Manager, Machine Learning Engineering, Checkout
Overview
Affirm is hiring a Manager for Machine Learning Engineering within its International Credit Machine Learning group. The person in this role will manage a team of machine learning engineers responsible for building the models that power credit lending decisions across Europe and Australia. Responsibilities include shaping technical strategy, defining solutions, collaborating across product development teams, and mentoring engineering talent.
Who can apply
Candidates must hold a Bachelor degree in a technical field and bring at least 8 years of industry experience, which includes a minimum of 3 years of managing engineers. Applicants need a background in financial services, specifically focusing on credit and lending. Proficiency in machine learning is required, along with experience in deep learning, tree-based models, transformers, and agentic machine learning. Strong engineering skills, the capability to offer hands-on technical leadership, and comfort working within ambiguous environments are also necessary.
What you get
The position offers a base pay range of 142000 to 190000 GBP per year. The total compensation package includes equity rewards through an employee stock purchase plan, monthly stipends for technology, health, and wellness spending, and 100 percent subsidized medical, dental, and vision coverage for employees and their dependents. Additionally, the role includes flexible time off and holiday calendars.
How to apply
Interested candidates can apply by submitting their application through the designated process provided by the employer.
About Affirm
Affirm is an American financial technology company and point-of-sale lender, headquartered in San Francisco, California. It was founded in 2012 by PayPal co-founder Max Levchin together with Nathan Gettings, Jeffrey Kaditz and Alex Rampell. The company offers unsecured instalment loans at checkout, including buy now, pay later options, and also provides a debit-style card and a savings account.
Official website · Source: Wikipedia