13 часов назад
Applied Scientist - User Intelligence (AI)
182 250 - 218 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
5 дней назад
Machine Learning Engineer (Ads Ranking)
189 507 - 274 604$
7 дней назад
Machine Learning Engineer I/II, Applied AI
116 000 - 170 000$
5 дней назад
Software Engineer, Machine Learning (Advertising)
150 000 - 224 000$
6 дней назад
Research Engineer (Agentic AI/ML)
200 000 - 400 000$
14 часов назад
Staff ML Engineer – Search & Discovery Relevance (AI)
174 000 - 299 000$
4 дня назад
Algorithm Developer III (AI/ML)
161 000 - 221 000$