Machine Learning Researcher at Scientech Research LLC (, NJ)
Scientech Research LLC· , NJ·
Role details
Work type
Onsite
Employment
Full-Time
Job description
Key Responsibilities：
- Mine alpha factors and build predictive models via deep learning based on multi-dimensional financial market data.
- Explore signal fusion and strategy ensemble approaches to enhance model robustness and portfolio return characteristics.
- Rapidly prototype, reproduce and optimize state-of-the-art deep learning models with mainstream ML frameworks.
- Stay updated on latest academic and industrial research, conduct ongoing model iteration and performance enhancement.
Qualifications：
- Bachelor’s degree or above from top domestic and international universities, majoring in Computer Science, Mathematics, Statistics, Machine Learning or related quantitative disciplines.
- Strong theoretical foundation in machine learning, proficient in Python and mainstream deep learning frameworks; capable of end-to-end data processing and independent modeling.
- Hands-on research or project experience in time series forecasting, NLP or other deep learning related domains.
- Logical, rigorous mindset with excellent self-learning capability and strong interest in applying ML to quantitative finance.
- Prior internship or working experience in Internet, AI, fintech or quantitative domains.
Preferred Qualifications：
- Kaggle competition awards or first-author publications at top ML conferences (NeurIPS / ICML / ICLR).
- Relevant internship experience in quantitative trading, asset management or financial technology.
Why work at Scientech Research LLC
- Culture: A research-driven, flat organization where "owners" shape the firm's direction. The team is small (~20-25 people), fostering high ownership and impact.
- Work Policy: Multiple offices with in-office presence required. Locations are Jersey City, NJ (HQ) and Shanghai, China.
- Technology: State-of-the-art tech stack (Python, C++, AWS, Linux, Redis, PostgreSQL, React). Works on hard problems at the intersection of finance, AI, and high-performance computing.
- Perks & Environment: Emphasizes intellectual challenge, team events, and being part of a firm that "never stops iterating." Ideal for those who enjoy deep, hard problems in financial markets.