Machine Learning Engineer at Netflix
Where they came from
Common skills
How they write about themselves
Headline and About section
Headline only: 'machine learning engineer' — no About section provided
Working on distributed machine learning infrastructure at scale. Focusing on efficient training and offline inference for LLMs and recommendation systems.
Netflix | Amazon | FAIR | Thomson Reuters | Bloomberg. Deep Learning | NLP | Recommender Systems. Mila | McGill | Waterloo.
Team player with a can-do attitude, phenomenal time management skills, and a strong user focus. Has developed several full stack web apps and distributed systems.
How they write about their work
Experience role summaries
* Ads Targeting. Ads Brand Safety.
I developed and deployed predictive models for automated marketing operations which have reduced error on ROAS by 50%.
Studio Media Algo, Computer Vision, Generative AI
Led the development and implementation of innovative quantization schemes and mixed precision deployment techniques to optimize machine learning models for production.
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