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Key job responsibilities
Responsibilities include:
* Drive end-to-end applied science projects that have a high degree of ambiguity, scale, complexity
* Provide technical / science leadership related to computer vision, large language models, and generative image + video.
* Research new and innovative machine learning approaches.
* Recruit high performing Applied Scientists to the team and provide mentorship.
* Establish team mechanisms, including team building, planning, and document reviews.Basic qualifications
* 10+ years of building AI models for business application.
* 4+ years of experience as a science leader or staff/principle level scientist.
* PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.Preferred qualifications
* Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.
* Published research work in academic conferences or industry circles.
* Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.
* Effective verbal and written communication skills with non-technical and technical audiences.
* Experience working with large real-world data sets and building scalable models from big data.
* Thinks strategically, but stays on top of tactical execution.
* Exhibits excellent business judgment; balances business, product, and technology very well.
* Experience in computational advertising.
- 4+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- 10+ years of building AI models for business application
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