Machine Learning Engineer

Join Kensho Technologies LLC in New York, NY (onsite) as a Machine Learning Engineer focused on statistical and machine learning-driven products for financial data and documents.

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 data sets to uncover patterns, associations, correlations, outliers, and anomalies
• Formulate and test hypotheses about distributions and regularities present in the data
• Design, implement, and evaluate statistical and machine learning models to explain and predict patterns across large volumes of financial data and financial documents
• Develop production code implementing predictive models and algorithms
• Write tests to support the robustness and reliability of productionized models
• Conduct peer review of research, prototypes, models, and code
• Stay current on 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 1 year of experience in data science or a related quantitative occupation
• 1 year of experience must include Machine Learning (ML) and artificial intelligence (AI) tools
• 1 year of experience must include data preprocessing and data exploration and visualization using tools including Jupyter, Matplotlib, Pandas, and Scikit-learn
• 1 year of experience must include data management and storage tools
• 1 year of experience must include deployment and machine learning operations
• 1 year of experience must include conducting and publishing machine learning research and producing code
• 1 year of experience must include agentic systems, including LLM code generation and tool utilization

Technologies

• Jupyter
• Matplotlib
• Pandas
• Scikit-learn
• Large Language Model (LLM)

Benefits

• Medical, Dental, and Vision insurance
• 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
• Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education (including 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
• Opportunity to expand professional network and participate in conferences and events

Base Salary

• Anticipated base salary range: $209,000 - $250,300 per year

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