Adyen
Machine Learning Engineering Manager, Credit & Underwriting
San Francisco · Mid
Stay score
odds of building a lasting career here
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
$36,643 more — $248,643 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $248,643 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer and Information Systems Managers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer and Information Systems Managers (11-3021) · 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
- Your team will work across the full model lifecycle, from research and data analysis to training, deployment, monitoring, and continuous improvement..
- Set clear individual and team goals that align with our strategic engineering ambitions in close collaboration with the product manager.
Responsibilities
- Lead the Credit Risk Modeling team with hands-on technical leadership, driving architecture strategy and raising the bar through active mentoring and technical guidance.
- Work cross-functionally with Design, Product, Data Engineers, Product engineers, Credit Ops and other key stakeholders.
- Have a multiplier effect by motivating team members and providing coaching in areas including but not limited to: engineering best practices, scalable architecture design, product roadmap discussions.
- Maintain an inclusive team culture focused on autonomy, ownership, collaboration, communication, and impact.
- Collaborate with different teams to design and implement new pipelines/services with reliability/infra/data/dev in mind.
- Create an inspiring and collaborative team environment with an open communication/feedback culture.
Requirements
- 7+ years of experience in a ML/AI tech environment.
- Experience with Credit Underwriting.
- No matter who you are or where you're from, you're welcome to be your true self at Adyen.
- 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.
- No matter who you are or where you're from, we welcome you to be your true self at Adyen.
- Recruit new team members who align with the Adyen culture and required skills.
- You are an energetic self-starter experienced in creating alignment between multiple teams.
- You have experience in coaching and mentoring engineering talent.
- You have experience in leading technical projects in a fast paced and critical environment.
- You have experience collaborating with senior leadership to set strategic direction including product roadmaps.
Compensation
- The annual base salary range for this role is $212,000 - $293,000 plus RSUs; to learn more about our compensation philosophy, please click here.
Benefits
- You have proven experience working with, and deep understanding of machine learning products.
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.
- Diversity, Equity, and Inclusion at Adyen We actively seek different perspectives to sharpen our ideas.
This listing is sourced directly from Adyen's careers page and normalized into a canonical job model.