Staff AI Engineer - Data Science

Staff AI Engineer - Data Science

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, sharing knowledge, developing internal learning, and encouraging research publication. If you’re passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity.

The technologies we use include:

• AWS for hosting our research environments, data, and features

• EKS to deploy applications

• Terraform to manage infrastructure

• Python for analysis and modeling, taking advantage of numpy and pandas for data wrangling.

• Jupyter notebooks (locally and remotely hosted) as a computational environment

• Sci-kit learn for building machine learning models

• Anomaly detection methods to make sense of unlabeled data

About the Role

Rapid7 is seeking a Staff AI Engineer to join our Data Science team as we expand and evolve our growing AI and MLOps efforts. You should have a strong foundation in applied AI R&D, software engineering, and MLOps and DevOps systems and tools. Further, you’ll have a demonstrated track record of taking models created in the AI R&D process to production with repeatable deployment, monitoring and observability patterns. In this intersectional role, you will combine your expertise in AI/ML deployments, cloud systems and software engineering to enhance our product offerings and streamline our platform's functionalities.

In this role, you will:

• Work with security partners to define, scope and design research efforts for new detections or security management features

• Work with data scientists on the team to develop plans to execute research, mentoring not only data science methods, but also on project and collaboration challenges

• Build, validate, and continuously improve machine learning models, manage concept drift, and ensure the reliability of deployed systems

• Partner with stakeholders and subject matter experts to evaluate performance

• Collaborate with engineering partners to ship features based on vetted research

• Grow your security knowledge, data analysis skills, mentoring capabilties and collaborative partnerships and customer impact

• Embrace agile development practices, valuing constant iteration, improvement, and effective problem-solving in complex and ambiguous scenarios

The skills you’ll bring include:

• 8 + years experience as a Data Scientist or Statistician

• Relevant experience in predictive modeling, anomaly detection, including recent Python experience with an ability to design and lead projects

• Expertise with tools such as Jupyter, pandas, sci-kit learn, git, Sagemaker and AWS services

• A demonstrable passion for data analysis

• A collaborative approach to complex problem solving and mentoring

• A strong sense of ownership and responsibility for the quality of the analysis and code you create

• A growth mindset - welcoming the challenge of tackling complex problems with a bias for action

• Strong written and verbal communication skills - able to effectively communicate technical concepts to diverse audiences and creating clear documentation of system architectures and implementation details

• Proven ability to collaborate effectively across engineering, data science, product, and other teams to drive successful Data Science initiatives and ensure alignment on goals and deliverables.

Experience with the following would be advantageous:

• Experience in the security industry

• AI and ML models, understanding their operational frameworks and limitations

• Deploying resources that enable data scientists to fine tune and experiment with LLMs

• Implementing model risk management strategies, including model registries, concept/covariate drift monitoring, and hyperparameter tuning

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.

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