Machine Learning Engineer

Build predictive, data-driven products for financial data and documents at Kensho Technologies LLC in New York, NY (onsite). This role blends original research with practical engineering, from statistical analysis and model development to production-ready code, testing, and ongoing improvements as ML and statistics evolve.

What you’ll get

• Medical, Dental, and Vision insurance with 100% company paid premiums
• Unlimited Paid Time Off
• 26 weeks of 100% paid Parental Leave (paternity and maternity)
• 401(k) plan with 6% employer matching
• Generous company matching on donations to non-profit charities
• Tuition assistance up to $20,000 toward degree programs, plus up to $4,000/year for ongoing professional education (such as industry conferences)
• Plentiful snacks, drinks, and regularly catered lunches
• Dog-friendly office (CAM office)
• Bike sharing program memberships
• Compassion leave and elder care leave
• Mentoring and additional learning opportunities, plus time to expand your professional network through conferences and events

Responsibilities

• Identify, research, prototype, and build predictive data-driven products using statistical analysis and machine learning
• Perform original research and data analysis on large proprietary and open-source datasets to discover patterns, associations, correlations, outliers, and anomalies
• Formulate and test hypotheses about data distributions and regularities
• Design, implement, and evaluate statistical and machine learning models to explain and predict patterns across large volumes of financial data, including financial documents
• Write production code implementing predictive models and algorithms
• Create tests to support the robustness and reliability of productionized models
• Conduct peer review of research, prototypes, models, and code
• Stay current in the theory and application of statistical and machine learning techniques
• Maintain and expand expertise with tools and packages for numerical and statistical programming, data analysis, and ML modeling

Requirements

• Master’s degree in Computer Science, Statistics, Data Science, or a related quantitative field, plus one (1) year of experience in data science or a related quantitative occupation
• That one (1) year must include Machine Learning (ML) and artificial intelligence (AI) tools
• That one (1) year must include Data Preprocessing, Exploration and Visualization tools, including Jupyter, Matplotlib, Pandas, Scikit-learn
• That one (1) year must include Data Management and Storage tools
• That one (1) year must include Deployment and Machine Learning operations
• That one (1) year must include conducting and publishing Machine Learning research and producing code
• That one (1) year must include agentic systems, including Large Language Model (LLM) code generation and tool utilization

Anticipated base salary

$209,000 to $250,300 per year (anticipated base salary range).

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