Senior Applied ML Scientist
At a glance
Senior AI Research role at SentiLink. Remote, United States · full-time · $200,000–$240,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and oversee fraud models from data sourcing and feature design through training, launch, and performance checks
- Create core models for fraud and financial risk offerings, using new data and inventive features to improve them
- Investigate emerging fraud patterns and turn findings into identity verification products
- Write dependable production code for partners’ real-time decisions and test it
- Present analysis that guides data sourcing, product work, risk operations, sales, and marketing
What you bring
- A relevant PhD plus at least four years of related work, or a relevant master’s degree plus six years
- A record of using data science or machine learning to solve complex, high-visibility business problems
- Strong practical machine learning and statistics skills, plus experience delivering solutions from planning through production or strategy materials
- Experience writing production code and tests, and communicating progress and outcomes to senior stakeholders
Who this fits
You’ll suit a senior, hands-on scientist who wants end-to-end ownership, builds production systems, and is ready to develop deep expertise in a product area. The role is remote within the United States, and you must live there and be legally authorized to work there.
From the employer
SentiLink helps institutions and protects customers by accurately resolving identities and flagging fraud risk. Each day, we verify more than 3 million identities, flagging 150k+ fraud attempts in the process. The problems we work on are challenging, and solving them takes deep domain expertise, rigorous analysis, and a willingness to dig into the details.
At SentiLink, you'll work alongside smart, highly collaborative colleagues who respect each other's time and judgment, take ownership, and follow through on their commitments. Together, we do truly meaningful work protecting the identities of innocent consumers and flagging the fraudsters attempting to exploit them.
We're well capitalized and growing quickly. We already serve 13 of the top 15 U.S. banks, we're expanding into new markets, and we're backed by Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We've been named to the Forbes Fintech 50 and as a 2026 FICO Industry Vanguard Decision Award Winner. We were also the first company to go live with the electronic Consent Based Social Security Number Verification (eCBSV) service, and we've testified before the U.S. Congress on the future of identity.
We want SentiLink to be the best place you've ever worked. We offer generous benefits and support a range of working arrangements, from fully remote to in-office. We are a digital-first company with strong collaboration across the U.S. and India, and we meet in person regularly to build relationships. We have offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India.
Role:
As a Senior Applied ML Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. As an experienced researcher you will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.
We have open roles on multiple teams including:
Emerging Products - focuses on 0-to-1 development of new offerings brought to market
Application Fraud - analyzes the foundational elements of consumer financial applications to detect all forms of fraud
Identity - resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information
Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)
Responsibilities:
Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
Research new types of fraud and develop new SentiLink products around identity verification.
Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
Write production-ready code that can be relied on for real-time decision making by our partners.
Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access
Requirements:
4+ years relevant work experience & relevant PhD or 6+ years & relevant Masters
Proven track record of solving complex / high profile business problems with DS / ML solutions
Experience in communicating outcomes / progress to senior management / stakeholders
Very strong in “end to end” DS development: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc)
Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus
Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is
Experience writing production code and tests
Detail oriented and thoughtful - someone we can rely on to make business-changing decisions
Bonus for familiarity with: identity solutions, fintech, or adjacent industries
Experience working at a startup strongly preferred
Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems.
Candidates must be legally authorized to work in the United States and must live in the United States
Salary Range:
$200,000/year - $240,000/year + equity + benefits
Perks:
Employer paid group health insurance for you and your dependents
401(k) plan with employer match (or equivalent for non US-based roles)
Flexible paid time off
Regular company-wide in-person events
Home office stipend, and more!
Corporate Values:
Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart