Machine Learning Engineer

1 week ago


Tel Aviv, Tel Aviv, Israel Remitly Full time $120,000 - $150,000 per year

Category: Engineering

Job ID: R_103163

Job Type: Regular

Employment Type: Full time

Job Description:

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money— we're here to move our global customers forward.

We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career—we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

The team in Israel pushes forward and aims for the stars, an energy that has defined us since our early startup days. We hire talents who are passionate about building meaningful products and making a real impact on people's lives. We invest in promoting their career by providing opportunities, challenges, and a great flexible work environment.

The team in Israel pushes forward and aims for the stars. We hire top talents and invest in promoting their career by providing opportunities, challenges, and a great work environment that places an important emphasis on work-life balance.

About the Role:

We're looking for a Senior Machine Learning Engineer to design and build scalable ML models that power critical business decisions. You will focus on building ML expertise from experimentation to production in one or more areas that improve the company's overall ML strategy. This role is based in Tel Aviv and involves collaboration across global teams, requiring strong communication and coordination skills.

Responsibilities:

  • Build and deploy end-to-end machine learning solutions from research to production by leveraging advanced algorithms and mathematical techniques to deliver highly predictive models in the fintech space.
  • Design and run experiments to evaluate new data sources and continuously improve the performance of existing models.
  • Implement, maintain, and monitor production models using Remitly's machine learning platform, ensuring scalability, reliability, and long-term performance.
  • Evaluate model effectiveness both offline and in live environments, with a focus on real-world impact and business relevance.
  • Act as a technical leader, mentoring teammates, guiding design decisions, and collaborating with global cross-functional partners to drive ML initiatives forward.

Requirements:

  • MSc/Ph.D. in Statistics, computer science, data science or a related field
  • 5+ years of experience of exploring, building and deploying ML and data systems in production
  • Strong programming skills in Python focusing on ML frameworks such as Sklearn, XGBoost or TensorFlow
  • Experience with distributed and stream processing, Cloud ML infrastructure and feature store tools
  • Expertise in supervised and unsupervised machine learning models (e.g., classification, anomaly detection or clustering)
  • Experience writing code in Agile, CI/CD-based production environments
  • Proficient in communicating technical and research ideas and collaborating effectively across teams and organizational stakeholders
  • Experience in Fintech solutions is a big advantage
LI-hybrid

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team's specific needs. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

#Remitly-Israel

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.



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