Role Description The Principal AI Engineer plays a pivotal role in driving innovation and developing advanced artificial intelligence solutions for defense applications. This position involves leading the design, implementation, and optimization of AI systems for autonomous platforms, mission planning, and predictive analytics. The role requires collaboration with multidisciplinary teams to integrate AI solutions with cutting-edge hardware and ensure compliance with safety, ethical, and regulatory standards. As a technical leader, this role mentors team members, manages complex datasets, and stays ahead of emerging AI technologies to maintain a competitive edge. With a focus on security and performance, this role is essential for advancing defense technologies and supporting critical mission objectives. Responsibilities and Tasks - Lead the design and development of advanced AI algorithms for defense applications, including autonomous systems, decision-making, and predictive analytics. - Oversee the integration of AI solutions with hardware platforms, such as drones, aircraft, or missile systems, ensuring seamless operation. - Manage large datasets, including collection, preprocessing, and analysis, to train and validate AI models. - Optimize AI models for performance, reliability, and scalability in real-world defense scenarios. - Conduct rigorous testing, including hardware-in-the-loop (HIL) and software-in-the-loop (SIL) simulations, to validate AI systems under various operational conditions. - Work closely with multidisciplinary teams, including software engineers, systems engineers, and domain experts, to align AI solutions with mission objectives. - Ensure AI systems meet stringent safety, ethical, and regulatory standards specific to defense applications. - Stay updated on the latest advancements in AI and Machine Learning to drive innovation and maintain a competitive edge. - Provide technical leadership and mentorship to junior engineers and team members. - Prepare detailed documentation and reports for stakeholders, including government agencies and contractors. Qualifications - Bachelor’s or master’s degree in computer science, Engineering, Mathematics, or related field (PhD preferred). - 6+ years of professional experience in algorithm development, machine learning, or AI engineering. - Proficiency in machine learning, deep learning, reinforcement learning, and natural language processing techniques. - Advanced programming skills in languages such as Python, C++, Java, or R, along with experience in AI frameworks (TensorFlow, PyTorch, etc.). - Strong foundation in linear algebra, statistics, probability, optimizations, and algorithms. - Expertise in managing and processing large datasets, including structured and unstructured data. - Experience in optimizing AI systems for performance, scalability, and reliability in defense environments. - Proficient in designing rigorous validation and testing methodologies for AI systems. - Understanding of defense-related applications, including autonomous systems, situational awareness, and mission planning. - Familiarity with cybersecurity principles and practices to safeguard AI systems. Skills and Abilities - Skills in developing, training, testing, and deploying AI models in real-world scenarios. - Ability to integrate AI systems with hardware platforms and ensure seamless functionality. - Strong ability to analyze complex problems and develop innovative AI-driven solutions. - Ability to lead teams, mentor junior engineers, and provide technical direction. - Excellent collaboration skills to work with multidisciplinary teams including engineers and domain experts. - Strong written and verbal communication skills for presenting findings, preparing documentation, and liaising with stakeholders. - Willingness to stay updated with emerging AI technologies and trends. - Ability to propose novel solutions and push the boundaries of existing technology. Travel/Physical Requirements - Willingness to travel CONUS. - This role is fully remote for candidates within the United States. Benefits - 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: Longer Term Care, Legal, Identity Theft, Pet Insurance, and more. - Voluntary Tricare Supplement available for military retirees.

Role Description 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. Qualifications - 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. Requirements - 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. Benefits - 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: Longer Term Care, Legal, Identity Theft, Pet Insurance, and more. - Voluntary Tricare Supplement available for military retirees.

• Run evaluations on AI features: scoring outputs with AI assistance, flagging regressions, building golden sets, and turning results into clear writeups the team can act on. • Build lightweight tools and automations using AI coding tools: scripts, internal helpers, and one-off prototypes the team needs quickly. • Execute on prompt and workflow iteration: implementing changes, testing variations, and shipping the next round. • Run external outreach and relationship management end to end: reaching out to KOLs, running the calls, and following through. • Work with internal stakeholders to drive AI team outcomes: partnering with teams like marketing and other product teams. • Step in on whatever else is the AI team's highest-leverage need that week, even if it falls outside the list above.

• Apply a director’s mindset to script interpretation • Translate scripts into visual outputs through structured prompting using AI tools • Break scenes into organized shot sequences (wide, medium, close-up, transitions, pacing, etc) • Edit and assemble clips into cohesive, story driven content • Refine outputs for narrative clarity, pacing, visual consistency, and emotional continuity • Experiment with different AI models and workflows to achieve multiple visual styles • Optimize production workflows for scalability, consistency, and efficiency • Eventually train and guide AI generators and team members