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Join the Affirm team as a Machine Learning Engineer II and contribute to the success of our ML Underwriting team. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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2+ years of experience as a machine learning engineer or PhD in a relevant field. As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. We are the driving force behind Affirm's core value proposition, leveraging cutting-edge machine learning to assess creditworthiness throughout the life cycle of loan applications.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience developing machine learning models at scale from inception to business impact. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Persistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm! ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm. Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Affirm is proud to be a remote-first company! Employees new to Affirm or promoted into a new role, typically begin in the min to mid range. Domain knowledge in credit risk is a plus. Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience using large scale distributed systems like Spark or Ray. We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. Strong engineering skills in Python and data manipulation skills like SQL.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The ability to present technical concepts and results in an audience-appropriate way. Your contributions will be instrumental in shaping our financial landscape. Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Implement and scale data pipelines, new features, and algorithms that are essential to our production models. Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The majority of our roles are remote and you can work almost anywhere within the country of employment. A limited number of roles remain office-based due to the nature of their job responsibilities. Collaborate with the engineering, credit, and product teams to define requirements for new products.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams.
$124,900 - $208,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
machine learning jobs Title: learning Company: Affirm
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Virtual Reality Job Interviews
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A Potential TikTok Ban?!
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One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.