ClarityPay

ClarityPay

Senior Machine Learning Engineer

New York City · Senior

Sponsorship not specified$125k-$150kDetected 220 days ago
PythonAlgorithmsSQLDatabricksAWSCloud PlatformsMachine LearningTensorFlowPyTorchData EngineeringA/B TestingLeadershipProblem SolvingMentoring

About the role

  • ClarityPay is undertaking transformative investments in machine learning products, algorithms, and platforms.
  • This role is for the engineer who looks at a "collections process" and sees a Reinforcement Learning environment.
  • The problem space here is ripe for innovation.

Responsibilities

  • End-to-End Problem Solving: 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.
  • Advanced Algorithmic Development: Develop and deploy inferential solutions that optimize management levers.
  • You will implement and tune advanced techniques including Contextual Bandits, Deep Q-Networks (DQN), Double DQN, and Bayesian optimization to infer causal effects and maximize long-term reward.
  • Engineering & Reliability: Build the "pipes" and the "brains." You will create robust data pipelines, develop inferential models, and ensure solution reliability in production. You will champion scientific rigor in data-driven decision-making.
  • Opportunities to grow, lead, and shape the future of consumer finance.

Requirements

  • You know when to use a simple regression and when to deploy a DDQN.
  • Strong Programming: 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.
  • Cloud Native: Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or similar.
  • Curiosity & Grit: You are willing to look at "messy" operational data (complaints, collections logs) and find the mathematical structure within it.
  • Expertise in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, Boosted Trees, and Scikit-Learn.
  • Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or similar.

Compensation

  • $125K - $150K per year, based on experience and qualifications.
  • Please email mj@claritypay.com if you are interested along with a resume.

Benefits

  • Competitive compensation and equity package.
  • Comprehensive benefits (medical, dental, vision).
  • Continuous Optimization: Continuously optimize the quality of our machine learning models for incremental lift estimation and causal inference, ensuring we are making the most efficient use of resources.
  • RL & Optimization Expertise: Strong theoretical understanding and practical experience with Reinforcement Learning (RL), Bandit algorithms (Thompson Sampling, UCB), and Bayesian inference.
  • We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, age, disability, veteran, marital status, or any other legally protected status.

Company info

  • We give businesses and their customers peace of mind by solving complex credit challenges with precision, speed, and intelligence, combining deep expertise with advanced technology, to simplify the experience and deliver better outcomes, every time.
  • We're a fast-growing fintech empowering enterprise merchants with smarter, more adaptive pay-over-time solutions. From point-of-sale financing to "Buy Now, Pay Later" programs and loyalty integrated offers, we're building configurable credit tools that help businesses serve more of their customers.
  • We value teamwork, clarity of purpose, and rigorous attention to data to drive action. We balance speed and excellence to deliver an exceptional customer experience.
  • We're a fast-growing fintech empowering enterprise merchants with smarter, more adaptive pay-over-time solutions.
  • From point-of-sale financing to "Buy Now, Pay Later" programs and loyalty integrated offers, we're building configurable credit tools that help businesses serve more of their customers.
  • We value teamwork, clarity of purpose, and rigorous attention to data to drive action.
  • We balance speed and excellence to deliver an exceptional customer experience.
  • Continuously optimize the quality of our machine learning models for incremental lift estimation and causal inference, ensuring we are making the most efficient use of resources.
  • We are building a product that reimagines the way money moves, and we are doing it by applying cutting-edge ML to problems that competitors solve with spreadsheets.
  • We believe in empowering our people to be successful.
  • This role offers a clear path to leadership and the chance to shape the technical direction of the company.
  • We are building a team of technically proficient, hands-on engineers who are passionate about solving complex optimization problems across customer complaints, collections, and offer optimization.
  • What We're Looking For

Equal opportunity

  • ClarityPay is an equal opportunity employer.
  • equal opportunity employer.
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This listing is sourced directly from ClarityPay's careers page and normalized into a canonical job model.