Melwy · 1 day ago
Senior Machine Learning Engineer - Quantitative Finance
Chicago, IL
Full-time
Remote
Senior Level
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Responsibilities
Researching, developing, and implementing state-of-the-art algorithms to optimize the performance of LLMs for algorithmic trading.
Designing and developing innovative methods to enhance LLM architectures for financial market prediction and decision-making.
Building scalable and efficient pipelines for training and deploying LLMs.
Collaborating with software developers and data scientists to improve trading infrastructure.
Analyzing historical and real-time market data to identify trading opportunities and enhance strategy performance.
Optimizing and monitoring live trading algorithms to ensure consistent profitability.
Staying ahead of market trends, industry regulations, and emerging technologies.
Publishing research papers and presenting findings at top-tier conferences.
Qualification
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Required
PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields.
Proven expertise in natural language processing (NLP) and generative AI.
Strong background in deep learning, particularly in LLM architectures.
Experience with large-scale LLM training frameworks such as PyTorch or TensorFlow.
Proficiency with GPU acceleration (CUDA) and distributed computing.
Solid programming skills in Python or C++ and familiarity with frameworks like Hugging Face or similar.
Strong mathematical understanding of AI principles and their integration into LLMs.
Experience with algorithmic trading platforms and statistical modeling.
Strong knowledge of market microstructure and financial instruments.
Proven success in developing and executing trading strategies.
Understanding of risk management practices in trading.
Strong analytical and problem-solving capabilities.
Self-driven, innovative, and collaborative.
Ability to work independently in a remote, cross-cultural environment.
Ability to thrive in a fast-paced, results-driven environment.
Demonstrated ability to generate impactful research in academic and professional pursuits.
Benefits
Fully remote work environment with flexible hours.
Competitive salary and equity package.
Regular virtual team-building events and knowledge-sharing sessions.
Support for continued learning, conference attendance, and professional development.
Company
Melwy
Melwy (ex-Startcrowd) is an online lab in artificial intelligence and data science, for precision medicine and drug discovery.
0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase
