ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
Wise
The Lead Machine Learning Engineer will own the evolution of ML experimentation tooling and label quality for Wise's Servicing tribe, driving high‑priority projects from proof‑of‑concept to production. The role involves collaborating with data scientists and engineers, managing stakeholder expectations, and delivering scalable ML infrastructure and tooling on AWS.
Headquarters
London, England, United Kingdom
Company Size
1001-5000 employees
Founded
2011
Wise is a fintech company that provides low-cost international money transfers and multi-currency accounts for individuals and businesses. It uses the mid-market exchange rate with transparent, upfront fees and offers features like local bank details in multiple currencies, a multi-currency debit card, batch and business payments, and an API for automated payouts. Wise operates globally under multiple financial licences, focusing on speed, transparency and lower fees than traditional banks. Founded in 2011 (formerly TransferWise), it serves millions of customers worldwide.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Wise.
Wise didn’t post a salary, so this is our estimate from similar listings.
15% below the average for this role