Senior Machine Learning Engineer, Horizon3
Applied AI
+ Equity
Autonomous security solutions
Open for applications
Autonomous security solutions
201-500 employees
Open for applications
+ Equity
201-500 employees
Company mission
To help find and fix attack vectors before attackers can exploit them.
Role
Who you are
- 8+ years in software development with strong mathematical or statistical background
- 3+ years proven track record building and deploying AI/ML solutions in live environments
- Expert-level Python programming abilities
- You’ve shipped and maintained AI/ML systems, not just built prototypes, and ideally in multiple domains
- Demonstrated interest in cybersecurity and penetration testing
- Knowledge of AI frameworks and machine learning libraries (such as TensorFlow, PyTorch, Hugging Face, OpenAI APIs, and LangChain)
- Experience with ML data preprocessing techniques including normalization, feature engineering, and dataset preparation for model training and fine tuning
- Experience with cloud AI platforms such as AWS Bedrock, AWS SageMaker, and Azure AI, with ability to implement and optimize solutions across environments
- Strong analytical skills and ability to clearly communicate complex security concepts
- Comprehensive understanding of various database technologies, including relational and non-relational systems
- Outstanding problem-solving aptitude, a “hacker mindset”
- Be self-motivated and highly energetic to have the ability to operate effectively with limited supervision and guidance
- Strong technical documentation and communication skills
- Ability to manage concurrent initiatives and use effective judgment in prioritization and time management
- Excellent analytical/problem solving ability
Desirable
- Background in training specialized machine learning models for security purposes
- Experience with and understanding of AI-specific vulnerabilities
- Background in AI security offense, testing AI system vulnerabilities, or creating automated security solutions powered by artificial intelligence
- Previous experience analyzing security using large language models, conducting penetration testing
- Experience with AI red teaming or learning model vulnerabilities
- Demonstrated examples of exploiting AI-specific vulnerabilities
- Previous experience analyzing security using large language models, conducting penetration testing enhanced by AI technologies, and researching machine learning weaknesses and countermeasures
- Experience identifying attack paths across full-stack environments
- Background in application security testing, penetration testing, or offensive security
- Understanding of web application security fundamentals
- Certification(s) demonstrating cybersecurity expertise such as OSCP, CISSP, GPEN, Security+, LPT, or CEH
What the job involves
- We're looking for a Senior Machine Learning Engineer with deep experience deploying emerging AI technology in production and a demonstrated interest in security
- You will have a major impact in how we add value to our customers by using emerging AI technologies and exposing their vulnerabilities
- You will lead the creation of innovative AI solutions from specifically designing systems for offensive security operations to building and enhancing our autonomous offensive testing capabilities that identify vulnerabilities across the entire AI application stack and output
- This position requires practical expertise in creating, implementing, launching, machine learning systems and an interest in attacking them
- Build sophisticated AI systems capable of discovering vulnerabilities and streamlining penetration testing methodologies
- Research and implement AI-driven vulnerability detection and exploitation methods
- Automate exploitation workflows using AI technologies
- Lead complete development lifecycles for AI features from concept through deployment
- Design and implement advanced testing capabilities that detect vulnerabilities in AI-native applications
- Research and target emerging attack vectors specific to applications developed with AI and implement detection methods
- Implement scalable solutions that can use AI to exploit traditional CVEs, credential-based attack paths, and data pilfering vectors
- Guide technical conversations, assess code quality, and facilitate design meetings while sharing knowledge to enhance team capabilities
- Support and guide less experienced team members, fostering their professional development
Our take
In an era marked by escalating cyber threats and data breaches, safeguarding digital assets has become a high priority across all industries. Amid this landscape, Horizon3.ai stands out as an autonomous security solution by addressing the critical need for robust cybersecurity.
At the heart of Horizon3.ai's mission is NodeZero™, a platform designed to elevate proactive security measures. Using this, customers can verify their security posture and identify potential vulnerabilities through self-service. This proactive approach to cybersecurity effectively thwarts potential exploits and ensures the integrity of their digital infrastructure.
With 2025 funding in hand, the company is poised to further its ambition to develop into an industry-leading cybersecurity company. The infusion of funds will be channelled towards expanding its partner network, refining its offerings and entering the US government market. Horizon3 aims to establish itself as a pivotal player in the evolving autonomous security landscape, a highly lucrative market valued at $80 billion.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2025
$100m
SERIES D
Aug 2023
$40m
SERIES C
Total funding: $187m
Company benefits
- Growth Opportunities: Be part of a dynamic and growing team with numerous career advancement opportunities
- Innovation-Driven Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking
- Flexible Work Environment: Enjoy the convenience and work-life balance that comes with remote work
- Inclusive and Diverse Team: We value diversity and promote an inclusive culture where everyone can thrive
Company HQ
SoMa, San Francisco, CA
Leadership
Snehal Antani
(Co-Founder & CEO)Graduated from the Rensselaer Polytechnic Institute with an MS in Computer Science. Previously worked at IBM as a Lead Architect, at GE Capital as the CIO of Distribution Finance and Splunk as the SVP & GM of Business Analytics & IoT.
Anthony Pillitiere
(Co-Founder)Graduated from the University of Maryland with a Bachelor's Degree in Computer Systems Networking and Telecommunications. Previously worked at the United States Air Force in multiple roles, including Deputy Chief Technology Officer.
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