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Fraud Analytics Developer Jobs

3 jobs found

14d ago

Machine Learning Engineer

GitHub, Inc. Remote 📍 United States Remote

Remote

14d ago

$108k - $286k/yr Full time Agentic Ai Ai Enabled Security Ai Security

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Job Description

GitHub is hiring an experienced Machine Learning Engineer to design, build, and deploy agentic LLM-based solutions that help detect and prevent fraud, abuse, and security threats at scale.

Responsibilities

Design, build, and deploy agentic LLM solutions for fraud, abuse, and security threat detection and prevention, including uses such as content classification and multi-step agentic investigations.
Develop production-grade systems that run reliably with high-volume event streams, leveraging AI coding assistants to accelerate and improve engineering output.
Build and operate scalable ML systems on cloud platforms (for example, Azure AI Foundry) to train, deploy, and serve models and agentic solutions in production.
Evaluate and improve models and agentic systems using offline evaluations, including tool-use loops and LLM-as-judge evaluation, plus performance metrics and feedback from production deployments.
Identify product vulnerabilities that enable abuse and provide consultation to product teams on reviewing new features.
Collaborate with cross-functional partners, including data scientists, software engineers, product managers, and content moderators, to integrate agentic solutions into production systems.
Document the systems you build and support the technical growth of peers.

Requirements

4+ years experience in machine learning or a related field.
OR a Bachelor’s Degree in Computer Science, Software Development, Electrical or Computer Engineering, Mathematical Sciences, or a related field, plus 2+ years experience in machine learning or a related field.
OR a Master’s Degree in Machine Learning, Computer Science, Software Development, Electrical or Computer Engineering, Mathematical Sciences, or a related field.
OR equivalent experience.
Strong understanding of large language models and hands-on experience applying them at scale, ideally for classification, agentic workflows, or agents.
Strong software engineering skills, including experience building with AI coding assistants.
Experience designing or evaluating agentic systems, such as tool-use loops, multi-step workflows, or LLM-as-judge evaluation.
Hands-on experience building and operating classification or detection systems at scale, including handling imbalanced data and precision/recall tradeoffs.
Experience in Trust and Safety, National Security, or fighting spam, malware, fraud, and threat actor activity at scale.
Experience with responsible AI and Safety-by-Design.
Experience managing user data and privacy.
Solid understanding of machine learning algorithms (including supervised and unsupervised learning and anomaly detection) and practical implementation.

Technologies

Large language models (LLMs)
Azure AI Foundry
Tool-use loops
LLM-as-judge evaluation
AI coding assistants
Machine learning
Precision/recall tradeoffs

What We Value

Collaboration
Empathy
Quality
Positive Impact
Shipping

Compensation

Base salary range: USD 107,700.00 - USD 285,900.00 per year

GitHub Leadership Principles

GitHub values: Customer-obsessed; Ship to learn; Growth mindset; Own the outcome; Better together; Diverse and inclusive
Manager fundamentals: Model; Coach; Care
Leadership principles: Create clarity; Generate energy; Deliver success

Location

Remote (United States)

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1mo ago

Machine Learning Engineer

Photon New Jersey

New Jersey

1mo ago Closed

Full time Python Advanced Analytics Ai Ml

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Photon seeks a skilled Machine Learning Engineer for an onsite role in New Jersey. The position focuses on designing and deploying analytics models through statistical and machine learning approaches, collaborating with product and engineering teams to solve complex business problems, and delivering end-to-end ML solutions in production using Python, Spark, and Databricks.

Responsibilities

Assess business use cases and design analytics models using statistical and machine learning methods tailored to specific requirements.
Develop machine learning algorithms to personalize customer experiences and generate actionable business insights.
Apply data mining and ML techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection.
Augment company data with third-party sources to broaden analytics capabilities.
Improve data collection processes to capture information essential for analytics systems.
Prepare raw data for analysis, including cleaning, imputing missing values, and standardizing formats using Python data frameworks (Pandas, NumPy).
Implement ML models with attention to performance and scalability using PySpark in Databricks.
Design and build infrastructure to support large-scale data analytics and experimentation.
Utilize tools such as Jupyter Notebooks for data exploration and model development.

