Senior Machine Learning Engineer Seattle OR U.S. Remote at Remitly #vacancy #remote

Remitly is on a mission to transform the lives of immigrants and their families by providing the most trusted financial products and services on the planet. Since 2011, we have been tirelessly delivering on our promises to immigrants sending their hard earned money home. Today, we are reimagining international payments at scale and building new products to create deeper relationships with our customers and their loved ones across the globe. Join over 2,700 employees across 10 offices who are growing their careers while having a positive impact on people globally. About the Role: Machine learning is at the center of fraud prevention at Remitly. You will develop models for assessing the riskiness of every customer and transaction at Remitly. You will work with engineers on the scoring and machine learning platform teams to ensure your models meet latency and uptime requirements. You’ll work with Data Scientists to understand fraud trends and develop new modeling and feature strategies to stay ahead of fraudsters and organized crime. You Will: Build models that make automated decisions on billions of dollars worth of international money transfers Build machine learning models that detect malicious activity and actors in our system Work with the ML infrastructure team to ensure models can meet latency and uptime requirements Work with the engineers on the scoring engineering team to guarantee a robust pipeline of new features to add to implement. Mentor other MLEs and Data Scientists to improve the expertise of the team Collaborate with leadership to set our ML Program and strategy vision Report to the manager of the Scoring Machine Learning team. You Have: Bachelor’s degree in a quantitative field or equivalent experience 5+ years experience building production Machine Learning systems (experience with classification problems preferred) Knowledge of both the theory and application of ML algorithms Hands-on experience with Python and ML libraries (e.g., scikit-learn, scipy, numpy, matplotlib, pandas), SQL, and Spark. Our Benefits Flexible paid time off Health, dental, and vision benefits + 401k plan with company matching Company contributions to your HSA or FSA plan, if you choose one Employee Stock Purchase Plan (ESPP) available for eligible employees Continuing education and corridor travel benefits Remitly is an Equal Opportunity Employer . Equal employment opportunity has been, and will continue to be, a fundamental principle at Remitly. We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman’s potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law. Remitly is an E-Verify Employer Compensation Details. The starting base salary range for this position is typically $159,090 -$189,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Matplotlib scikit-learn pandas NumPy SQL Python Apache Spark Machine Learning SciPy

Leave a Reply