S
$180,000 – $220,000
Listed on SentiLink’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
SentiLink seeks an applied machine learning scientist to develop and deploy fraud detection models across their identity verification platform, working on production systems that serve hundreds of millions of identities. This role suits early-career researchers or recent PhD graduates who want hands-on experience shipping ML models in a real-world financial risk setting rather than purely academic research.
Our summary, not SentiLink’s wording. The full posting is on their site.
Skills this role names
Log in to see which of these are already on your profile.
What they ask for
Required
- Bachelor's, Master's, or PhD in Statistics, Computer Science, Physics, Mathematics, or related quantitative field
- Strong foundation in machine learning, statistics, or applied data science
- Experience with Python and data science tools
- Ability to analyze complex problems and build data-driven solutions
- Strong communication skills
- Write clean, maintainable code
- Legally authorized to work in the United States
- Live in the United States
Nice to have
- Interest in learning about fraud, identity, and financial risk systems
- Experience with PostgreSQL or AWS infrastructure