ML Engineer
About Us
We are an elite, technology-driven hedge fund based in Boston, managing billions in assets across global markets. Our firm thrives on innovation, rigorous research, and cutting-edge technology. We foster a collaborative, intellectually curious environment where top talent builds proprietary systems and strategies to gain a competitive edge.
The Role
We're seeking a highly skilled Machine Learning Engineer to join our Quantitative Research & Technology team. You will play a pivotal role in developing and deploying advanced ML models that drive investment strategies, risk management, and decision-making across the firm. This is a high-impact role with direct exposure to portfolio managers, researchers, and technologists.
Responsibilities
Design, implement, and deploy machine learning models to support quantitative research and trading.
Collaborate with data scientists and quant researchers to identify opportunities for ML applications.
Build robust pipelines for data ingestion, feature engineering, training, and real-time inference.
Evaluate and optimize model performance in live trading environments.
Maintain and enhance infrastructure for model versioning, monitoring, and deployment.
Contribute to research on novel ML techniques applicable to finance.
Qualifications
3-6+ years of experience in machine learning engineering, preferably in a quantitative or financial setting.
Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Deep understanding of modern ML techniques, including supervised/unsupervised learning, deep learning, and time-series modeling.
Experience deploying models in production, preferably in low-latency or high-throughput environments.
Familiarity with financial markets, quantitative modeling, or trading systems is a strong plus.
Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, Applied Mathematics, or a related field.
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your CV and details on file so when we see similar roles or see skillsets that drive growth in organisations, we will always reach out to discuss opportunities.
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