Staff Algorithm/AI Engineer

Twenty-Six Defense•Merrimack, NH

About The Position

The Staff Algorithm/AI Engineer is a senior technical expert responsible for designing, developing, and deploying advanced algorithms and artificial intelligence solutions to solve complex business problems. The role combines deep technical expertise in AI/ML 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.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or a related field.
  • 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 authority who drives innovation and sets technical direction.
  • Ability to build cross-functional relationships and influence stakeholders and project outcomes.
  • Demonstrated thought leadership and ability to mentor others.
  • Understanding of business drivers and ability to align technical solutions with strategic objectives.
  • Adaptability, commitment to continuous learning, and ability to adapt to evolving technologies.
  • Ability to clearly communicate 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 advancements 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.

Benefits

  • Most locations offer a 9/80 schedule, providing every other Friday off.
  • Competitive compensation and a 401(k) program.
  • Medical, dental, vision, and disability coverage, with qualified wellness discounts.
  • Basic life insurance and additional life and AD&D insurance options.
  • Flexible vacation and PTO.
  • Paid parental leave.
  • Employee referral program.
  • Voluntary benefits including long-term care, legal, identity theft, pet insurance, and more.
  • Voluntary TRICARE supplement available for military retirees.
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