Staff AI/ML Applied Engineer

Summary

Join Esusu, a Series B startup democratizing access to credit, and become our new ML Engineer. You will build and deploy machine learning models to predict creditworthiness and other key financial factors, working with large datasets in AWS and Snowflake environments. This role requires strong collaboration with various teams and a proven track record in building and deploying ML models. You will also mentor data analysts and engineers, ensuring efficient delivery and high-quality outcomes. Esusu offers a competitive salary, comprehensive benefits, and a 100% remote work environment. We are committed to creating an inclusive environment for all employees.

Requirements

• Master’s degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis
• Relevant bachelor’s degree in a STEM field with 10+ years of relevant work experience in Machine Learning and Statistics
• Very strong experience in AI and ML in the financial technology or service industry, including working with credit and financial datasets
• Proven track record in building and deploying machine learning models, with a strong understanding of the theory and tradeoffs behind these techniques
• Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression
• Very strong knowledge of Python and SQL
• Strong experience with AWS cloud services and tools, including AWS SageMaker for model development, training, and deployment, and AWS Bedrock for building and fine-tuning foundation models
• Experience in working with model registry tools such as MLflow, SageMaker Model Registry, or other similar systems, to track, version, and manage machine learning models throughout their lifecycle
• Experience implementing DataOps, MLOps, and/or DevSecOps in the AI, ML, and software development lifecycle
• Experience building ML models with PyTorch, Scikit-learn, and GenAI models
• Experience working with LLM frameworks such as HuggingFace libraries and with agent-based frameworks such as LangChain and Mirascope
• Familiarity with Snowflake for cloud data warehousing, data integration, and efficient handling of large-scale data storage and processing

Responsibilities

• Apply advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors
• Work closely with the Data Analytics and Data Engineering teams to ensure the models are trained on high-quality data and integrated into production systems
• Collaborate with key managers, product owners, and other peers and cross-functional partners
• Create interpretable, accurate, and scalable predictive models utilizing datasets generated from our AWS and Snowflake environments
• Translate model insights into actionable strategies that drive business decisions and financial inclusion
• Coach and mentor your fellow data analysts and data engineers
• Ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing your work
• Exhibit and foster Esusu’s culture and operating principles

Preferred Qualifications

• PhD degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis
• Experience in the FinTech or PropTech areas
• Experience in a startup environment
• Experience with microservices
• Experience working with data governance policies in SOC2 or similarly certified organizations

Benefits

• Competitive Salary – for Series B startup – $200,000 - $235,000 annually
• Competitive Restricted Stock Units (RSU)
• Full Medical, Dental, and Vision Insurance
• 401K Plan
• Fitness/Gym Stipend
• Paid Parental Leave
• Remote Work Environment – a 100% virtual
• Flexible PTO Policy
• Mission Driven Company – a strong and driven culture