AI Engineer II

SE-II AI Engineer  (Data Science)

Experience: 2–5 years
 

About the Team

The AI Center of Excellence team includes Data Scientists and AI Engineers that work together to conduct research, build prototypes, design features, and build production AI components and systems. Our mission is to leverage the best available technology to protect our customers' attack surfaces.

We partner closely with Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection. We operate with a creative, iterative approach, building on 20+ years of threat analysis and a growing patent portfolio. We foster a collaborative environment focused on learning, mentorship, and practical impact.

If you’re early in your data science career and excited to work on real-world AI systems in cybersecurity, this is your opportunity.
 

The technologies we use include:

• Python for analysis and modeling using numpy, pandas, and scientific computing libraries

  
  

• Jupyter notebooks (local & remote)

  
  

• scikit-learn for machine learning

  
  

• Anomaly detection for large-scale unlabeled data analysis

  
  

• LLM/GenAI toolchains: HuggingFace, Transformers, LangChain (foundational exposure)

  
  

• AWS cloud ecosystem, especially SageMaker, Bedrock, Lambda, S3

  
  

• Basic exposure to agentic AI concepts and LLM workflows

  
  

• CI/CD pipelines for ML/LLM workloads (GitHub Actions, Jenkins)

  
  

• Monitoring and observability tools (CloudWatch, dashboards)

  
  

About the Role

Rapid7 is seeking an SE-2 Data Scientist to join our AI Center of Excellence as we expand our AI and MLOps capabilities. This role is focused on building strong data science fundamentals, contributing to ML and LLM workflows, and learning how production AI systems are built and operated at scale.

This role is ideal for someone who is:

• building depth in core data science and machine learning,

  
  

• gaining hands-on experience with AWS-based ML systems, and

  
  

• developing familiarity with LLMs and agentic AI concepts.

  
  

In this role, you will:

• Work on data acquisition, cleaning, enrichment, and transformation

  
  

• Build and evaluate supervised ML models (classification, regression)

  
  

• Apply unsupervised ML techniques such as clustering and anomaly detection

  
  

• Contribute to deep learning models (NLP, CNNs, RNNs) under guidance

  
  

• Assist in developing malware detection and user behavioral models

  
  

• Contribute to LLM-based workflows, including prompt engineering and basic RAG pipelines

  
  

• Use existing CI/CD pipelines for training and deployment of ML/LLM models

  
  

• Support model deployment on AWS SageMaker, Bedrock, and Lambda

  
  

• Monitor model performance using established dashboards and alerts

  
  

• Collaborate closely with senior data scientists and engineers to ship features

  
  

The skills you’ll bring include:

Core

• 2–5 years of experience as a Data Scientist or ML Engineer

  
  

• Strong Python skills with Pandas, NumPy, scikit-learn

  
  

• Solid understanding of:

  
  

• feature engineering

  
  

• supervised and unsupervised ML

  
  

• model evaluation metrics

  
  

• Exposure to deep learning frameworks (PyTorch / TensorFlow)

  
  

• Basic familiarity with model explainability (SHAP, LIME)

  
  

• Working knowledge of AWS ML services (SageMaker, S3, Lambda)

  
  

• Strong learning mindset and collaborative attitude

  
  

Agentic AI & LLM (Foundational Exposure)

• Familiarity with LLM concepts and prompt engineering

  
  

• Exposure to LangChain or similar frameworks

  
  

• Awareness of RAG pipelines and agent-based workflows

  
  

Experience with the following would be advantageous:

• Exposure to cybersecurity or malware datasets

  
  

• Working knowledge of ML/LLM CI/CD pipelines

  
  

• Basic understanding of monitoring and retraining workflows

  
  

We know that the best ideas and solutions come from multi-dimensional teams. That’s because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don’t be shy - apply today.
About Rapid7

At Rapid7, we are on a mission to create a secure digital world for our customers, our industry, and our communities. We do this by embracing tenacity, passion, and collaboration to challenge what’s possible and drive extraordinary impact.

Here, we’re building a dynamic workplace where everyone can have the career experience of a lifetime. We challenge ourselves to grow to our full potential. We learn from our missteps and celebrate our victories. We come to work every day to push boundaries in cybersecurity and keep our 10,000 global customers ahead of whatever’s next.

Join us and bring your unique experiences and perspectives to tackle some of the world’s biggest security challenges.

At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what’s possible and drive extraordinary impact. We’re building a dynamic and collaborative workplace where new ideas are welcome.

Protecting 11,000+ customers against bad actors and threats means we’re continuing to push the envelope just like we’ ve been doing for the past 20 years. If you ’re ready to solve some of the toughest challenges in cybersecurity, we’re ready to help you take command of your career. Join us.