Machine Learning Engineer
QuantOptimus • Remote, Remote • Posted May 27, 2026
Position Overview
Build innovative machine learning models to power our analytics platform and advance quantitative research in a fast-paced fintech environment.
Responsibilities
Develop and deploy sophisticated machine learning algorithms for accurate market signal generation
Process and analyze large, complex financial datasets to extract actionable insights
Optimize model performance for low-latency, real-time trading applications
Collaborate with researchers to translate theoretical concepts into practical implementations
Requirements
Advanced proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, or similar)
Demonstrated experience with cloud platforms (AWS, GCP, or Azure) for scalable deployments
Strong knowledge of financial time-series data analysis and feature engineering
Background in deep learning and natural language processing is a plus
Interested in this role?
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