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Senior Machine Learning Engineer (Seattle or Us Remote)
Posted on 3/31/2022
Seattle, WA, USA
Experience Level
Desired Skills
Apache Spark
Data Analysis
Data Structures & Algorithms
  • PHD 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
  • Experienced Software Engineer, with proficiency in systems design and data processing. Candidates should have hands-on experience with Python and ML libraries (e.g., scikit-learn, scipy, numpy, matplotlib, pandas etc), SQL, and Spark
  • You're motivated by creating a meaningful impact for our customers and business. You're excited to take on a variety of tasks to help your product and team be successful
  • Experience making tough technical tradeoffs. You sweat the details to understand the impacts of these tradeoffs and find a careful balance between short-term outcomes and long-term effects
  • 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 Fraud engineering team to guarantee a robust pipeline of new features to add to implement
  • Mentor other MLEs and Data Scientists to elevate the overall expertise of the team
  • Collaborate with leadership to set our ML Program and strategy vision
  • Report to the Director of Fraud Prevention

1,001-5,000 employees

Company Overview
Remitly is a mobile payments service that enables users to make person-to-person international money transfers.
  • Continuing Education or Travel Stipend
  • Office Culture
  • Flexible PTO, Schedules and Leaves
  • DEI Learning Opportunities
  • Community Engagement
  • Inclusive Benefits
Company Values
  • Customer centricity: We are here to listen to, learn from and serve our customers. Period.
  • Deliver on promises: We help our customers deliver on their promises by keeping our promises. We are accountable for our commitments, no matter how small.
  • Hire & develop exceptional people: We hire unique and diverse talent who embrace challenges and grow on the job. We coach and invest to help every employee succeed.
  • Act with integrity: We have zero tolerance for unethical people, products, practices or partners.
  • Sweat the details: We roll up our sleeves and stay connected to the details. We don’t settle for “good enough”.
  • Data driven: We attempt to measure everything, then use qualitative and quantitative insights to make better decisions.
  • Bias for action: We urgently prioritize and act. A good decision now is better than a great decision later. When necessary, we disagree and commit.
  • Be an owner: We think, act and take responsibility beyond our immediate team and role, to benefit our customers, colleagues and the broader business.
  • Aim for the stars: We dream big, think long term, and create amazing customer experiences.
  • Continuously improve: We are humble, curious and self-driven learners. We work hard to find the “best” way to do something, then keep trying to find an even better way.
  • Don't be afriad to fail: We are purpose-driven and don't let fear impact our decisions or actions. When experiments fail or we make mistakes, we learn fast, openly share our learnings, and jump right back in.
  • Lead authentically: Everyone is a leader. We are open, self-aware, and enthusiastically share knowledge and context to help others succeed.