3 дня назад
Research Engineer (AI/ML)
195 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Engineer (AI/ML) (Creator Advertising): Building applied AI and ML systems for creator advertising, including multimodal intelligence, ranking, recommendation, prediction, and foundation-model applications with an accent on proprietary data and production deployment. Focus on defining research problems, running rigorous experiments, developing learning and decision-making methods, and shipping models that improve campaign outcomes.
Location: New York, NY; on-site
Salary: $195,000–$400,000 per year, plus equity.
Company
builds AI-native infrastructure for creator advertising, using creative and performance signals to improve campaign strategy, creator matching, sponsorship pricing, and content review.
What you will do
- Own applied AI and ML research problems from definition and experimentation through production.
- Build multimodal systems that understand creators, brands, briefs, and video, audio, image, and text content.
- Develop ranking, recommendation, and prediction models for creator-brand fit and campaign outcomes.
- Apply foundation models, LLMs, retrieval, fine-tuning, post-training, and specialized model training to campaign planning and optimization.
- Turn campaign data into training signals, evaluations, and learning loops for optimization, exploration, measurement, and marketplace dynamics.
- Work with engineering and product to evaluate, deploy, and measure successful approaches in production.
Requirements
- Demonstrated experience conducting applied ML research through production systems, publications, open-source research, or comparable 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.
- Ability to turn ambiguous product problems into tractable research questions and run rigorous experiments.
- Strong engineering skills and experience taking ML work beyond prototypes into production systems.
- Strong knowledge of current AI research and judgment about which methods are useful in practice.
- A PhD or advanced degree in ML, AI, computer science, statistics, or a related field is useful but not required.
Culture & Benefits
- Opportunity to join an early-stage team and help shape engineering culture and research standards.
- Collaborative, transparent, and engaging work environment.
- Flexible PTO and comprehensive medical coverage through Aetna, with dental and vision plans through Guardian.
- 401(k) retirement plan and a $100 monthly lifestyle credit.
- Daily office lunches and snacks, dinner Monday through Thursday, subsidized Wellhub access, and an on-site gym.
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