Senior AI/ML Engineer & Technical Lead

Twenty-Six Defense; Oregon; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

9/80 schedule (every other Friday off)

401(k) program

Medical, dental, vision, disability

Life Insurance

Flexible Vacation & PTO

Parental Leave

Employee Referral Program

Voluntary Benefits: Long-Term Care, ID

Tricare Supplement

Job summary

Twenty-Six Defense, headquartered in Fort Worth, Texas, seeks a Staff Algorithm/AI Engineer to design, develop, and deploy advanced AI solutions for high-impact defense and aviation applications. You will lead cross-functional AI/ML projects, mentor engineers, and shape organizational AI strategy.

The role requires deep technical expertise in AI/ML, strong collaboration skills, and a track record of production-grade models.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering (PhD preferred).
• 8+ years of experience in AI/ML engineering or related roles.
• Proven track record delivering production-grade ML models and AI solutions.

Responsibilities

• Design, develop, and implement scalable ML and AI algorithms for business-critical applications.
• Lead cross-team AI/ML projects, driving technical direction and best practices.
• Stay abreast of AI/ML advancements and translate research into deployable solutions.
• Work with product managers, data scientists, engineers, and stakeholders to align AI with goals.
• Provide mentorship to junior engineers and data scientists.

Skills

AI/ML expertise

Cross-functional collaboration

Leadership

Ethics in AI

Education

Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering (PhD preferred)

Job description

Twenty-Six Defense, headquartered in Fort Worth, Texas, seeks a Staff Algorithm/AI Engineer to design, develop, and deploy advanced AI solutions for high-impact defense and aviation applications. You will lead cross-functional AI/ML projects, mentor engineers, and shape organizational AI strategy.

The role requires deep technical expertise in AI/ML, strong collaboration skills, and a track record of production-grade models.