Senior Machine Learning Engineer

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Senior Machine Learning Engineer in USA new

Adyen
Full time
Email

USA
11/05/2026
Report

San Francisco, CA

Responsibilities

Develop and maintain scalable production ML pipelines for feature engineering, model training, validation, and deployment.
Build and operate machine learning models and rule-based decision systems for credit products and underwriting.
Identify and resolve performance bottlenecks involving memory consumption, online latency, and training time.
Collaborate with software engineers to integrate ML solutions into products and services.
Partner with CreditOps and data teams to integrate current tools and shape future tooling priorities.
Support strong engineering practices across product ML teams.
Work across the full model lifecycle, from research and data analysis through deployment, monitoring, and continuous improvement.

Requirements

Require 5–7+ years of experience as an engineer working in machine learning.
Strong Python programming skills and experience with Java.
Experience with the full machine learning model lifecycle in production.
Experience using big data to build pipelines that provide appropriate model inputs.
Strong understanding of software engineering practices, data engineering, and MLOps principles.
Knowledge of data science, statistics, and machine learning techniques.
Familiarity with Python data science tools including PySpark, Trino SQL, TensorFlow, PyTorch, XGBoost or LightGBM, Pandas, MLflow or similar MLOps frameworks, and Airflow.
Experience with ML infrastructure tools such as Kubernetes, Docker, Airflow, Argo Workflows, Prometheus, and Grafana.
Ability to lead projects from ideation through deployment and communicate complex outcomes to varied stakeholders.
Experience with underwriting models or systems is preferred.
Experience working with a machine learning feature store is preferred.

Benefits

Annual base salary range of $227,500–$317,000 plus RSUs.
Based in the San Francisco office; this is an office-first role and not remote-only.
Potential future relocation discussions for Adyen offices in Amsterdam or Madrid.
Access to large global payments and identity datasets and the opportunity to work on ML and fintech problems at scale.
Small teams, direct communication, ownership, and a startup-oriented environment within an established company.
Adyen provides accommodations and recruitment-process support for candidates who need them.

Salary: $228k - $317k/yr

Adyen

Adyen (AMS: ADYEN) is the financial technology platform of choice for leading companies. By providing end-to-end payments capabilities, data-driven insights, and financial products in a single global solution, Adyen helps businesses achieve their ambitions faster. With offices around the world, A...

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