Senior Algorithm/AI Engineer

Twenty-Six Defense•Merrimack, NH

20h

About The Position

The Senior Algorithm/AI Engineer designs, develops, and optimizes advanced algorithms and AI models to address complex business challenges. The role drives technical innovation, guides project teams, and ensures solutions align with business objectives and ethical standards. The engineer leads the end-to-end development of machine learning, deep learning, and traditional algorithms for business-critical applications; evaluates and integrates emerging AI/ML techniques; and collaborates with data engineering, product, and business stakeholders to deliver scalable solutions. The role also oversees data preparation, feature engineering, and data quality, and establishes testing, validation, and monitoring practices to support model accuracy, fairness, and compliance. Additional responsibilities include mentoring junior engineers, contributing to code reviews and knowledge sharing, documenting technical work, following regulatory and ethical standards such as explainability and bias mitigation, and identifying opportunities to streamline workflows, automate processes, and improve system performance.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
At least 4 years of professional experience in algorithm development, machine learning, or AI engineering.
Proven track record of delivering successful AI/ML solutions in a production environment.
Advanced programming skills in Python, R, Java, or C++.
Proficiency with machine learning and AI libraries such as TensorFlow, PyTorch, or scikit-learn.
Experience with data pipelines, cloud platforms such as AWS, Azure, or GCP, and MLOps practices.
Strong background in statistics, mathematics, and algorithmic problem-solving.
Critical thinking and analytical skills.
Ability to communicate complex technical concepts to non-technical audiences.
Project management and organizational skills.
Collaboration and influencing skills across diverse teams.

Nice To Haves

PhD in Computer Science, Engineering, Mathematics, or a related field.
Experience in the technology, information, or media sectors.

Responsibilities

Lead the end-to-end design, implementation, and optimization of machine learning, deep learning, and traditional algorithms for business-critical applications.
Keep abreast of AI/ML advancements and evaluate and integrate emerging techniques.
Mentor junior engineers and provide technical guidance and best practices across teams.
Participate in code reviews and knowledge sharing.
Collaborate with data engineering, product, and business stakeholders to translate requirements into scalable AI solutions.
Oversee data preparation, feature engineering, and data quality processes.
Establish and execute testing, validation, and monitoring protocols to ensure model accuracy, fairness, and compliance.
Maintain comprehensive technical documentation and follow regulatory and ethical standards, including explainability and bias mitigation.
Identify opportunities to streamline workflows, automate processes, and enhance system performance.

Benefits

Most locations offer a 9/80 schedule, with every other Friday off.
Competitive compensation.
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, and pet insurance.
Voluntary Tricare Supplement available for military retirees.