ML Engineer

About the role

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:

This role requires relocation to Manila. We work in a hybrid format from our office in Bonifacio Global City (BGC).

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 with teams across the business, including Risk, Anti-fraud, and Cross-sell

- 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.

- Experience with graph neural networks or transformer models would be a plus.

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