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Staff Machine Learning Software Engineer

  • Develop and oversee implementation of strategic AI roadmaps aligned with organizational objectives and deliver innovative solutions for complex business challenges
  • Direct cross functional collaboration, building strong relationships to drive impactful outcomes and influence enterprise strategies
  • Lead multiple AI focused initiatives, ensuring operational efficiency, resource optimization, and alignment with corporate strategic plans
  • Provide strategic direction and leadership to teams, ensuring successful execution of high impact AI projects and contributing to long term objectives
  • Manage AI Engineering initiatives of significant complexity, applying advanced technical expertise to solve abstract problems
  • Make independent decisions on program, technical or operational strategy for the department
  • Drive innovation across areas of responsibility identifying opportunities for operational changes and practices
  • Lead cross functional collaboration efforts, fostering strong internal relationships across the organization and external relationships to drive business outcomes

Requirements

  • Bachelor's degree in Computer Science, Statistics, Math, Engineering or a related technical field
  • 10+ years of experience leading high-impact machine learning solutions in a product-centric environment
  • Experience managing/mentoring high-performing teams of data scientists and engineers
  • Proven expertise across the research and development lifecycle, from prototyping to production, with strong ability to engage stakeholders
  • Deep expertise in machine learning, statistics, and data science with experience in optimization, A/B testing, and causal inference
  • Deep expertise in production ML infrastructure including model serving platforms, feature stores, and data pipelines
  • Exceptional communication skills and ability to translate complex concepts to diverse audiences
  • Demonstrated a mastery of end-to‑end ML system ownership in production environments, including model design, feature engineering, model architecture, drift detection, and serving infrastructure at scale
  • Proven ability to lead cross‑functional technical initiatives by coordinating with diverse stakeholder groups.

Core Competencies

Demonstrates expertise in leading high-impact machine learning solutions and managing complex AI engineering initiatives. Proven ability to drive innovation and operational efficiency while fostering cross-functional collaboration and stakeholder engagement.

Highest-signal resume keywords

  • Machine Learning Expertise
  • AI Engineering Management
  • Cross-Functional Collaboration
  • End-to-End ML System Ownership
  • Strategic Direction and Leadership

ATS Optimization Keywords

Hard Skills

  • Machine Learning
  • Statistics
  • Data Science
  • Optimization
  • A/B Testing
  • Causal Inference
  • Model Design
  • Feature Engineering
  • Model Architecture
  • Drift Detection

Soft Skills

  • Exceptional Communication
  • Stakeholder Engagement

Industry Keywords

  • AI Roadmaps
  • Operational Efficiency
  • Resource Optimization
  • High-Impact Projects
  • Research and Development Lifecycle

Tools & Technologies

  • Model Serving Platforms
  • Feature Stores
  • Data Pipelines

See also

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