The Role: We are looking for a software engineer in the Machine Learning Platform team to join one of Lacework’s essential groups developing and optimizing machine learning platform services. The ideal candidate is a ML or software engineer who is passionate about machine learning, cloud security, and directly addressing customer-facing issues. This team focuses on delivering ML products while solving engineering challenges at scale. Given the fast-moving nature of this space, candidates should have a learner’s mindset. The responsibilities for this role include:  

• Develop an in-depth understanding of the Lacework platform and customer value proposition
• Understand the competitive product landscape and Lacework differentiation
• Drive projects/technical initiatives related to ML platform engineering 
• Influence and define delivery timelines in alignment with our field and product teams while balancing speed, accuracy and precision
• Build instrumentation, observability, and analytics into the machine learning services to support data-driven decisioning and incident response
• Work with leadership to track key performance, cost, and efficiency metrics as service level objectives (SLOs)
• Partner with our security efficacy team to mutually enhance our detection quality
• Build strong cross functional partnerships (ML research, data platform, cloud economics, etc)
• Demonstrate good communication skills and present work to company leadership and at company-wide events
• Actively participate in recruiting and mentor new members of the team
• Strive to use readily available, general and scalable methodologies and tools; stay current with latest tools and techniques

Minimum Qualifications

• Degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related field)
• 4+ years of experience with software development and deployment using modern cloud platforms
• Strong experience developing data-intensive applications
• Experience with developing machine learning applications
• Hands-on design and development of Go and/or Java-based microservices
• Exposure to modern software delivery release models and associated tooling (CI/CD, monitoring, observability) 
• Ability to deal with ambiguity, driving design and implementation to conclusion with limited supervision

Preferred Qualifications

• Advanced degree (Master’s or PhD or equivalent experience) in a quantitative field
• Experience of ML Ops and CI/CD integrations and tools  
• Experience with data processing/ML platform tools (sagemaker, tensorflow, spark, etc.)
• Familiarity with cloud-based data warehouses (snowflake, redshift, etc.)
• Familiarity with data streaming solutions (kafka, spark streaming, etc.
• Experience working in Cloud Security or Infrastructure Security
• Experience recruiting and mentoring other Engineers
• Cloud certifications or other demonstrable cloud domain knowledge

Salary Range: $137k - $300k USD Annually + Benefits + Bonus + Equity

Actual compensation may vary based on factors such as geographic location, work experience, education/training and skill level.