Requirements

Bachelor's or graduate degree in Computer Science, Mathematics, Physics, or related fields; PhD preferred but not required.
Minimum five years of experience in data analytics with a strong understanding of core statistical algorithms, including classification and regression.
Strong experience with Python-based machine learning libraries such as scikit-learn, TensorFlow, and PyTorch.
Proficiency with analytics platforms like Databricks for large-scale data processing.
At least four years of continuous experience with Spark, particularly PySpark.
Hands-on experience with data processing and analysis tools including Pandas, NumPy, and Jupyter Notebooks.

Technologies

Python
Spark
Databricks
Pandas
NumPy
Jupyter Notebooks
PySpark
scikit-learn
TensorFlow
PyTorch

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1mo ago

Data Engineer

Information Technology Senior Management Forum Bloomington, IL 🇺🇸 Remote

Bloomington, IL

1mo ago Closed

$153k - $153k/yr Full time Big Data Claims Data Pipelines Data Analysis

This position is no longer accepting applications (closed Aug 22, 2026).

Job Description

Data Engineer role focused on designing and implementing complex knowledge graph structures to support claims investigations and fraud detection using advanced graph analytics, with responsibilities spanning data engineering, ETL, DataOps, and cross functional collaboration; remote option in the United States.

Responsibilities

design and build sophisticated knowledge graph architectures to improve claims investigations and fraud detection through graph analytics
work with cross functional teams to enable data driven decision making and drive innovation
apply standard languages and frameworks across coding, testing, security, DevOps, DataOps and data engineering using graph database technologies
create and maintain reusable, scalable data solutions that comply with regulations across multiple platforms and compute environments
identify, acquire, cleanse, profile, and ETL data used for analytic discovery and production deployments across diverse platforms
develop domain understanding of existing State Farm data sources and assess, propose, and initiate acquisition of data resources (internal and external)
evaluate emerging technologies and critical core systems, advising on techniques, tools, data sources, and platforms in the data engineering space
handle datasets that include both structured and unstructured data
embrace a DataOps mindset to ensure data meets enterprise needs and automate delivery of high quality data solutions
collect and analyze customer requirements, propose solutions, and craft implementation and integration plans (including technical proposals)
oversee the analysis, design, deployment, support, and security of technology to efficiently manage data assets in line with best practices and regulatory requirements
apply advanced computer science principles to develop robust data engineering solutions

Requirements

Bachelor’s degree or foreign equivalent in Computer Science or a closely related field
At least five years of experience in the offered role or in similar positions such as Specialist Programmer, Machine Learning Engineer, or Graph Data Engineer
Five years of experience with graph database systems (Neo4j or Amazon Neptune) and Cypher query language
Five years of experience with distributed computing frameworks, including Apache Spark
Five years of experience with programming languages such as Python or Java, plus Scala
Five years of experience with containerization and orchestration (Docker, Kubernetes), including experience with Graph Algorithms Libraries and Neo4j GDS

Technologies

Neo4j
Amazon Neptune
Cypher
Apache Spark
Python
Java
Scala
Docker
Kubernetes
Graph Algorithms Libraries
Neo4j GDS

Benefits

Competitive pay with eligibility for annual raise and bonus
Comprehensive health and wellbeing programs with most premiums covered; multiple plan options including a high deductible plan; 100 percent in network preventative care; vision, dental, telemedicine, mental health support, and more
Educational benefits including industry leading training, tuition assistance, employee resource groups, and mentoring
Fertility, IVF, and adoption assistance; college coaching; financial workshops; free financial coaching; access to savings and credit union options
Generous time off and parental leave options, paid holidays, life leave, bereavement, and community support days
Matching Gift Program, Good Neighbor Grant Program, and Employee Assistance Fund
401(k) plan with company contributions up to 7 percent and access to free financial advisors

Salary

USD 152,734 per year

Type

Full-time

Location

Bloomington, IL (remote)

Job ID

44799

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