Senior Machine Learning Engineer

Posted 3 Days Ago
Be an Early Applicant
Seattle, WA
180K-225K Annually
Senior level
eCommerce • Fintech • Payments • Software • Financial Services
We provide trusted digital financial services to our customers and recipients in over 170 countries across the globe.
The Role
As a Senior Machine Learning Engineer, you will develop and optimize machine learning systems for fraud prevention, mentor peers, and ensure model reliability.
Summary Generated by Built In

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:

The Trust Machine Learning team protects Remitly's customers by developing intelligent systems that prevent fraud. These systems assess the risk of every transaction and customer interaction, while minimizing the impact on user experience and customer trust.

As a Senior Machine Learning Engineer, you will build feature engineering pipelines by integrating with rich data sources, optimize model performance by exploring new techniques and algorithms, and ensure the quality of live production models.

You will report to the Manager of Trust Machine Learning. This is a role with hybrid work schedule (2-3 days in office) to support team collaboration and is based in Remitly's office in Seattle, Washington.

You Will:

  • Build scalable, reliable feature engineering pipelines for batch, streaming, and real-time features consumed by a diversity of machine learning models
  • Design, implement, and maintain machine learning models and systems to identify risky transactions and behavior, mitigating platform abuse
  • Optimize model performance, ensuring system reliability and model monitoring by championing MLOps best practices
  • Lead and mentor peers through regular design reviews, architectural discussions, code reviews, and other technical activities

You Have:

  • (A degree in computer science, data science, statistics, or related field (or equivalent experience)
  • 5+ years of experience building and deploying machine learning and data systems
  • 5+ years of programming experience in Python, Go, Scala, or equivalent
  • 2+ years of experience using machine learning tools and frameworks (e.g., PyTorch, TensorFlow, or equivalent)
  • 2+ years of experience with distributed or stream processing frameworks (e.g., Apache Spark, Apache Flink, Ray)
  • Experience working with cloud platforms (e.g., AWS, GCP, Azure) and infrastructure-as-code (e.g., Terraform)

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 + 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 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.

Top Skills

Apache Flink
Spark
AWS
Azure
GCP
Go
Python
PyTorch
Ray
Scala
TensorFlow
Terraform

What the Team is Saying

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Colleen
David
Harry
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The Company
HQ: Seattle, WA
2,700 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

Since 2011, Remitly has been tirelessly delivering on our promises to our customers sending their hard earned money home. Today, we are incredibly proud to have served millions of customers globally. We strive daily to meet our promise to our customers by building peace of mind into everything we do. Join over 2,700 employees across 10 offices who are growing their careers while having a positive impact on people globally.

Why Work With Us

We are united through our vision to transform lives with trusted financial services that transcend borders. We accomplish our vision by relentlessly focusing on culture via our cultural values. That starts with putting customers at the center of everything we do, and includes investing in the growth & development of our team.

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Remitly Teams

Team
Product & Tech
About our Teams

Remitly Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

As a global team, we are connected through our customers, and vision – not our location. Our employees can live and work with flexibility, while prioritizing in-person touchpoints to come together for moments that matter.

Typical time on-site: Flexible
HQSeattle, WA
Amsterdam, NL
Arlington, VA
Cork, IE
United Arab Emirates
Kraków, PL
London, GB
Manila, PH
New Westminster, BC
Spokane, WA
Tel Aviv-Yafo, IL
Learn more

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