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Kyle Lin Email & Phone Number

Machine Learning Engineer at Element Energy
Location: Sunnyvale, California, United States 6 work roles 2 schools
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✓ Verified May 2026 3 data sources Profile completeness 86%

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Current company
Role
Machine Learning Engineer
Location
Sunnyvale, California, United States
Company size

Who is Kyle Lin? Overview

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Quick answer

Kyle Lin is listed as Machine Learning Engineer at Element Energy, a company with 80 employees, based in Sunnyvale, California, United States. AeroLeads shows a matched LinkedIn profile for Kyle Lin.

Kyle Lin previously worked as Battery Data Analyst at Element Energy and Engineer Intern at Quantumscape. Kyle Lin holds Master'S Degree, Materials Science And Engineering from Stanford University.

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Email format at Element Energy

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Element Energy

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Profile bio

About Kyle Lin

Kyle Lin is a Battery Data Analyst at Element Energy, where he applies his multidisciplinary expertise in Computer Science and Materials Science to solve complex challenges in the energy sector. His work encompasses data analysis, data engineering, and the development of software tools and algorithms, all aimed at advancing next-generation battery management systems on a GWh scale. Kyle's mission is to leverage Machine Learning and AI to optimize battery performance while minimizing safety risks.Kyle earned a Master’s degree in Materials Science from Stanford University, where he conducted research on solid-state batteries under Professor William Chueh. During his time at Stanford, he also developed strong skills in programming and software development, further enhancing his ability to innovate at the intersection of materials science and technology.

Current workplace

Kyle Lin's current company

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Element Energy
Element Energy
Machine Learning Engineer
Sunnyvale, CA, US
Employees
80
AeroLeads page
6 roles

Kyle Lin work experience

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

Battery Data Analyst

Current

Menlo Park, CA, US

  • Battery Algorithm Development Team
  • Build ML pipelines using Python and MLflow for systematic model retraining and benchmarking in both local machines and cloud
  • Expedite algorithm development cycles by developing web applications (full-stack) using Python (Plotly Dash) for data visualization and annotations
  • Manage core battery algorithms codebase and CI/CD pipelines for production in the cloud
  • Develop data dashboards and pipelines for monitoring R&D project on battery long-term degradation
Aug 2023 - Present

Engineer Intern

San Jose, California, US

  • Electrolyte development R&D team
  • Engineered automated data processing in Python, resulting in an 80% reduction in manual work by querying SQL database for electrical data of 300+ battery cells and classifying them with pandas and scikit-learn
Jun 2022 - Aug 2022

Technical Support Engineer

Osaka, JP

  • Department of High-Precision Measurement
  • Assisted customers through product demonstrations, training, and troubleshooting to facilitate 10+ purchase orders in 3 months
  • Developed 15+ new in-line measurement systems through system design, sensor configurations optimization, and software/hardware integration
  • Spearheaded technical training for 3 newly hired sales engineers on principles and applications of laser sensors in 2 months
Dec 2020 - Jul 2021

Process Engineer Intern

Hsinchu, Taiwan, TW

  • Department of Thin-Film PVD, Fab12A
  • Conducted experimentation and proposed a mechanism that leads to target poisoning and process instability in an Endura PVD tool
  • Achieved a 400% enhancement in the productivity of Ta/TaN thin-film deposition process by strategically refining the process recipe
Jul 2019 - Aug 2019

Research Assistant

Hsinchu, TW

  • Advisors: Prof. Jien-Wei Yeh and Che-Wei Tsai
  • Researched on structural metallic materials, from alloy design, thermal-mechanical processing, to analysis of microstructural and mechanical properties
  • Led 4 projects, coauthored 6 publications with 150 citations, and presented in 3 academic conferences
Sep 2017 - Jan 2019
Team & coworkers

Colleagues at Element Energy

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2 education records

Kyle Lin education

Master'S Degree, Materials Science And Engineering

Stanford University

Bachelor'S Degrees, Materials Science And Engineering + Economics (Double Majors)

National Tsing Hua University
FAQ

Frequently asked questions about Kyle Lin

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

What company does Kyle Lin work for?

Kyle Lin works for Element Energy.

What is Kyle Lin's role at Element Energy?

Kyle Lin is listed as Machine Learning Engineer at Element Energy.

Where is Kyle Lin based?

Kyle Lin is based in Sunnyvale, California, United States while working with Element Energy.

What companies has Kyle Lin worked for?

Kyle Lin has worked for Element Energy, Quantumscape, Keyence Corporation, 台積電, and 國立清華大學.

Who are Kyle Lin's colleagues at Element Energy?

Kyle Lin's colleagues at Element Energy include Jinkang Kwon, Paul Maxted, Andrew Vogel, Jaecheol Lee, and Ross Weber.

How can I contact Kyle Lin?

You can use AeroLeads to view verified contact signals for Kyle Lin at Element Energy, including work email, phone, and LinkedIn data when available.

What schools did Kyle Lin attend?

Kyle Lin holds Master'S Degree, Materials Science And Engineering from Stanford University.

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