
Senior Machine Learning Engineer
ClarityPay
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $125,000 - $150,000 per year
Job Level
Senior
Tech Stack
AWSCloudPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Own the full lifecycle of the solution. You will dive deep into case reviews to formulate hypotheses, design rigorous A/B tests to validate them, and automate the scaling of successful strategies.
- Develop and deploy inferential solutions that optimize management levers.
- Build robust data pipelines, develop inferential models, and ensure solution reliability in production.
- Continuously optimize the quality of our machine learning models for incremental lift estimation and causal inference.
- Help define our engineering standards, evaluate and adopt new technologies, and provide technical leadership/management to offshore development teams.
Requirements
- 1-5+ years of industry machine learning experience with excellent engineering skills.
- Strong theoretical understanding and practical experience with Reinforcement Learning (RL), Bandit algorithms (Thompson Sampling, UCB), and Bayesian inference.
- Expertise in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, Boosted Trees, and Scikit-Learn.
- Experience with SQL and data manipulation is required.
- Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or similar.
- Strong background in experiment design, A/B testing, and causal inference.
- Willing to look at "messy" operational data (complaints, collections logs) and find the mathematical structure within it.
Benefits
- Competitive compensation and equity package.
- Comprehensive benefits (medical, dental, vision).
- Collaborative office culture with a strong product mindset.
- Opportunities to grow, lead, and shape the future of consumer finance.
- 401k program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningReinforcement LearningBandit algorithmsBayesian inferencePythonA/B testingcausal inferenceSQLdata manipulationinferential models
Soft skills
technical leadershipmanagement