AI Research Scientist - Campus Full-Time (Quantitative Research)
Контакты
300 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
aipythonllmmachine learningpytorchtensorflowdeep learningcloud computingreinforcement learningquantitative research
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$300к/год
$140к$170кмедиана$200к
По похожим ролям (38) ~ $170к/год
100
Крутая вакансия
развернуть
Чётко описанная исследовательская роль в ведущей quant-компании сочетает внедрение ML-моделей, доступ к мощной инфраструктуре и участие в исследованиях; требование быть на последнем году магистратуры с опытом или PhD заметно ограничивает круг подходящих специалистов.
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Строгий порог входаСовременные ML-технологииОт исследований к продакшенуПоддержка исследованийОклад выше рынка
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Research Scientist - Campus Full-Time (Quantitative Research): Developing predictive models and production-ready research infrastructure for financial markets with an accent on deep learning, large language models, reinforcement learning, and noisy data. Focus on running experiments across cloud and multi-machine CPU/GPU environments, implementing research in trading products, and solving complex quantitative problems.
Location: New York, United States; hybrid work policy with flexible in-office days.
Base pay: $300,000 per year, excluding discretionary bonus and other benefits.
Company
hirify.global is a quantitative investment management and trading firm applying technology, artificial intelligence, data science, and quantitative research to financial markets.
What you will do
Develop techniques and infrastructure from initial ideas through running prototypes and productionization.
Write code, use AI and machine learning tools, run experiments on state-of-the-art infrastructure and in the cloud, and build predictive models for financial markets, including alpha modeling and trading tactics.
Partner with teams across hirify.global to implement research ideas in products.
Collaborate with internal and external researchers and participate in relevant conferences.
Requirements
Final-year PhD candidates or final-year MS candidates with prior work experience.
Advanced degree in Computer Science, Engineering, or another STEM field.
Excellent Python programming skills and deep knowledge of TensorFlow, PyTorch, JAX, or similar frameworks.
Internship or work experience with deep learning, large language models, and/or reinforcement learning.
Machine learning experience with large amounts of noisy data and interest in applying it to financial problems.
Relevant research experience; publications at NeurIPS, ICML, ICLR, or similar venues are preferred.
Experience with cloud environments and multi-machine CPU/GPU setups.
Experience with version control systems, regression and unit testing, code reviews, and profiling.
Ability to work effectively in teams.
Nice to have
Familiarity with Rust, Java, or C++.
Participation in the open source community.
Research publications at NeurIPS, ICML, ICLR, or similar venues.
Culture & Benefits
Fully paid medical and dental insurance for employees and dependents, competitive 401(k) matching, and employer-paid life and disability insurance.
Onsite gyms with laundry service, wellness activities, casual dress, snacks, and game rooms.
Tuition reimbursement and conference and training sponsorship.
Generous vacation, unlimited sick days, and paid caregiver leave.
Flexible in-office days and a budget for home office setup.
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