ML Engineer

• Remote work is possible, preferred time zones GMT+5 to GMT+10

• Location: Manila, Philippines, Relocation visa sponsorship.

We’re looking for a curious and impact-driven Machine Learning Engineer to join our team and accelerate the development of robust, high-performing ML solutions across key business areas—including credit scoring, collection, antifraud, sales and other.

This role combines hands-on development with strategic input, offering a chance to work on high-stakes, high-visibility projects from day one, collaborating with multiple departments and stakeholders to drive measurable business impact through better models

Preference will be given to candidates open to relocating to Manila; remote work is also possible with an initial working trip to Manila for 1–2 months

Responsibilities:

• Own the end-to-end lifecycle of ML models: from EDA, feature generation, and hypothesis testing to production deployment and monitoring

• Evaluate model performance and business impact, and iterate for continuous improvement

• Explore and integrate new data sources (internal and external), identifying additional predictive signals

• Contribute to advancements in modeling techniques, including geospatial and graph-based methods where relevant

What we expect from candidate:

• 2+ years of experience as a Machine Learning Engineer or Data Scientist, ideally in fintech or fast-paced product environments

• Strong skills in Python and SQL; comfortable using Git

• Solid foundation in classical ML techniques and Statistics; fluency in libraries, such as Pandas, Scikit-learn, NumPy, SciPy, Matplotlib/Seaborn/Plotly, Statsmodels, XGBoost/LightGBM/CatBoost etc.

• Experience in credit risk modeling is a plus

• Background in graph ML and/or experience with advanced geospatial analytics is an advantage

• Experience working with AWS (or other cloud environments) is a plus

Why would it be cool to work with us?

What we create

• Modern banking services for millions of Filipinos

• Cutting-edge solutions based on the best world practices and AI implementation

• Licensed neobank aiming to be a unicorn and leading fintech in the fast-growing region of Southeast Asia

• An environment that allows you to launch new products in 3-4 months

• A basis for expanding into new markets all over the world

What we offer

• Passionate international team spanning the globe

• Rapid professional growth. Merit (and merit only) rules the day

• Reward for performance and long-term success of Salmon

• Fast track to grow internationally

• New office in Manila, Philippines

• Relocation support for eligible candidates

• Remote and hybrid options

• Medical insurance, health and wellness benefits

• Program of events and activities both online and in person