Staff Algorithm/AI Engineer

Elbit America•Merrimack, NH

About The Position

The Staff Algorithm/AI Engineer is a senior technical expert who designs, develops, and deploys advanced algorithms and artificial intelligence solutions to address complex business problems. The role combines deep AI/ML expertise with collaboration and leadership, influencing project direction and organizational AI strategy. The Staff Engineer partners with cross-functional teams to deliver scalable AI-driven products, mentors junior engineers, and serves as a subject matter expert. The position leads technical direction and best practices for complex AI/ML initiatives, applies emerging research to practical solutions, and helps ensure machine-learning models are accurate, fair, compliant, documented, reproducible, and governed responsibly. It also identifies opportunities to improve model and process efficiency and performance.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field.
  • At least 8 years of experience in AI/ML engineering or related technical roles.
  • Proven track record of delivering production-grade machine-learning models and AI solutions.
  • Recognized AI/ML technical expertise and ability to drive innovation and set technical direction.
  • Ability to build cross-functional relationships and influence stakeholders and project outcomes.
  • Leadership, thought leadership, and mentoring skills.
  • Business acumen to align technical solutions with strategic objectives.
  • Adaptability, continuous learning, and ability to respond to evolving technologies.
  • Ability to clearly explain complex technical topics to diverse audiences.
  • High ethical standards and commitment to responsible AI practices.

Nice To Haves

  • PhD in Computer Science, Mathematics, Engineering, or a related field.

Responsibilities

  • Design, develop, and implement scalable machine-learning and AI algorithms for business-critical applications.
  • Lead complex, cross-team AI/ML projects, driving technical direction, best practices, and innovation.
  • Track advances in AI/ML and translate research into practical, deployable solutions.
  • Work with product managers, data scientists, engineers, and business stakeholders to align AI solutions with organizational goals.
  • Provide technical guidance, coaching, and mentorship to less experienced engineers and data scientists.
  • Oversee evaluation, validation, and monitoring of machine-learning models, ensuring accuracy, fairness, and compliance.
  • Set and enforce standards for code quality, model documentation, and reproducibility.
  • Contribute to establishing and enforcing AI/ML governance frameworks and responsible, ethical AI practices.
  • Identify opportunities to optimize existing models and processes, improving efficiency and performance.
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