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Senior Algorithm/AI Engineer
Twenty-Six Defense
2 hours ago
Full-time
On-site
Merrimack, New Hampshire, United States
Company Information
Twenty‑Six Defense, headquartered in Fort Worth, Texas, is a leading provider of high‑performance products, system solutions, and aftermarket support services focusing on the defense, homeland security, and commercial aviation markets. With facilities throughout the U.S., Twenty‑Six Defense supports those who contribute to the national security of the United States. Twenty‑Six Defense is wholly owned by Elbit Systems Ltd. (NASDAQ: ESLT and TASE: ESLT), a global high‑technology company engaged in a wide range of programs for innovative defense and commercial applications.
Summary Of Responsibilities The Senior Algorithm/AI Engineer is responsible for designing, developing, and optimizing advanced algorithms and AI models to solve complex business challenges. This role drives technical innovation, provides expert guidance to project teams, and ensures alignment with business objectives and ethical standards.
Lead the end-to-end design, implementation, and optimization of machine learning, deep learning, and traditional algorithms for business-critical applications.
Stay abreast of AI/ML advancements; evaluate and integrate emerging techniques to maintain competitive advantage.
Mentor junior engineers; provide technical guidance and best practices across teams; participate in code reviews and knowledge sharing.
Collaborate with cross-functional teams (data engineering, product, business stakeholders) to translate requirements into scalable AI solutions.
Oversee data preparation, feature engineering, and data quality processes to support robust model performance.
Establish and execute rigorous testing, validation, and monitoring protocols to ensure model accuracy, fairness, and compliance.
Maintain clear, comprehensive technical documentation and ensure adherence to regulatory and ethical standards (e.g., explainability, bias mitigation).
Identify opportunities to streamline workflows, automate processes, and enhance system performance
Knowledge (Education/License/Certification, Prior Experience)
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD preferred)
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
Experience in the technology, information, or media sectors is highly desirable
Skills And Abilities
Critical thinking and analytical mindset
Effective communication of complex technical concepts to non-technical audiences
Project management and organizational skills
Collaboration and influencing skills across diverse teams
Advanced programming (Python, R, Java, or C++), with proficiency in ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Experience with data pipelines, cloud platforms (AWS, Azure, GCP), and MLOps practices
Strong background in statistics, mathematics, and algorithmic problem-solving
Here Are Some Of The Great Benefits We Offer
Most locations offer a 9/80 schedule, providing every other Friday off
Competitive compensation & 401(k) program to plan for your future
Robust medical, dental, vision, & disability coverage with qualified wellness discounts
Basic Life Insurance and Additional Life & AD&D Insurances are available
Flexible Vacation & PTO
Paid Parental Leave
Generous Employee Referral Program
Voluntary Benefits Available: Long-Term Care, Legal, Identity Theft, Pet Insurance, and more
Voluntary Tricare Supplement available for military retirees
This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties. The employer has the right to revise this job description at any time. The job description is not an employment contract. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. Twenty‑Six Defense is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.
For Virginia-based positions only* In accordance with Virginia DOL requirements, the listed salary range reflects the anticipated base pay range for this role. Actual compensation will be determined based on factors including skills, experience, education, certifications, business needs, internal equity, and geographic location. Compensation may vary in different locations based on market conditions and cost-of-labor considerations.
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Summary Of Responsibilities The Senior Algorithm/AI Engineer is responsible for designing, developing, and optimizing advanced algorithms and AI models to solve complex business challenges. This role drives technical innovation, provides expert guidance to project teams, and ensures alignment with business objectives and ethical standards.
Lead the end-to-end design, implementation, and optimization of machine learning, deep learning, and traditional algorithms for business-critical applications.
Stay abreast of AI/ML advancements; evaluate and integrate emerging techniques to maintain competitive advantage.
Mentor junior engineers; provide technical guidance and best practices across teams; participate in code reviews and knowledge sharing.
Collaborate with cross-functional teams (data engineering, product, business stakeholders) to translate requirements into scalable AI solutions.
Oversee data preparation, feature engineering, and data quality processes to support robust model performance.
Establish and execute rigorous testing, validation, and monitoring protocols to ensure model accuracy, fairness, and compliance.
Maintain clear, comprehensive technical documentation and ensure adherence to regulatory and ethical standards (e.g., explainability, bias mitigation).
Identify opportunities to streamline workflows, automate processes, and enhance system performance
Knowledge (Education/License/Certification, Prior Experience)
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD preferred)
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
Experience in the technology, information, or media sectors is highly desirable
Skills And Abilities
Critical thinking and analytical mindset
Effective communication of complex technical concepts to non-technical audiences
Project management and organizational skills
Collaboration and influencing skills across diverse teams
Advanced programming (Python, R, Java, or C++), with proficiency in ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Experience with data pipelines, cloud platforms (AWS, Azure, GCP), and MLOps practices
Strong background in statistics, mathematics, and algorithmic problem-solving
Here Are Some Of The Great Benefits We Offer
Most locations offer a 9/80 schedule, providing every other Friday off
Competitive compensation & 401(k) program to plan for your future
Robust medical, dental, vision, & disability coverage with qualified wellness discounts
Basic Life Insurance and Additional Life & AD&D Insurances are available
Flexible Vacation & PTO
Paid Parental Leave
Generous Employee Referral Program
Voluntary Benefits Available: Long-Term Care, Legal, Identity Theft, Pet Insurance, and more
Voluntary Tricare Supplement available for military retirees
This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties. The employer has the right to revise this job description at any time. The job description is not an employment contract. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. Twenty‑Six Defense is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.
For Virginia-based positions only* In accordance with Virginia DOL requirements, the listed salary range reflects the anticipated base pay range for this role. Actual compensation will be determined based on factors including skills, experience, education, certifications, business needs, internal equity, and geographic location. Compensation may vary in different locations based on market conditions and cost-of-labor considerations.
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