6 дней назад
Senior Machine Learning Engineer, Ads Modeling (AI)
188 200 - 244 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer, Ads Modeling (AI): Building and advancing personalized ads recommendation algorithms using user interaction data and large-scale compute with an accent on user behavior modeling, deep learning, and metric design. Focus on foundational research, validating models rapidly, and productionizing research with engineering and product teams.
Location: Mountain View, California, USA
Gross annual base salary: $188,200–$244,600 for Zone A; $167,200–$217,300 for Zone B; $148,700–$193,300 for Zone C.
Company
develops a leading game engine and 3D development platform used across games, XR, web, automotive, manufacturing, and healthcare.
What you will do
- Advance ads recommendation algorithms to deliver personalized advertising experiences.
- Analyze the ads business, including product offerings, advertiser goals, the ads-serving funnel, and real-time user interaction data.
- Drive foundational research into new machine learning models and paradigms.
- Use rich user data and large-scale compute to validate models rapidly.
- 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, 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 with colleagues and partners worldwide.
Culture & Benefits
- Health, life, and disability insurance, with eligibility and coverage varying by country and employment status.
- Commute subsidy, retirement or pension plans, employee stock ownership, and vacation and personal days.
- Parental leave and family-care programs.
- Mental health and wellbeing support, employee resource groups, and a global employee assistance program.
- Training and development programs, volunteering support, and donation matching.
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