### **About us**
Radiant Security is the maker of the industry’s first AI SOC Analyst, which
uses Gen AI to emulate the experience, processes, and decision-making of top-
tier security analysts. With Radiant, alerts are sent to our AI analyst before
they go to the SOC. Each alert is subjected to dozens to hundreds of
dynamically selected tests used to determine maliciousness. Within 3 minutes
decision-ready results are available that include a detailed incident summary,
root cause analysis, and an incident specific response plan. This means, by
the time an analyst sees an incident they know if it was real, what happened,
what caused it, and have a plan to fix it. After reviewing the report,
analysts can respond manually using AI generated, step-by-step instructions on
how to respond to this incident, using single-click responses which run over
API connections to take corrective actions, or with fully automated response
that runs without human intervention. With Radiant, SOC teams detect more
attacks, respond more rapidly, and get more done.
### **About the role**
As a Machine Learning Engineer at Radiant Security, you'll be instrumental in
designing, developing, and deploying sophisticated AI systems. You will work
closely with a cross-functional team to build scalable, efficient, and agile
ML solutions that leverage the latest in LLMs, RAG, and more. This is a
fantastic opportunity to contribute to groundbreaking AI projects and see your
work make a tangible impact.
**This is a hybrid position and we are attending the offices 3 times a week.
We have offices in Pleasanton, California and São Paulo, Brazil.**
### **Responsibilities**
* Design and build scalable machine learning solutions for SaaS applications, focusing on accuracy, efficiency, reliability, and speed.
* Collaborate with the data scientists to refine algorithms and improve model performance based on real-world data and feedback.
* Participate in the entire project lifecycle from research and development to deployment and maintenance of ML models.
* Work on model serving, ensuring models are efficiently deployed and integrated into production environments.
* Manage databases and ensure the integrity and security of data used in training and running ML models.
* Keep abreast of the latest ML technologies and methodologies and propose innovative solutions to enhance project outcomes.
### **Qualifications**
* Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
* Proven experience in machine learning, data science, or AI development.
* Experience with machine learning lifecycle management and LLM deployment strategies
* Experience with SaaS platforms and cloud services (AWS, Google Cloud, Azure).
* Familiarity with cloud services (AWS, Azure, GCP) and managing ML applications in cloud environments
* Excellent problem-solving, analytical, and communication skills.
### **Preferred Qualifications**
* Experience with Large Language Models and Retrieval-Augmented Generation (RAG).
* Knowledge of LLM training and AI agents.
* Experience with model-serving technologies and services
* Experience with automation and orchestration tools, with a focus on enhancing the efficiency of ML workflows
* Prior work in deploying AI/ML models in a scalable, SaaS environment.
* Strong understanding of software development practices and experience with DevOps tools.
### **Salary range**
$150.000 - $180.000 (mid level) and $185.000 - $200.000 (senior level) yearly,
stock options
### **Benefits**
* Health, Dental, and Vision Insurance
* Stay Healthy subsidy (for gym and sports)
* Unlimited PTO
* Paid Paternity and Maternity Leave
Radiant Security participates in E-Verify for US employees. We will provide
the US Social Security Administration and the US Department of Homeland
Security with information from each new employee’s Form I-9 to confirm work
authorization. Please note that we do not use this information to pre-screen
job applicants.
