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13 часов назад

Applied Scientist - User Intelligence (AI)

182 250 - 218 500$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
UK/Singapore/US +4 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Applied Scientist - User Intelligence (AI): Developing personalization and targeting intelligence for real-time advertising at trillion-event scale with an accent on attention-based architectures, multimodal data, and recommender systems. Focus on evaluating research hypotheses, reducing millisecond-level inference latency, advancing offline and online evaluation, and taking successful models into production.

Location: San Mateo, California, United States; the stated salary range applies to offices in California and New York.

Salary: $182,250–$218,500 USD per year, plus potential RSUs.

Company

hirify.global is a global advertising technology company developing privacy-focused personalization, targeting, and commerce experiences across apps, connected devices, and the open web.

What you will do

  • Build and evaluate evidence-backed machine learning hypotheses and move successful approaches into production.
  • Research attention and post-attention architectures using multimodal data for real-time advertising.
  • Advance offline and online evaluation methods so model improvements produce measurable business impact.
  • Use product data features to improve personalization models and identify high-value data sources.
  • Contribute to model implementations, training pipelines, documentation, and infrastructure planning.
  • Publish research, give talks, and participate in leading conferences.

Requirements

  • PhD in machine learning, data science, or a related field preferred; a master's degree with strong industry experience is also considered.
  • Demonstrated expertise in machine learning and deep learning through publications or production-scale model development.
  • Fluency with PyTorch or JAX and the ability to implement complex vectorized operations.
  • Experience with deep recommender systems, including two-tower and attention-based architectures.
  • Experience with large-scale distributed data systems and production training and inference pipelines.

Nice to have

  • Understanding of the advertising ecosystem, including OpenRTB, SSPs, DSPs, ad exchanges, and MMPs.
  • Peer-reviewed publications at venues such as NeurIPS, KDD, or RecSys.

Culture & Benefits

  • Entrepreneurial environment with autonomy, accountability, and a focus on high-impact problems.
  • Medical, dental, and vision insurance, including a company-matched HSA.
  • 401(k) company match, vacation, sick days, holidays, and parental leave.
  • Flexible working hours, wellness stipend, employee assistance program, and pet insurance.
  • RSU grants may be available, with opportunities for continuous learning and career development.

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