ML Engineer

ML Engineer
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll own ML models across credit scoring, collection, and antifraud, turning data into systems that directly shape how Salmon lends and collects at scale. What you'll do: You'll build and ship ML models across credit scoring, collection, antifraud, and sales — high-stakes, high-visibility work from day one. You'll work directly with Collection, Product, and other cross-functional teams to find where a better model moves the business. You'll take models from idea to production, then keep monitoring and improving them as real data comes in. What you'll own: Own the end-to-end lifecycle of ML models — EDA, feature generation, hypothesis testing, production deployment, and monitoring. Partner with Collection and Product to identify where a new or improved model would have the most leverage. Evaluate model performance against business impact, and iterate based on what you find. Explore and integrate new data sources, internal and external, to surface additional predictive signals. Build models that are scalable, observable, and maintainable in production systems. What makes you a strong fit: 2+ years of experience as a Machine Learning Engineer or Data Scientist, ideally in fintech or fast-paced product environments. Solid foundation in classical ML techniques, fluent in Pandas, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Statsmodels, and gradient boosting libraries (XGBoost, LightGBM, CatBoost). Strong Python and SQL, with experience using version control. A strong sense of ownership and accountability. What we offer: Ownership and flexibility Hybrid-first work environment Company-provided tools and equipment Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene Health and time off Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits Access to an internal mental health support specialist 22 vacation days, Philippine public holidays, and 15 sick days 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila Relocation and family support Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics Reimbursement of eligible pet relocation expenses USD 2,500 per year for flights home Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 Growth and team experience Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications Company-sponsored trips to Manila to meet and work with your team in person Regular team offsites, sports activities, and team events High-performing teams can earn a dedicated beach house week in Southeast Asia