Steve Gong

AI Researcher

San Francisco, California, United States19 yrs 6 mos experience
Highly Stable

Key Highlights

  • Expert in Machine Learning and Big Data technologies.
  • Proven track record in developing advertising algorithms.
  • Strong background in distributed systems and cloud computing.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in Advertising Technology and High-Performance Computing.

Contact

LinkedIn

Skills

Core Skills

Machine LearningAdvertisingBig Data

Other Skills

Google Cloud Platform (GCP)Applied Machine LearningTensorFlowScalaNatural Language Processing (NLP)Distributed SystemsExtract, Transform, Load (ETL)CC++PythonJavaShell ScriptingMPIHDF5JavaScript

Experience

19 yrs 6 mos
Total Experience
5 yrs 6 mos
Average Tenure
2 yrs 11 mos
Current Experience

Netflix

Machine Learning Engineer

Jun 2025 – Present · 10 mos

  • Ads Identity & Audience

Reddit, inc.

Staff Software Engineer, Machine Learning

May 2023 – Present · 2 yrs 11 mos

  • Ads Targeting.

Twitter

Staff Software Engineer, Machine Learning

Jul 2013 – Feb 2023 · 9 yrs 7 mos · San Francisco Bay Area

  • Ads Targeting.
  • Ads Brand Safety.
Google Cloud Platform (GCP)Applied Machine LearningTensorFlowMachine LearningScalaNatural Language Processing (NLP)+3

Oak ridge national laboratory

Research Intern

Jun 2012 – Aug 2012 · 2 mos · Oak Ridge, TN

  • Parallel run-time transformation module design and implementation for ADIOS, an adaptive parallel I/O middleware for large-scale high-performance computing infrastructure.
Big DataDistributed Systems

Ibm t. j. watson research center

Research Intern

Jan 2010 – Apr 2010 · 3 mos · Hawthorn, NY

  • Performance diagnosing and optimization for stream processing system. Predictive anomaly prevention for distributed Cloud systems.
Big DataDistributed Systems

North carolina state university

Research And Teaching Assistant

Aug 2008 – Jul 2013 · 4 yrs 11 mos · Raleigh-Durham, North Carolina Area

  • Distributed System. Big Data. High-performance Computing. Cloud Computing.
Applied Machine LearningMachine LearningBig DataDistributed Systems

Tencent

Software Engineer

Jul 2006 – Jul 2008 · 2 yrs · Shenzhen, China

  • Back-end/front-end system/application developer for QQPet, a large interactive Web game community with over 1.5 million Peak Concurrent Users.
Distributed Systems

Education

North Carolina State University

PhD — Computer Science

Nanjing University

BS — Computer Science

Nanjing Foreign Language School

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