Staff Applied ML Scientist
SentiLink · Remote · United States ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Staff level role
- US-based only
- Python + AWS
- Fraud detection focus
- Full-time position
Join SentiLink to develop core machine learning products that prevent fraud and verify identities for major financial institutions. You will own your domain technically, working on high-visibility projects that require deep analysis and full-stack data science skills.
The team operates in a fast-moving environment where domain expertise drives development. You will collaborate across engineering and risk operations to research new fraud types and deliver production-ready solutions.
What you'll do
- Manage the full model lifecycle from data acquisition to monitoring
- Build foundational models for fraud and financial risk products
- Research new fraud types and develop identity verification products
- Write reliable production code for real-time decision making
- Present analyses to guide product, marketing, and sales strategies
- Collaborate with teams to ensure data quality and access
What you'll need
- PhD plus 6 years experience or Masters plus 8 years
- Proven track record solving complex business problems with ML
- Strong end-to-end data science development capabilities
- Experience writing production code and tests
- Must be legally authorized to work and live in the US
- Startup experience is strongly preferred
- Willingness to develop deep domain expertise in fraud
Nice to have
- Familiarity with identity solutions or fintech industries
- Experience with state-of-the-art ML solutions
Stack
- Python 3
- PostgreSQL
- AWS EC2
- AWS S3
- AWS RDS
- AWS Redshift
How you'll work
- Digital-first company with remote and office options
- Candidates must currently live in the United States
- Regular in-person events for team building
- Offices in major US cities and India
What you get
- Employer-paid group health insurance for dependents
- 401(k) plan with employer match
- Flexible paid time off
- Home office stipend provided
- Equity compensation included