1 месяц назад
AI Researcher
200 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Researcher (Deep Learning/Market Foundation Models): Developing and deploying foundation models for markets that ingest large-scale market data to predict future market states with an accent on data featurization, model architecture, training dynamics, and trading decisions. Focus on translating deep learning methods across application areas, improving model performance, and building efficient research systems with GPU, PyTorch/JAX, C++, FPGA/ASIC, or HPC technologies.
Location: London, United Kingdom, or New York, United States
Base salary: USD 200,000–300,000 per year, plus discretionary performance-based bonuses. Benefits vary by location.
Company
applies scientific research and sophisticated computing systems to algorithmic trading of financial products.
What you will do
- Develop and deploy foundation models for markets using large-scale market data.
- Improve the full modeling pipeline, including data featurization, architecture design, and training dynamics.
- Optimize how model outputs are converted into trading decisions.
- Independently pursue high-impact research directions within a small, focused team.
- Work with engineering, hardware, and systems teams to bring research concepts into production.
Requirements
- At least two years of professional experience in deep learning research.
- Experience in a research domain such as robotics, biology, chemistry, physics, audio, or video.
- Ability to translate methods between different application areas.
- Strong engineering skills, particularly in GPU kernel development, lower-level PyTorch or JAX development, intermediate C++, FPGA/ASIC systems, or HPC.
Nice to have
- Experience with large language models.
Culture & Benefits
- Access to state-of-the-art research clusters with high GPU-to-researcher ratios.
- Medical, dental, vision, and basic life insurance.
- Retirement savings plans.
- Sick leave, parental leave, vacation, and other paid time off; policies vary by location.
- Open, transparent, collaborative culture focused on research and automation.
Hiring process
- AI tools are prohibited during interviews or assessments unless explicitly authorized.
- Candidate responses may be evaluated for authenticity.
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