Senior Machine Learning Engineer, Financial Products

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title. Must not include Job ID etc. Must remove boilerplate (EEO, legal, etc). Must preserve all substantive info. We need to parse the posting. Key sections: - About the role: description of Financial Products org, building ML engineering team, role description. - Responsibilities: list of duties: "Develop and maintain scalable production ML pipelines for feature engineering, model training, validation, and deployment." Then bullet list: 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.); 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/Qualifications/Skills: The posting has "Who You Are" list of required experience, plus "Nice To Have". We need to decide which sections to include. The instructions: Use headings for section headings (About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We can combine similar info. Probably we should have Requirements (mandatory) and Nice To Have could be Skills? Or we could put Requirements for mandatory, Qualifications for education? There's no explicit education. Could put Skills for technical stack. Let's interpret: - Requirements: mandatory experience (5-7+ years, Python, Java, full ML lifecycle, big data pipelines, software engineering practices, data science/statistics/ML techniques, familiarity with standard data science toolkit, knowledge of ML infrastructure components, experimental mindset, proactive lead, stakeholder communication). - Qualifications: maybe education? Not present. Could skip. - Skills: could list the specific tools/languages: Python, Java, (py)spark, Trino SQL, Tensorflow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow, Airflow, k8s, docker, argo-workflows, prometheus, grafana. - Benefits: The posting mentions "annual base salary range for this role is $227,500 - $317,000, plus RSUs". That's Pay. Also mentions "We offer an environment of ownership and speed...". Also mentions "global mobility", "relocation conversations". Also mentions "We are an office-first company and value in-person collaboration; we do not offer remote-only roles." That's schedule? Not exactly. There's no explicit benefits like health, etc. But we can include Pay section with salary range and RSUs. Also maybe Benefits: mention "environment of ownership and speed", "access to massive global datasets", "ability to see immediate impact", "opportunity to join solid established company with startup mindset", "direct access to massive global datasets", "ability to see your team's work have an immediate impact at scale", "We offer an environment of ownership and speed, where a focused research team can make a significant difference." Also "While this is a San Francisco-based role, we recognize that global mobility matters—especially for candidates navigating complex situations. Adyen has deep roots in Europe and a strong global presence, and we’re open to future relocation conversations to our offices in Amsterdam or Madrid if that better supports your personal or professional goals in the future." That could be Benefits or maybe Schedule? Not schedule. Schedule: Not mentioned besides office-first, in-person collaboration, no remote-only. Could be considered schedule: office-based, in-person. But the instruction: never create Pay/Schedule/Benefits sections unless the posting actually states them. It does state location and office-first, which could be schedule (work arrangement). Might include Schedule: "Based out of San Francisco office; office-first; in-person collaboration; no remote-only roles." That is specific. Benefits: Could include "environment of ownership and speed", "access to massive global datasets", "ability to see immediate impact", "global mobility", "relocation conversations", "RSUs". But RSUs already in Pay. Might still include Benefits: "ownership and speed environment", "access to massive global datasets", "immediate impact at scale", "global mobility", "potential relocation to Amsterdam/Madrid". However we need to avoid filler like "not specified". These are specific. We must not repeat job title. Must not include boilerplate like EEO, diversity statements, legal, etc. Also remove duplicated lines, navigation, cookie, etc. Also remove "What’s next?" etc. Also remove "Diversity, Equity, and Inclusion at Adyen" etc. Also remove "Why Adyen?" maybe we can keep some content if it's substantive about benefits? The "Why Adyen?" paragraph includes some benefits: "exceptional opportunity to join a solid, established company with a startup mindset... direct access to massive global datasets... ability to see your team's work have an immediate impact at scale... environment of ownership and speed... focused research team can make a significant difference... forefront of bridging ML and fintech... eager to stay connected to edge of ML innovation while ensuring practical value...". That's substantive and could be part of Benefits or maybe a separate section like "About the team". But we only have allowed headings. Could incorporate into Benefits or About the role. Since About the role already covers role description, we could add some of that to About the role. But we must not invent headings. We'll keep About the role as given. Responsibilities as list. Requirements as list. Skills as list. Pay as salary+RSUs. Benefits as environment, data access, impact, global mobility, relocation. Schedule as office-first, in-person, no remote. We must ensure we don't include filler like "commensurate with experience". Not present. Now produce HTML fragment:

About the role

... (paragraph)

Responsibilities

• ...
...

Requirements

• ...
...

Skills

• ...
...

