Fraud Detection

Fraud Detection Developer Jobs

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Today

Machine Learning Engineer

GitHub, Inc. Remote 📍 United States Remote

Remote

Today

$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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2mo ago

Senior Machine Learning Engineer, E-Commerce Risk Control

TikTok San Jose, CA

San Jose, CA

2mo ago Closed

$187k - $360k/yr Full time Advanced Analytics Ai Ml Analytics

This position is no longer accepting applications (closed Jul 15, 2026).

Job Description

Senior ML engineer on TikTok's E-Commerce Risk Control team focused on building and deploying models to mitigate e-commerce risks while advancing privacy, interpretability, and governance.

Responsibilities

Invent, implement, and deploy advanced machine learning algorithms, build prototypes, and explore novel solutions to mitigate business risks in TikTok e-commerce platforms, including fraudulent merchants, cheaters among influencers, malicious users, information security issues, and cross-domain risk challenges.
Utilize representation learning, graph models, deep learning, transfer learning, and multi-task learning to enhance problem detection efficiency and rapidly block risks, optimizing key metrics across the e-commerce community ecosystem.
Monitor and attribute metrics to quickly detect shifts in risk and business trends, proactively identify potential attacks, refine risk control strategies, and drive governance improvements and business model enhancements.
Mine and analyze large-scale e-commerce content and user behavior data to build short-term and long-term user profiles, improve model precision and recall, and boost robustness, automation, and generalization capabilities.
Advance risk ML capabilities in privacy, compliance, interpretability, and risk perception; develop models and algorithms tailored to content e-commerce and construct an industry-leading risk control algorithm system.

Requirements

Master’s degree in Computer Science, Mathematics, Machine Learning, or related STEM fields.
3+ years of hands-on experience building and delivering machine learning models for large-scale projects at internet companies.
Proficiency in C++/Java/Python with strong coding skills, plus familiarity with at least one common ML or deep learning platform.
Solid understanding of supervised learning, unsupervised learning, and deep learning, with the ability to build business algorithms using relevant techniques.
Analytical, data-driven mindset with the ability to work autonomously and communicate results clearly.

Technologies

Python
C++
Java
LLM

Benefits

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time (prorated at hire with tenure-based accruals)
Additional discretionary bonuses and incentives
Restricted stock units

About the Team

The E-Commerce Risk Control team focuses on minimizing damage from inauthentic behaviors on TikTok E-Commerce platforms, covering account integrity, incentive abuse, malicious activity, brushing, click-farms, information leakage, and related risk areas.

About USDS

TikTok USDS Joint Venture LLC is dedicated to the safety and security of Americans who create, discover, and connect with what they love on the apps we operate.
The Joint Venture was established in compliance with the Executive Order signed by President Trump on September 25, 2025.
Our foundation is a comprehensive data privacy and cybersecurity program to safeguard national security and US user data, apps, and the algorithm.
We safeguard the US content ecosystem and hold decision-making authority for trust and safety policies and moderation.
USDS Joint Venture helps ensure Americans can express creativity, discover interests, and build communities and businesses globally.
On-site presence across teams supports speed, alignment, and agility in real-time decision-making and integrated execution.
The company is shifting from a hybrid model to a fully in-person schedule up to five days a week.

Why Join Us

TikTok aims to inspire creativity by enabling authentic expression, discovery, and connection, supported by global, diverse teams.
We value curiosity, humility, and impact, treating challenges as opportunities to learn and innovate as one team, with an Always Day 1 mindset.
Diversity and Inclusion: TikTok commits to an inclusive space that values diverse voices and perspectives to reflect the communities we reach.

USDS Reasonable Accommodation

USDS provides reasonable accommodations in recruitment for candidates with disabilities or other protected reasons. If you need assistance, reach out at https://tinyurl.com/USDS-RA

Job Information

Location: San Jose, CA (onsite)
Base salary range: $187,040 - $359,720 annually
Compensation may vary based on qualifications, skills, competencies, experience, and location; base pay may be eligible for discretionary bonuses/incentives and restricted stock units
Benefits on day one include medical, dental, and vision insurance, 401(k) with company match, paid parental leave, disability coverage, life insurance, wellbeing benefits, among others
Ten paid holidays, ten paid sick days, and 17 days of Paid Personal Time, prorated on hire with tenure-based accruals
Company reserves the right to modify or change benefits programs at any time

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Fraud Detection Developer Jobs

Machine Learning Engineer

Senior Machine Learning Engineer, E-Commerce Risk Control

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