AI/Machine Learning Engineer jobs in United States
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DataVisor · 1 month ago

AI/Machine Learning Engineer

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. The AI/ML Engineer will serve as a technical architect for the Intelligence Layer and Data Consortium, focusing on building high-scale systems and pipelines to support real-time fraud intelligence and machine learning applications.

Artificial Intelligence (AI)Big DataCyber SecurityFraud DetectionMachine Learning
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Architect and maintain high-throughput data pipelines (using Spark, Kafka, or Flink) to ingest, process, and aggregate real-time signals—such as device fingerprints and behavioral biometrics—into our central intelligence graph
Optimize distributed systems to support our global data network, ensuring the platform can handle 10,000+ Transactions Per Second (TPS) with P99 latency under 150ms
Build agentic flows and AI applications by leveraging state-of-the-art, out-of-the-box LLMs (e.g., OpenAI, Anthropic, Google) to enable natural language interaction, intelligent rule merging, and automated fraud strategy recommendations
Deploy and maintain pipelines for both Unsupervised (UML) and Supervised (SML) models, integrating them with our API to enable real-time scoring and decisioning
Implement robust security measures, including tokenization and hashing, to ensure PII privacy and compliance across our shared intelligence network
Work closely with Data Science, Product, Strategy, Delivery, and Engineering teams to develop, validate, and optimize machine learning models and AI-driven features

Qualification

Machine Learning EngineeringData EngineeringDistributed Systems DesignPythonAWSContainerizationBig Data FrameworksCollaborationProblem Solving

Required

1-5 years of experience in Machine Learning Engineering, Data Engineering, or Backend Engineering
Proven ability to design distributed, cloud-native systems for high-throughput applications
Experience with AWS and containerization (Docker/Kubernetes) is critical
Strong hands-on experience with distributed data frameworks such as Spark, Kafka, or Flink
Production-grade skills in Python and at least one compiled language (e.g., Java or C++)

Preferred

Experience building or integrating LLM applications (LangChain, Vector DBs, RAG architectures)
Background in real-time decision engines or stateful stream processing
Knowledge of fraud or risk domains is a plus, but not required

Benefits

Comprehensive medical, dental, and vision coverage
401(k) retirement plan
Flexible Time Off (FTO) and paid holidays
Opportunities for R&D exploration and professional development
Regular team-building events and a collaborative, innovative culture

Company

DataVisor

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DataVisor is a fraud detection company powered by transformational AI technology.

H1B Sponsorship

DataVisor has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (6)
2023 (4)
2022 (8)
2021 (8)
2020 (13)

Funding

Current Stage
Growth Stage
Total Funding
$94.5M
Key Investors
HSGGenesis Capital
2022-12-14Series Unknown· $40M
2019-10-21Series C
2018-02-09Series C· $40M

Leadership Team

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Yinglian Xie
CEO and Co-Founder
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Fang Yu
Co-founder and CPO
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Company data provided by crunchbase