Lead Machine Learning Engineer — Data Classification & Security

Symosis Security is hiring a Lead Machine Learning Engineer to lead an enterprise data classification engagement. The role combines hands-on classifier development and evaluation with technical leadership, client collaboration, and delivery of reliable engineering outcomes.

Responsibilities:

• Own the technical approach, implementation decisions, and engineering quality
• Build, configure, and improve classifiers within an existing enterprise framework
• Guide ground-truth development, performance evaluation, and error analysis
• Improve precision and recall through systematic tuning and testing
• Review code and oversee holdout validation, edge-case testing, and regression testing
• Work directly with client technical stakeholders to resolve implementation challenges
• Deliver maintainable code, configurations, technical documentation, and handoff materials
• Coordinate delivery priorities and mentor the engineering team

Requirements:

• 8+ years of relevant software or ML engineering experience, including technical leadership
• Demonstrated ownership of classification systems from evaluation through deployment
• Strong Python, SQL, debugging, code review, and automated testing skills
• Experience with rule-based and/or ML-based classification systems
• Practical understanding of precision, recall, sampling bias, overfitting, and validation
• Ability to work within existing enterprise codebases and toolchains
• Strong client communication and experience leading a small technical team
• Sensitive-data discovery, DLP, privacy engineering, security analytics, or content classification
• Building and operating classification systems at enterprise scale
• Prior experience at Google, Microsoft, Meta, Amazon, Apple, NVIDIA, Tesla, or a comparable technology organization