Machine Learning Engineer

Join Kensho Technologies LLC to build predictive, data-driven machine learning products that use statistical analysis to turn complex financial data and documents into actionable insights. This onsite role in New York, NY combines original research with production-quality model development, with support for learning, mentorship, and a team environment backed by strong benefits.

Compensation: Anticipated base salary range of $209,000 to $250,300 USD per year.

What you’ll do

• Identify, research, prototype, and build predictive data-driven products using statistical analysis and machine learning.
• Conduct original research and data analysis on large proprietary and open-source datasets to surface patterns, associations, correlations, outliers, and anomalies.
• Formulate and test hypotheses about distributions and regularities in financial data and related documents.
• Design, implement, and evaluate statistical and machine learning models to explain and predict patterns across vast amounts of financial information.
• Write production code implementing predictive models and algorithms.
• Create tests that support robustness and reliability of productionized models.
• Participate in peer review of research, prototypes, models, and code.
• Stay current with 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 machine learning modeling.

What you bring

• 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.
• One (1) year of experience that includes Machine Learning (ML) and artificial intelligence (AI) tools.
• One (1) year of experience that includes data preprocessing, exploration, and visualization tools, including Jupyter, Matplotlib, Pandas, and Scikit-learn.
• One (1) year of experience that includes data management and storage tools.
• One (1) year of experience that includes deployment and machine learning operations.
• One (1) year of experience that includes conducting and publishing machine learning research and producing code.
• One (1) year of experience that includes agentic systems, including Large Language Model (LLM) code generation and tool utilization.

Tools and technologies

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

Benefits and support

• 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.
• Up to $20,000 tuition assistance 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.
• Opportunity to expand your professional network and participate in conferences and events.

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