3 дня назад
AI/ML Researcher (Multimodal Intelligence)
195 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Researcher (Multimodal Intelligence): Building AI-native systems for creator advertising that understand multimodal content, predict creator-brand fit and campaign outcomes, and improve campaign decisions with an accent on foundation models, recommendation, ranking, and learning loops. Focus on formulating research problems, designing rigorous experiments, developing new algorithms and evaluation methods, and translating successful research into production systems.
Location: New York, NY; on-site
Salary: $195K–$400K annually, plus equity
Company
builds AI-native infrastructure for creator advertising, using creative and performance signals to develop campaign strategies, match brands with creators, recommend sponsorship prices, and review content against brand requirements.
What you will do
- Own research problems from formulation and experimentation through validation and product application.
- Build multimodal systems that understand creators, brands, briefs, and content across video, audio, images, and text.
- Develop ranking, recommendation, prediction, foundation model, agent, and learning-loop approaches for campaign planning and optimization.
- Design rigorous experiments and evaluations to measure improvements in product and marketplace outcomes.
- Develop models, algorithms, training approaches, datasets, and evaluation methods when existing techniques are insufficient.
- Partner with engineering and product teams to translate research into reliable production capabilities.
Requirements
- PhD in machine learning, AI, computer science, statistics, or a related field.
- Original ML research demonstrated through peer-reviewed publications or comparable research contributions.
- Depth in one or more areas including foundation models, multimodal learning, recommendation and ranking, representation learning, reinforcement learning, decision-making, causal inference, or optimization.
- Experience applying research to real products or production systems and translating ambiguous product problems into research questions.
- Strong implementation skills, including prototyping ideas, working with large datasets and modern ML stacks, and collaborating with engineers on productionization.
- Ability to work on-site in New York, NY.
Nice to have
- Experience developing specialized models, fine-tuning or post-training foundation models, and using retrieval or proprietary data for model improvement.
- Experience with marketplace dynamics, optimization, exploration, measurement, or causal methods.
Culture & Benefits
- Opportunity to join an early team and help build a first-of-its-kind business.
- Collaborative, transparent, and engaging work environment.
- Flexible PTO and comprehensive medical, dental, and vision coverage.
- 401(k) retirement plan and a $100 monthly lifestyle credit.
- Office lunches, snacks, weekday dinners, gym access, and subsidized Wellhub membership.
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