The Voleon Group - Senior Machine Learning Engineer
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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 • Experience with experiment management, model evaluation pipelines, or ML workflow orchestration • Familiarity with modern ML/AI infrastructure patterns (model serving, feature stores, distributed training) • Experience with performance profiling and optimization of numerical or modeling code • Prior exposure to financial data, time-series analysis, or quantitative research environments • “FRIENDS OF VOLEON” CANDIDATE REFERRAL PROGRAM • If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form https://voleon.com/referrals/ to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program https://voleon.com/assets/Voleon-Referral-Bonus-Program.pdf.
Responsibilities
• 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
Benefits
• Base Salary $290K – $395K • Offers Bonus • The listed base salary range for this position is based upon the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. • Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • If you require sponsorship now or in the future, please provide more detail. • Recruiting Privacy Policy
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