Director, Machine Learning Platform & Modeling

Lacework

United States of America
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 04/05/2021
  • Website: lacework.com
  • Company Address: 700 E El Camino Real Suite 130, Mountain View, CA, 94041

About Lacework

Lacework delivers threat/anomaly detection and compliance across multicloud environments, workloads, containers and K8s.

Job Description

Role Overview:
The Director of Machine Learning Platform & Modeling will drive strategic programs related to Lacework’s core capabilities in AI-based cloud security. The team is responsible for the end-to-end implementation of high-velocity machine learning pipelines, tooling to facilitate rapid model development, a multi-faceted behavioral anomaly detection engine, and a robust roadmap of forward-looking opportunities to expand our core differentiators. 

Company Overview
Lacework’s unified cloud security platform provides unprecedented visibility, automates intrusion detection, delivers one-click investigation, and simplifies cloud compliance across AWS, Azure, and GCP, providing a comprehensive view of risks across cloud workloads and containers.

About the Role:

  • Lead a team to develop and implement a robust ML platform and family of models that can support rapid implementation of new AI-based approaches to cloud security.
  • Evolve and mature the core behavioral-based anomaly detection (Polygraph) to support new cloud datacenter paradigms.
  • Working with the product teams and architects, define the roadmap for the team that balances the outside-in perspective against the inside-out, while also finding harmony between tactical and strategic solutions.
  • Adopt and customize leading open-source frameworks, e.g., Kubeflow and MLflow, to leverage existing solutions while tailoring capabilities to Lacework’s stringent and specific ML needs.
  • Design core ML infrastructure for model versioning, customer-specific model customization, pre-deployment testing, and performance tracking to meet the rigorous requirements demanded by the high-stakes security domain.
  • Expand ML applications throughout the organization by reducing the barrier to entry for deploying and maintaining new ML models and developing easy-to-use and general-purpose infrastructure.
  • Operationally support the use of ML models in a production environment, focusing on observability and predictive indicators to maintain stringent SLOs for Lacework customers.
  • Partner with quality engineering and DevOps to improve both agility and quality of the Lacework product, supporting rapid CI/CD and infrastructure-as-code constructs to automate everything from testing to production delivery.

About You:

  • 2-4 years leading ML platform and/or data modeling teams in an external-customer-facing context.
  • 6+ years experience leading engineering teams (Ideally within the SaaS / big data space).
  • 5-7 years of hands-on experience with data modeling and analysis, especially with distinctive data sources in both relational and non-relational paradigms.
  • Must have demonstrated ability to design for scalability, performance, and reliability.
  • Working knowledge/experience with modern cloud deployment models (including containers, object stores, secrets & access managers, etc)
  • MS or Ph.D. in computer science or similar.
We are a small and dynamic team – join us and be part of the three fastest-growing enterprise software markets: cloud, security, and machine learning.

Lacework supports Green Card and H-1B sponsorship. We also have an office in Vancouver and sponsor Canadian work permits/permanent residence. 

Lacework is an Equal Opportunity Employer. It is the policy of Lacework to provide equal employment opportunity to all persons, regardless of age, race, religion, color, national origin, sex, political affiliations, marital status, non-disqualifying physical or mental disability, age, sexual orientation, membership, or non-membership in an employee organization, or on the basis of personal favoritism or other non-merit factors, except where otherwise provided by law.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.