Staff Machine Learning Engineer (AI)

TL;DR

Staff Machine Learning Engineer (AI): Architecting and designing generalizable ML systems to address critical gaps in message security detection with an accent on behavioral analysis, natural language understanding, and deep learning. Focus on shaping ML architecture, evolving global model training paradigms, and creating centralized ML capabilities for large-scale enterprise protection.

Location: Remote (USA)

Salary: $229,500–$270,000 USD

Company

hirify.global is a leading cybersecurity startup leveraging behavioral AI to protect large enterprises against evolving attack techniques.

What you will do

• Serve as a technical leader and subject matter expert for ML workstreams, providing architectural guidance and mentorship.
• Architect and design generalizable ML systems to address critical gaps in detection capabilities.
• Define the architectural vision for integrating different classes of detection models (heuristic, behavioral, deep learning).
• Drive the technical roadmap for foundational, long-term ML projects, including global model training paradigms.
• Own the end-to-end ML lifecycle: from data analysis, feature engineering, and model prototyping to productionization and monitoring.
• Investigate complex model performance issues and refine automated model retraining and evaluation pipelines.

Requirements

• 8+ years of experience designing and building high-impact, customer-facing machine learning applications.
• Proven experience working on ML at scale with direct product impact in mature ML industries.
• Strong grasp of theoretical limitations of deep learning models and a systematic approach to debugging.
• Demonstrated experience in the productionization of large-scale ML models in fast-feedback environments.
• Ability to reason about abstract system gaps and propose generalizable, architecturally sound ML solutions.
• Expertise across the entire ML lifecycle, from data exploration to online scoring.
• Fluency in Python and ML frameworks like Scikit-learn, PyTorch, or TensorFlow.

Nice to have

• MS or PhD degree in Computer Science, Electrical Engineering, or related fields.
• Experience leading multi-quarter, cross-functional ML projects.
• Experience with MLOps tools and building scalable data pipelines.

Culture & Benefits

• Opportunity to work on a world-class detector efficacy system using novel behavioral-based AI.
• Compensation packages include base salary, bonus, restricted stock units (RSUs), and benefits.
• Commitment to protecting privacy with secure hiring practices.
• hirify.global is an equal opportunity employer.

Hiring process

• Conducts video interviews and validates applicant identity at various stages.
• Conditional offers require successful completion of pre-employment checks.
• All processes align with prevailing legislation and hirify.global's security and privacy standards.