Senior Machine Learning Engineer

🔥 14 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $290k - $395k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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The Voleon Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2007

💸 Finance

🤖 Artificial Intelligence

Finance • Artificial Intelligence

The Voleon Group is an investment management firm that applies machine learning and rigorous statistical research to financial markets. Founded with an academic approach to research, Voleon emphasizes scalable models, risk management, and data-driven financial prediction rather than human intuition. Headquartered near UC Berkeley and operating through Voleon Capital Management LP and affiliates, the company hires Ph. D. -level researchers in statistics, computer science, and related quantitative fields to develop automated investment strategies and manage funds.

📋 Description

• Partner with PhD researchers to design, implement, and productize machine learning models that drive quantitative trading strategies • Develop and maintain complex data pipelines, including data ingestion, feature engineering, validation, and quality monitoring • Translate research prototypes and novel ideas into performant, well-tested, production-ready code • Build extensible tools and frameworks that accelerate the model development and experimentation lifecycle • Supervise, understand, and remediate subtle data quality issues across both research and production environments • Proactively lead projects from requirements through delivery, making autonomous decisions about scope, dependencies, and trade-offs, with an emphasis on long-term maintainability • Coordinate and contribute to deployment efforts while guiding junior engineers and researchers; align with research and engineering stakeholders on ownership, execution, and prioritization • Foster engineering consistency, standards, and best practices within Research

🎯 Requirements

• Bachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field • 5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design) • Demonstrated mathematical maturity — comfort with the concepts and notation used in statistics, linear algebra, optimization, and probability • Deep proficiency in Python; experience with R and/or C/C++ is a strong plus • Extensive experience with numerical and data science libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or similar) • Proven experience building or maintaining machine learning systems in a distributed computing environment • Proficiency developing in a Linux environment with attention to performance, correctness, and reproducibility • Exceptional attention to detail, particularly when working with imperfect or heterogeneous data • Strong verbal and written communication skills, and the ability to collaborate effectively with researchers whose primary expertise is not software engineering.

🏖️ Benefits

• Medical, dental, and vision coverage • Life and AD&D insurance • 20 days of paid time off • 9 sick days • 401(k) plan with a company match