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Wei Yang Email & Phone Number

Engineering Manager at Samsara at Samsara
Location: San Jose, California, United States 6 work roles 2 schools
1 work email found @amazon.com 3 phones found area 650 and 713 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 3 phones

Work email w****@amazon.com
Direct phone (650) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Engineering Manager at Samsara
Location
San Jose, California, United States

Who is Wei Yang? Overview

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Quick answer

Wei Yang is listed as Engineering Manager at Samsara at Samsara, based in San Jose, California, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 650, 713, and a matched LinkedIn profile for Wei Yang.

Wei Yang previously worked as Engineering Manager, Machine Learning Infrastructure at Samsara and Engineering Manager at Amazon. Wei Yang holds Master Of Science (M.S.), Statistics from Stanford University.

Company email context

Email format at Samsara

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

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

Profile bio

About Wei Yang

I am working at Amazon Alexa ASR as a software development manager.I am a machine learning engineering enthusiast.I am a Kaggle Grandmaster (https://www.kaggle.com/arsenal), and I won 1st place for 2 competitions.The winning approach for the most recent competition can be found here:https://www.kaggle.com/c/avito-demand-prediction/discussion/59880#349563.My most recent research: use TTS data to train/adapt ASR models (https://arxiv.org/abs/2106.07803).

Listed skills include R, Matlab, Latex, C++, and 19 others.

Current workplace

Wei Yang's current company

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

Samsara
Samsara
Engineering Manager at Samsara
AeroLeads page
6 roles

Wei Yang work experience

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

Engineering Manager, Machine Learning Infrastructure

Current

San Francisco, California, US

Sep 2023 - Present

Engineering Manager

Seattle, WA, US

  • Manage Alexa ASR Data teamResponsible for building and maintaining data infrastructure for ASR science experimentation and model release purposes.
  • Laid new architectural foundation, that enables continuous data-only ASR model releases across 15 locales.
  • Agile Scrum methodology, establish roadmap and execution plans.
  • Operational excellence within the team, manage customer issues and escalations.
  • Collaboration with TPMs and partner teams with applied scientists, and software engineers.
  • Participate in budgeting exercise, and manage employee performance and growth.
Dec 2021 - Sep 2023

Tech Lead / Senior Software Development Engineer

Seattle, WA, US

  • Tech lead, owned the end-to-end design and development of proactive error correction system, which detects and corrects ASR errors every 24 hours. Entity mis-recognition rate was improved by 20+%.
  • Tech lead, used multi-speaker synthetic audio for training ASR models, to improve slot error rate on medicine names by 60%. Paper accepted to Interspeech 2021 (https://arxiv.org/abs/2106.07803).
Jun 2020 - Dec 2021

Tech Lead / Senior Data Scientist

Fremont, California, US

  • Pony's first data scientist, responsible for leading multiple machine learning projects, and mining insights from the data to support business.
  • Project lead, prediction team, mainly focused on vehicle lane change models. Improved offline lane change model’s AUC from 0.926 to 0.966, and solved 38% more prediction regression issues in onboard prediction module.
  • Tech lead, intelligent labeling project, which leverages perception models to increase efficiency of the labeling process, where labeled data were in turn used to train various perception models. Designed and.
Apr 2019 - Jun 2020

Tech Lead / Senior Research Scientist

Mz

Palo Alto, CA, US

  • Research new algorithms and performed feature engineering for the internal DSP (demand-side platform) models for real-time bidding in the ad exchange. These include CTR model (impression to click), CTI model (click to.
  • Developed the pipeline of LTV models to predict short-term user-level payers/revenue for the whole marketing team. Extended the LTV models to cohort level. Collaborated with marketers across multiple teams on campaign.
  • Built the system for fraud detection at install level. Improved the system for CPE (Cost per Engagement) campaigns. Collaborated with colleagues on fraud detection at click level. Applied NLP techniques to detect email.
Sep 2015 - Apr 2019

Data Scientist

Campbell, CA, US

  • Applied uplift modeling for marketing campaign optimization to help identify customers with greatest response lift from the campaign.
Jan 2014 - Sep 2015
2 education records

Wei Yang education

Master Of Science (M.S.), Statistics

Stanford University

Bachelor Of Science; Bachelor Of Economics, Mathematics; Finance

Nankai University
FAQ

Frequently asked questions about Wei Yang

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

What company does Wei Yang work for?

Wei Yang works for Samsara.

What is Wei Yang's role at Samsara?

Wei Yang is listed as Engineering Manager at Samsara at Samsara.

What is Wei Yang's email address?

AeroLeads has found 1 work email signal at @amazon.com for Wei Yang at Samsara.

What is Wei Yang's phone number?

AeroLeads has found 3 phone signal(s) with area code 650, 713 for Wei Yang at Samsara.

Where is Wei Yang based?

Wei Yang is based in San Jose, California, United States while working with Samsara.

What companies has Wei Yang worked for?

Wei Yang has worked for Samsara, Amazon, Pony.Ai, Mz, and Saama Technologies, Inc..

How can I contact Wei Yang?

You can use AeroLeads to view verified contact signals for Wei Yang at Samsara, including work email, phone, and LinkedIn data when available.

What schools did Wei Yang attend?

Wei Yang holds Master Of Science (M.S.), Statistics from Stanford University.

What skills is Wei Yang known for?

Wei Yang is listed with skills including R, Matlab, Latex, C++, Mathematica, Java, Hadoop, and Javascript.

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