Remitly is looking for an experienced Machine Learning Engineer to build large scale systems that propel their next phase of growth, aiming to transform lives by providing trusted financial services that transcend borders.
Requirements
- 5+ years delivering Machine Learning systems in production.
- Strong programming skills in Python, Go, Scala or a similar language.
- Hands-on experience with ML frameworks (e.g., PyTorch, scikit-learn, numpy).
- Experience working with major cloud platforms (AWS, GCP, or Azure).
- Experience with one or more of Deep Learning algorithms, Large Language Models, Casual Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable.
Responsibilities
- Lead the end-to-end ML lifecycle from raw data to EDA to model training to offline/online evaluation and model deployment.
- Design, build, and scale feature pipelines for batch and real-time ML applications.
- Partner with data scientists, product owners, and engineers across verticals to turn prototypes into reliable, customer-facing ML systems.
- Optimize models and pipelines using MLOps best practices: automated retraining, drift detection, CI/CD, monitoring, observability.
- Mentor and lead other engineers: champion design reviews, technical discussions, and maintain a high bar code quality.
Other
- Degree in Computer Science, Data Science, Statistics, Mathematics or equivalent practical experience.
- 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.
- 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
