Adyen
Staff Machine Learning Engineer, Financial Products
San Francisco · Staff+
Sponsorship not specified$297k-$401kDetected 31 days ago
PythonSQLDockerKubernetesPrometheusGrafanaMachine LearningTensorFlowPyTorchPandasSparkAirflowData AnalysisData EngineeringData ScienceMLOpsStatisticsRecruitingResearchCommunicationCollaborationUnderwritingRisk Modeling
Stay score
odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- You will work across the full model lifecycle, from research and data analysis to training, deployment, monitoring, and continuous improvement.
- Examples ML domains are: supervised and semi-supervised learning methods for inference on credit risk patterns;
- Identify and fix performance bottlenecks in ML training and inference (memory consumption, online latency, training time etc.);
Responsibilities
- Develop and maintain scalable production ML pipelines for feature engineering, model training, validation, and deployment.
- Collaborate with software engineers to integrate ML solutions into products and services;
- Collaborate with CreditOps and data teams to integrate effectively with current tools, and shape priority for future tools;
- Support and encourage good engineering practices on product ML teams;
Requirements
- You are a strong Python programmer and you have experience in Java.
- You have a strong understanding of good software engineering practices as well as data engineering and MLOps principles;
- You have strong familiarity with the standard data science toolkit in python, such as (py)spark, (Trino) SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow or similar MLOps frameworks, and Airflow;
- You have knowledge/experience of working with ML infrastructure components with tools such as k8s, docker, airflow, argo-workflows, prometheus, grafana
- You have an experimental mindset with a launch fast and iterate mentality;
- You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes over a wide range of audiences.
Nice to have
- You have experience on underwriting models or systems
- We actively seek different perspectives to sharpen our ideas.
- Our unique culture is a product of our diverse backgrounds and experiences.
- No matter who you are or where you're from, you're welcome to be your true self at Adyen.
- We encourage people from all backgrounds and abilities to apply.
- This is an exceptional opportunity to join a solid, established company with a startup mindset, characterized by small teams, direct communication, and work on important challenges.
- You'll have direct access to massive global datasets (e.g., payments, identity data) and the ability to see your team's work have an immediate impact at scale.
- You will be at the forefront of bridging ML and fintech, shaping how these two critical areas intersect.
Compensation
- The annual base salary range for this role is $297,000 - $401,000, plus RSUs; to learn more about our compensation philosophy, please click here.
Benefits
- You have 8+ years of experience as an engineer working in the machine learning domain;
- You have experience with the full machine learning model lifecycle in production flows;
- You have knowledge of data science, statistics and machine learning techniques;
Company info
- Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice.
- We are motivated individuals who tackle unique technical challenges at scale and solve them as a team.
- We offer an environment of ownership and speed, where a focused research team can make a significant difference.
- We are looking for engineers with a customer-problem-first mindset and experience building reliable ML systems in production.
This listing is sourced directly from Adyen's careers page and normalized into a canonical job model.