Learning technique for Collaborative Filtering
  • Led the development of the Deep Learning based system that generated the most engaging (measured by CTR) personalized product recommendations on the Amazon homepage
  • Developed contextual bandit algorithms for content ranking on the Amazon mobile homepage
  • Developed a system for learning embeddings of millions of products used by multiple teams throughout the company
  • Co-organized the Recommender System workshop at Amazon's internal ML conference
Jul 2016 - May 2019

Lead Data Scientist

Austin, TX, US

  • Designed Machine Learning algorithms for one-shot learning, exercise classification, clustering, repetition counting, and form analysis
  • Developed and implemented inference and learning algorithms to run in resource constrained embedded environments
Jul 2014 - Jul 2016

Data Analyst

Parsippany, NJ, US

  • Designed and implemented large scale genotype search algorithms
  • Designed algorithms for probabilistic inference of genotypes
  • Implemented pipelines for standardizing a variety of semi-structured external data sources by utilizing a combination of statistical natural language processing techniques, heuristics, and human-in-the-loop feedback
2013 - 2014 ~1 yr

Research Assistant, Risk Assessment And Mitigation Division

Kalamazoo, MI, US

  • Developed Machine Learning Algorithms for agricultural disease risk prediction
  • Improved recall (true positive rate) through the use of appropriate loss functions and regularization
  • Designed cross-validation procedures for spatiotemporal data
2010 - 2013 ~3 yrs

Undergraduate Researcher

Rolla, MO, US

  • Wireless Sensor Network development and simulation
  • Unsupervised Outlier detection in limited resource distributed computing environments
  • Developed a novel dynamic tree based routing scheme
May 2010 - Aug 2010

Web Developer/Support Technician

Advantage Computer Services
  • Worked with small team to design, develop, deploy and maintain websites for local businesses
  • Used and maintained a version control system
  • Deployed and maintained infrastructure for small to medium sized businesses
  • Provided on site, web, and phone support
2009 - 2010 ~1 yr
Team & coworkers

Colleagues at indeed.com

Other employees you can reach at indeed.com. View company contacts for 19054 employees →

2 education records

Thomas Lake education

Master Of Science (Ms), Computer Science

Western Michigan University

B.S., Computer Science, Mathematics

Western Michigan University
FAQ

Frequently asked questions about Thomas Lake

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

What company does Thomas Lake work for?

Thomas Lake works for indeed.com.

What is Thomas Lake's role at indeed.com?

Thomas Lake is listed as Deep Learning Lead at indeed.com.

What is Thomas Lake's email address?

AeroLeads has found 1 work email signal at @indeed.com for Thomas Lake at indeed.com.

Where is Thomas Lake based?

Thomas Lake is based in Austin, Texas, United States while working with indeed.com.

What companies has Thomas Lake worked for?

Thomas Lake has worked for Indeed.Com, Amazon, Atlas Wearables, Zoetis, and Western Michigan University.

Who are Thomas Lake's colleagues at indeed.com?

Thomas Lake's colleagues at indeed.com include Kelly O., Mike Rasmussen, Karla T., Irshad Mallick, and Joe Zucker.

How can I contact Thomas Lake?

You can use AeroLeads to view verified contact signals for Thomas Lake at indeed.com, including work email, phone, and LinkedIn data when available.

What schools did Thomas Lake attend?

Thomas Lake holds Master Of Science (Ms), Computer Science from Western Michigan University.

What skills is Thomas Lake known for?

Thomas Lake is listed with skills including Distributed Systems, Git, Tex, Algorithms, C, Clojure, Scala, and Image Processing.

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