Senior Engineering Manager, Applied Machine Learning
Tasks
- Build experimentation frameworks
- Collaborate with product and security research
- Create data pipelines for telemetry
- Design evaluate and validate detection models
- Develop production machine learning models
- Drive model experimentation and evaluation methods
- Influence applied machine learning product roadmap
- Lead machine learning team
- Operationalize model lifecycle and monitoring
- Translate machine learning capabilities into detection signals
Perks/Benefits
- 401k employer match
- EAP
- Educational reimbursement
- FSA and Dependent Care Accounts
- Flexible PTO
- Health, dental, and vision benefits
- Hybrid and remote work model
- Paid volunteer time
- Parental leave
- Pet insurance
Skills/Tech-stack
800-53 | AWS | Anomaly Detection | Behavioral Modeling | Data Pipelines | Detection Systems | Docker | Experimentation | FedRAMP | Incident Response | Intrusion Detection | Intrusion detection systems | Kubernetes | Lifecycle Management | Machine Learning | Model Lifecycle | Model Lifecycle Management | Model Validation | Monitoring | NIST SP | NIST SP 800 | NIST SP 800-53 | Network telemetry | SP 800-53 | Statistics | Threat detection | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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