Pay

The annual base salary range for this role is $227,500 - $317,000, plus RSUs.

Benefits

• Environment of ownership and speed, with small teams and direct communication.
• Direct access to massive global datasets (payments, identity data) and ability to see immediate impact at scale.
• Opportunity to work on important challenges that bridge ML and fintech.
• Global mobility: openness to future relocation conversations to Amsterdam or Madrid offices.

Schedule

Based out of the San Francisco office; office‑first with in‑person collaboration; remote‑only roles are not offered.

We need to ensure we didn't include any boilerplate. Also ensure we didn't repeat job title. Good. Now check that we preserved all substantive information: Let's verify. From posting: - About the role: we captured description of Financial Products org, building ML engineering team in SF focused on Credit Risk Modeling for Underwriting within Financial Products. Team will develop models, scorecards, production systems to scale credit products 100x. As Senior ML Engineer you will design, productionize, operate ML models and rule-based decision systems that power credit products. Work across full model lifecycle, from research and data analysis to training, deployment, monitoring, continuous improvement. Ideal engineer combines strong ML and production engineering experience with sound judgment in high-integrity financial systems. Help build continuous data flywheels that improve underwriting decisions while balancing rapid product innovation with robustness, explainability, and global scale. Looking for engineers with customer-problem-first mindset and experience building reliable ML systems in production. Will work closely with product, engineering, risk, and data teams to deliver underwriting capabilities for world’s leading businesses. Our About the role paragraph should include that. Let's craft a concise but comprehensive paragraph. - Responsibilities: we captured bullet list from "Develop and maintain scalable production ML pipelines..." plus the examples. - Requirements: we captured the "Who You Are" list. - Skills: we captured the tool list. - Pay: captured salary range plus RSUs. - Benefits: captured environment, data access, impact, global mobility, relocation. - Schedule: captured office-first, in-person, no remote. We omitted some details like "Nice To Have" items: experience on underwriting models or systems, experience with ML Feature Store. Those are nice-to-have; we could include them under Skills or Requirements? The instruction: we should not invent sections; we could add them to Skills as nice-to-have. But we already have Skills list; we could add those as separate bullet points. However they are not mandatory; but still substantive. We could include them under Skills as "Nice-to-have: experience on underwriting models or systems; experience with ML Feature Store." That would preserve info. Also we omitted "You have experience working with a wide range of stakeholders and can clearly communicate complex outcomes over a wide range of audiences." That's a requirement; we included stakeholder communication in Requirements. We omitted "You have an experimental mindset with a launch fast and iterate mentality; You proactively take the lead in projects, from ideation to deployment." Included. We omitted "You have experience leveraging big data to create the pipelines needed to feed the models with appropriate data;" included. We omitted "You have a strong understanding of good software engineering practices as well as data engineering and MLOps principles;" included. We omitted "You have knowledge of data science, statistics and machine learning techniques;" included. We omitted "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;" included. We omitted "You have knowledge/experience of working with ML infrastructure components with tools such as k8s, docker, airflow, argo-workflows, prometheus, grafana" included. We omitted "While this is a San Francisco-based role, we recognize that global mobility matters—especially for candidates navigating complex situations. Adyen has deep roots in Europe and a strong global presence, and we’re open to future relocation conversations to our offices in Amsterdam or Madrid if that better supports your personal or professional goals in the future." included in Benefits. We omitted "Our aim is to build a lasting foundation for you at Adyen—starting in San Francisco, but with the flexibility to adapt as life evolves." Could be part of Benefits but maybe not needed. It's somewhat vague but still substantive. Could add to Benefits: "flexibility to adapt career path with potential relocation to other Adyen offices." But we already have relocation. Might be okay. We omitted "Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply." That's EEO-ish, maybe remove as boilerplate? It's encouraging underrepresented groups; could be considered EEO. The instruction says remove EEO/equal-opportunity/scam-warning boilerplate. So we should remove that. We removed "Diversity, Equity, and Inclusion at Adyen" etc. We removed "Why Adyen?" but we kept some of its content in Benefits. That's okay. We removed "What’s next?" etc. We removed "Our interview process tends to take about 4 weeks..." etc. That's application instructions, remove. We removed "Don’t be afraid to let us know if you need more flexibility." etc. We removed "Adyen is an equal opportunity employer..." etc. We removed "San Francisco Pursuant to the San Francisco Fair Chance Ordinance..." etc. We removed "We are an office-first company and value in-person collaboration; we do not offer remote-only