Head of Machine Learning SentiLink · Remote · US · Machine Learning Engineering $210,000–$260,000 5mo ago

Aimlroles

Northern (KY)

Hybrid

USD 210,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Employer paid group health insurance

401(k) plan with employer match

Flexible paid time off

Regular company-wide in-person events

Home office stipend

Job summary

SentiLink is seeking a Head of Machine Learning, Application Fraud to lead a talented team building fraud-detection models and risk-management products. You’ll own end-to-end development from data acquisition to deployment, mentoring scientists and collaborating with senior leadership.

The role focuses on production-grade ML, deep domain knowledge in fraud, Python/AWS, and strong communication in a fast-moving, collaborative environment across the US and India.

Qualifications

10+ years relevant work experience and a Master’s degree or 7+ years with a PhD.
4–7 years experience directly managing a team of data scientists.
3+ years of startup experience.
Excellent communicator and team player.
Proven track record solving complex business problems with DS/ML.
Experience in communicating outcomes to senior management.
End-to-end DS development: planning, success criteria, deployment.
Strong practical ML/stats knowledge; familiarity with SOTA ML is a plus.
Interest in fraud domain or willingness to learn.
Experience writing production code and tests.
Detail-oriented and reliable for business-critical decisions.
Thrives in fast-paced, open-ended problem-solving.
Bonus for identity/fintech familiarity.
Authorized to work in the United States and reside there.

Responsibilities

Directly manage a team of highly skilled data scientists. Start from 2-3 and grow to 5-6.
Act as a technical mentor with deep guidance.
Lead planning, resourcing and communications with senior leadership, product and engineering teams.
Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines.
Develop and maintain fraud detection models through the full model development lifespan.
Research new types of fraud and develop new SentiLink products around identity verification.
Iterate by integrating new data sources and innovative feature engineering.
Write production-ready code for real-time decisions.
Design, perform, and present analyses informing data acquisition, product development, risk ops, marketing, and sales.

Skills

Team leadership

Communication

Problem solving

Data science

ML expertise

Production coding

Strategic thinking

Education

Master's degree

PhD

Tools

Python

PostgreSQL

AWS

Job description

SentiLink stops more than 150,000 fraud attempts and verifies more than 3 million identities every day to protect both institutions and consumers. 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 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 Head of Machine Learning, Application Fraud at SentiLink, you will directly manage a team of talented data scientists that build our suite of products: models that identify fraudsters and also advance our growing suite of products in financial risk. In this capacity, you will be relied upon to be a technical leader, mentor, and owner of your respective domain, both for your own team and the organization. Utilize your abilities as a strong data scientist to mentor your team, probe their understanding and challenge them to do their best work. Your team will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. This role requires managing full-stack data scientists, whose work involves model development, analysis, and writing production code. You yourself should share that same skillset and be interested in having end-to-end ownership in 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.

Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

Responsibilities:

Directly manage a team of highly skilled data scientists. Start from 2-3 and grow to 5-6.
Act as a technical mentor that can dive deep and provide detailed direction.
Lead planning, resourcing and communications with senior leadership, product and engineering teams.
Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines.
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.
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.

Requirements:

10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD.
4-7 years experience directly managing a team of data scientists, ideally in a startup environment.
3+ years of startup experience.
Excellent communicator and team player.
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.
Thrives in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems.
Bonus for familiarity with: identity solutions, fintech, or adjacent industries.
Candidates must be legally authorized to work in the United States and must live in the United States.