6 дней назад
Principal Machine Learning Engineer (Ads Modeling)
197 400 - 256 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Machine Learning Engineer (Ads Modeling) (machine learning/deep learning): Advancing personalized ads recommendation algorithms using user behavior data and large-scale compute with an accent on foundational research, model validation, and metric design. Focus on designing the modeling roadmap, solving complex cross-team problems, and productionizing research with engineering and product teams.
Location: Mountain View, California, USA
Gross annual base salary: $197,400–$325,400 USD, depending on salary zone.
Company
develops a leading game engine and 3D technology platform used across games, XR, web, automotive, manufacturing, and healthcare.
What you will do
- Identify opportunities and design a modeling roadmap addressing customer needs.
- Drive foundational research into new machine learning models and paradigms.
- Use rich user data and large-scale compute to validate models rapidly.
- Advance ads recommendation algorithms and personalized advertising experiences.
- Collaborate with engineering and product teams to productionize research.
Requirements
- Hands-on experience applying state-of-the-art machine learning and deep learning models to complex real-world problems.
- Expertise in user behavior modeling.
- Proficiency in Python, PyTorch, and deep learning frameworks.
- Strong understanding of metric design, large-scale data analysis, and distributed computing frameworks.
- Ability to drive projects end-to-end, solve critical cross-team problems, and deliver measurable business results.
- Sufficient English proficiency for frequent professional verbal and written communication.
Culture & Benefits
- Health, life, and disability insurance, with offerings varying by country and employment status.
- Employee stock ownership and retirement or pension plans.
- Vacation, personal days, parental leave, and family-care programs.
- Mental health support, employee resource groups, and global employee assistance.
- Training and development programs, volunteering, and donation matching.
- Commute subsidy and office food snacks.
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