Senior Software Engineer - Machine Learning Platform
Seattle Washington, United States
Full Time Senior-level / Expert USD 180K - 225K
Remitly
Transfer money internationally to 170+ countries and 100+ currencies with no hidden fees. Receive funds securely using convenient delivery options.Job Description:
Remitly's vision is to transform lives with trusted financial services that transcend borders. Since 2011, we have been tirelessly delivering on our promises to people who send money around the world. Today, we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need, no matter where they call home. Join over 2,700 employees worldwide who are growing their careers with purpose and connection with our customers while having a positive impact on millions of people around the globe.About the Role:
Our ML platform is designed to provide comprehensive machine learning solutions, encompassing a range of services from the feature store and real-time model serving to data exploration notebooks and model training pipelines, all within Remitly's ecosystem. As an engineer on the Machine Learning (ML) platform team, you will be the backbone of our feature store. You will ensure and high-quality feature availability for our ML models, working with data scientists, ML engineers, and other partners. You will report to the Machine Learning Platform Engineering Manager. This position is based in our Seattle office.
You Will:
- Build production systems that provide data derived results in realtime or batch
- Partner with Economists, Analysts, and Engineers to build the strategies and products that power our pricing engine
- Design the future of our ML feature, training, and serving systems
- Have a significant impact on Remitly's bottom line
- Improve our ML platform ensuring better data product delivery throughout the entire organization
You Have:
- 4+ years of experience working with data that feeds machine learning models.
- Experience with large-scale data processing systems like Apache Spark and Flink.
- Familiarity with feature store concepts and experience building and maintaining feature stores.
- Practical knowledge building ML models to solve industry problems
- Built or worked with ML feature stores and autonomous training and validation pipelines
Compensation Details. The starting base salary range for this position is typically $180,000-$225,000. 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.
Our Benefits:
- Flexible paid time off
- Health, dental, and vision benefits + 401k plan with company matching
- Paid parental, medical, military and family care leave.
- Mental Health & Family Forming Benefits
- Employee Stock Purchase Plan (ESPP)
- Continuing education and corridor travel benefits
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
Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Tags: Engineering Flink Machine Learning ML models Model training Pipelines Spark
Perks/benefits: 401(k) matching Career development Equity Flex hours Flex vacation Health care Medical leave Parental leave
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