Applied ML Scientist, New Grad

SentiLink
United States
Workplace: RemoteFull timeUSD 120,000 - 220,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Python","PostgreSQL","AWS","Machine learning","Data analysis","Statistics"]

As an entry-level ML scientist, you will build fraud-detection models and contribute to a growing suite of financial risk products, applying ML from research to production. You’ll own end-to-end work across data sourcing, feature engineering, model development, deployment, and analysis, collaborating with teams across the company in a fast-paced environment.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
SentiLink
SentiLink
5 months ago

Applied ML Scientist, New Grad

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

As an entry-level ML scientist, you will build fraud-detection models and contribute to a growing suite of financial risk products, applying ML from research to production. You’ll own end-to-end work across data sourcing, feature engineering, model development, deployment, and analysis, collaborating with teams across the company in a fast-paced environment.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Graduate level

Key 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.

Pay and Benefits

Salary: USD 120,000 - 220,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kHome OfficePaid Leave

Key Requirements

  • •Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research.
  • •Strong foundation in machine learning, statistics, or applied data science.
  • •Experience with Python and common data science tools through coursework, research, internships, or personal projects.
  • •Demonstrated ability to analyze complex problems and build data-driven solutions.
  • •Candidates must be legally authorized to work in the United States and must live in the United States.
Experience:FraudRiskIdentityMLData science
Skills:PythonPostgreSQLAWSMachine learningData analysisStatistics
Languages:English
Tech Stack:PythonPostgreSQLAWSEC2S3RDSRedshiftAIML

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

SentiLink
Provides machine learning-based identity verification and fraud prevention solutions to financial services companies, helping detect synthetic identities, account takeover, and payment fraud to reduce losses and onboarding risk.
Industry: Cybersecurity
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Funding: Series C
Headquarters: San Mateo, United States
Founded: 2017
WebsiteLinkedIn