Cameron R. Wolfe, Ph.D.

AI Researcher

Austin, Texas, United States5 yrs 7 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in language models and machine learning.
Led AI projects impacting millions globally.
Bridging academia and industry effectively.

Stackforce AI infers this person is a Machine Learning expert specializing in AI-driven solutions for E-commerce and media industries.

Contact

Skills

Core Skills

Machine LearningLanguage ModelsCreative WritingArtificial IntelligenceRecommendation SystemsDeep LearningComputer Vision

Other Skills

Search AlgorithmsConversational AI

About

Check out my website for an up-to-date summary of my work: https://cameronrwolfe.me/ I am an applied researcher focusing on language models. I currently am a Senior Research Scientist on the Globalization team at Netflix. The Globalization team aims to remove language barriers from the Netflix experience as we deliver movies and TV shows to 200+ million members across 190+ countries in 30+ languages. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including localized user interfaces, subtitles, and dubbing of Netflix originals. I earned my Ph.D. in Computer Science from Rice University (advised by Dr. Anastasios Kyrillidis) in Houston, TX. My research interests are related to math and machine/deep learning, including non-convex optimization, theoretically-grounded algorithms for deep learning, distributed training, and practical tricks for building better systems with neural networks. Prior to Rice, I was an undergraduate student in Computer Science at UT Austin, where I worked with the Neural Networks Research Group on research in genetic algorithms and evolutionary computation. I have a passion for leveraging basic, academic research to solve large-scale industrial problems. My primary goal is to be a bridge between academia and industry by making scientific information interpretable to all and helping to draw connections between scientific advancements and pressing industrial problems.

Experience

5 yrs 7 mos

Total Experience

1 yr 1 mo

Average Tenure

1 yr 11 mos

Current Experience

Netflix

3 roles

Staff Research Scientist

Promoted

Mar 2026 – Present · 1 mo · Remote

I am a Staff Research Scientist at Netflix focused on multimodal LLMs. I lead research on the Globalization team, which aims to remove language barriers from the Netflix experience as we deliver movies and TV shows to 300+ million members across 190+ countries in 30+ languages. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including localized user interfaces, subtitles, and dubbing of Netflix originals.

Machine LearningLanguage Models

Senior Research Scientist

Jan 2025 – Mar 2026 · 1 yr 2 mos · Remote

I am a Senior Research Scientist on the Globalization team at Netflix. The Globalization team aims to remove language barriers from the Netflix experience as we deliver movies and TV shows to 300+ million members across 190+ countries in 30+ languages. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including localized user interfaces, subtitles, and dubbing of Netflix originals.

Machine LearningLanguage Models

Senior Machine Learning Scientist

May 2024 – Jan 2025 · 8 mos · Remote

I am a Senior Machine Learning Scientist on the promotional writing team at Netflix. Our team works with creative writing teams to amplify and scale promotional content on Netflix.

Machine LearningCreative Writing

Rebuy engine

Director of Artificial Intelligence

Feb 2023 – May 2024 · 1 yr 3 mos · Remote

Rebuy is a personalized search and recommendations platform for D2C e-commerce brands. At Rebuy, I worked with an amazing team of engineers and researchers to build search, recommendation, and chat applications for over 10,000 e-commerce websites. Notable projects during my time at Rebuy include:
Deploying a personalized ranking model for recommendations
Building an AI-powered (hybrid) search engine from scratch
Creating an LLM-powered conversational search tool.

Artificial IntelligenceRecommendation Systems

Alegion

Research Scientist

Mar 2021 – Feb 2023 · 1 yr 11 mos · Austin, TX · Remote

At Alegion, I used deep learning techniques to help humans annotate data more quickly an accurately. As an example of a notable project, I developed an online learning system for computer vision annotation tasks that could predict annotations (preventing the human annotator from having to annotate from scratch) and learn from human corrections to this prediction in real-time. This tool improved annotator efficiency in terms of total annotation time by over 2X on select computer vision tasks. In addition, I wrote a significant amount of technical content for marketing purposes, aided the sales team in integrating AI-related concepts into the company's branding and outreach, and helped to guide company strategy with respect to AI-related initiatives.

Deep LearningComputer Vision

Salesforce

Data Science Intern

May 2019 – Mar 2021 · 1 yr 10 mos · Cambridge, Massachusetts, United States

I worked for Salesforce commerce cloud on the Einstein team as a part time (and full time during the summer) intern throughout the later years of my undergraduate and early years of my postgraduate education. I worked on deep learning for e-commerce, particularly focused upon creating more sophisticated recommendation systems and forming better product embedding vectors for downstream deep learning applications.

Deep LearningRecommendation Systems

Q2

Data Science Intern

May 2018 – Aug 2018 · 3 mos · Austin, Texas, United States

I worked on the data science team at Q2ebanking for a summer, where I solved banking automation problems with machine learning. The number of applications I worked on was wide, but typically centered around performing time series or behavioral modeling based on banking transaction history.

Machine Learning

Sisu

Engineering Intern

May 2017 – Aug 2017 · 3 mos · Round Rock, Texas, United States

I worked as an engineering intern at Sisu for a summer, where I focused on debugging robotics software written in LabView, did a lot of CAD modeling, and even manufactured robotics parts myself with CNC machines.