обновлено 3 дня назад
Campus AI Research Engineer (Deep Learning)
300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Campus AI Research Engineer (Deep Learning): Developing and deploying state-of-the-art machine learning models for global financial markets with an accent on high-performance computing and low-latency production systems. Focus on building flexible ML frameworks, optimizing training pipelines, and integrating complex models into production environments.
Location: Must be based in Chicago or New York
Salary: $300,000 per year (annualized)
Company
is a global quantitative research and trading firm that leverages advanced statistical analysis and technology to solve complex problems in financial markets.
What you will do
- Apply state-of-the-art machine learning techniques to complex financial domains.
- Collaborate with researchers and quants to build flexible, reusable frameworks for financial ML.
- Optimize training pipelines to maximize the efficiency of HPC resources.
- Integrate ML models into production systems where latency is critical.
- Develop large-scale ML systems using C, C++, Python, and CUDA.
- Improve research productivity by reducing iteration cycle times.
Requirements
- Strong publication record at top-tier AI conferences (ICML, ICLR, NeurIPS, etc.) or significant open-source contributions.
- Solid background in modern deep learning techniques and language modeling architectures.
- Proficiency in Python and/or C++.
- Experience with ML frameworks such as PyTorch, JAX, or TensorFlow.
- Ability to communicate effectively with quantitative researchers.
- Must be eligible for CPT/OPT if an international student.
Nice to have
- Experience with HPC and distributed large model training.
- GPU performance optimization skills (CUDA or ROCm).
- Experience with end-to-end model development.
Culture & Benefits
- Collaborative, research-driven environment focused on intellectual honesty and innovation.
- Exposure to cutting-edge research and large-scale financial data.
- Opportunity to work with world-class talent in mathematics and computer science.
- Visa sponsorship available for full-time positions.
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