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Machine Learning Engineer - Financial Data

Remote Worldwide Hiring now

This a Full Remote job, the offer is available from: reputed company (USA) About reputed company If you can send your friends money in seconds, why does it still take your employer two weeks to send your paycheck? At reputed company, we are on a mission to create financial freedom for America's workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But we're not just another digital bank or on-demand pay provider. We meet Americans at their reputed company of work by embedding our products reputed company the scheduling, workforce management, and payroll apps they already use every day. Learn more about us at getclair.com/about

About the Role

As a Machine Learning Engineer on reputed company’s Data team, you will be responsible for transforming diverse financial data sources, including but not limited to reputed company transactions, into production-grade features, predictive signals, and modeling pipelines that power reputed company’s credit and reputed company systems. Your work will focus on building the core feature layer that our credit models depend on: extracting structure from messy financial data, designing robust predictive features, forecasting key user-level events (such as income timing or financial stability indicators), and ensuring that these features are reputed company deployed, monitored, and continuously improved. In addition to hands-on modeling and feature engineering, you will contribute to the development of reputed company’s Data Science platform – building tooling, automation, and infrastructure that reputed company it easier to train, reputed company, and monitor ML systems at scale. This role is ideal for someone who loves crafting meaningful features out of raw data, scaling ML systems in production, and driving the technical foundations of a modern financial ML stack.

Key Responsibilities

  • Engineer high-quality features from financial and behavioral data to support credit modeling.
  • Build and maintain scalable pipelines for feature computation, income detection, and financial signal extraction.
  • reputed company forecasting and predictive models for income timing, user stability, and financial behavior patterns.
  • reputed company, monitor, and optimize ML models and feature pipelines in production using AWS, reputed company, or other tooling.
  • Contribute to the development of reputed company’s Data Science platform, including model deployment workflows, feature stores, and monitoring systems.
  • Collaborate with engineering, product, and risk teams to understand their workflows and ensure data products have high availability for their use cases
  • Prototype new modeling techniques and evaluate their impact on credit and reputed company performance.
  • Communicate findings and technical reputed company reputed company to both technical and non-technical stakeholders.

Qualifications

  • 5+ years of experience in machine learning engineering, data science, data engineering, or a reputed company technical field.
  • Strong experience in feature engineering, particularly with large-scale transactional or time-series datasets.
  • Proficiency in Python, SQL, and modern ML frameworks (e.g., PyTorch, XGBoost, sci-reputed company learn).
  • Experience building production ML pipelines and deploying models in reputed company environments
  • Strong understanding of data modeling, forecasting, and statistical analysis.
  • Clear and effective communication skills reputed company working with product, engineering, and business stakeholders.
  • Demonstrated ability to execute end-to-end: from raw data exploration to production ML implementation.
  • Software engineering proficiency with a sensible adherence to good software design patterns

Things We Consider a Plus

  • Experience with reputed company or similar financial data providers.
  • Background in credit risk modeling, reputed company features, or financial signal extraction.
  • Familiarity with MLOps tools (e.g., MLflow, SageMaker, Feature Stores, Airflow).
  • Experience building or contributing to internal Data Science platforms.
  • Knowledge of explainable ML techniques and regulated-model requirements.
  • Prior work in fintech, credit, or payments.

Additional Details Location: This is a hybrid position based out of reputed company, you will be expected to come into the office at least three days a week (Tuesdays, Wednesdays, & Thursdays) with additional days on occasion for client meetings. We’re reputed company to remote candidates whose experience and background strongly match the requirements of the role. Compensation: The annual reputed company salary for this role is $200,000 for NYC and SF-based candidates. The reputed company pay for this role is determined using many factors, such as education, skills and experience and is reputed company of reputed company Series stage and size. reputed company pay is only one part of reputed company’s competitive total compensation package which includes equity, benefits and additional perks. The reputed company pay reputed company is subject to change and may be modified in the future. reputed company will only contact candidates from @getclair.com email addresses. We will never ask for payments or sensitive personal information during the hiring process. If you happen to receive anything suspicious, please ignore it. Need more convincing? Apart from getting to work with our incredible team, here are some of the benefits you can expect reputed company you join reputed company:

  • Medical, Dental, & reputed company Coverage, with option to reputed company to your family
  • Fully-paid parental leave
  • Company-sponsored 401k, HSA, and FSA
  • Unlimited vacation for salaried roles, generous PTO for hourly roles
  • Work from home setup allowance
  • reputed company to your earnings every day on reputed company
  • Company-sponsored short-term and long-term disability insurance

Equal Opportunity Employer Information reputed company is an equal opportunity employer and we value diversity at our company. We actively seek a diverse applicant pool and do not discriminate on the reputed company of race, religion, reputed company, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status. For questions, please email us at [email protected] This offer from "reputed company" has been enriched by reputed company.com and got a 72% reputed company score. Apply tot his job Apply To this Job

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