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Machine Learning Engineer

Machine Learning Engineer

AiPriseSan Jose, CA, United States
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This range is provided by AiPrise. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$75,000.00 / yr - $150,000.00 / yr

About AiPrise

AiPrise is a global compliance orchestration platform helping fintechs, marketplaces, and payment companies verify and onboard customers worldwide. We integrate with 80+ identity and compliance vendors to deliver a holistic view of risk. We’re now building AI-powered compliance agents to revolutionize KYB, AML, sanctions screening, and risk scoring — enabling our customers to onboard faster, reduce manual reviews, and prevent financial crime.

Role Overview

We’re looking for a Machine Learning Engineer to lead the development of our AI compliance agent from prototype to production. This role will own the design, development, and deployment of ML / NLP systems for KYB verification, sanctions / PEP screening, adverse media analysis, and merchant risk scoring , tightly integrated with our case management and orchestration platform.

You will work closely with our compliance, product, and engineering teams to ship a high-accuracy AI agent in 3 months and scale it globally in 9 months .

What You’ll Do

  • Design & Build Core AI Modules
  • Develop NLP pipelines for adverse media monitoring and summarization across multiple languages.
  • Implement entity resolution models to auto-clear false positives in sanctions / PEP checks.
  • Build AI-driven document understanding for KYB documents (e.g., corporate registrations, licenses).
  • Create a unified risk scoring model combining KYB, AML, and contextual data.
  • Deploy & Scale
  • Architect models for low-latency, high-throughput processing at scale.
  • Monitor production performance, ensuring accuracy, speed, and cost-efficiency.
  • Continuously retrain and refine models based on feedback and evolving risk patterns.

Must-Have

What We’re Looking For

  • 6+ years of experience in ML engineering or applied data science, with a focus on NLP or compliance / fraud / risk systems.
  • Strong proficiency in Python, PyTorch or TensorFlow, and modern NLP libraries (e.g., Hugging Face Transformers, spaCy).
  • Experience building named entity recognition (NER), entity resolution, and text classification systems.
  • Familiarity with LLMs and prompt engineering for compliance / risk use cases.
  • Experience deploying ML models to production (preferably in AWS / GCP).
  • Strong understanding of data pipelines, APIs, and microservices.
  • Proven ability to translate business requirements into technical ML solutions.
  • Nice-to-Have

  • Experience in RegTech, FinTech, AML, KYC / KYB, or fraud detection.
  • Knowledge of vector databases (Pinecone, Weaviate, etc.) for semantic search.
  • Familiarity with multi-language NLP for global coverage.
  • Experience with graph databases for UBO mapping and relationship risk analysis.
  • Success in This Role Looks Like

  • In 3 Months : A production-ready AI agent for onboarding compliance that’s integrated with our case management, delivering explainable KYB, sanctions, and adverse media insights to analysts.
  • In 9 Months : A fully scaled AI compliance agent handling risk scoring, ongoing monitoring, and merchant risk analysis for multiple enterprise customers, reducing manual reviews by 70%+.
  • Why AiPrise

  • Build mission-critical AI that directly fights financial crime and fraud globally.
  • Work with massive, diverse datasets from 200+ countries.
  • Join a fast-moving YC-backed startup with global customers like Meta and leading fintechs.
  • Ship quickly — your models will be in production in weeks, not years.
  • Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Engineering and Information Technology

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