• Attend and complete the part-time Data Science & AI Bootcamp as part of the apprenticeship • Contribute to software projects for your host company • Write clean, maintainable and testable code using modern frameworks and tools • Collaborate in sprint-based workflows and participate in code reviews • Support feature development, debugging, documentation, and QA processes • Build your portfolio of production-level work while growing your technical and collaborative skills • Receive ongoing mentorship from senior developers and product leaders

• Serás responsable del diseño, desarrollo e implementación de soluciones basadas en inteligencia artificial y automatización de procesos en entornos productivos • Participarás en la integración de modelos de IA, construcción de pipelines y automatización de flujos, acompañando todo el ciclo de desarrollo

• Build and ship AI-powered features end-to-end, from prototype through production deployment. • Design and implement integrations with LLMs and AI services, including tool use, agents, and orchestration patterns. • Develop and maintain backend services and APIs that power AI features, with a focus on reliability and scalability in a multi-tenant environment. • Collaborate with product and engineering teams to identify where AI can meaningfully improve the platform. • Contribute to internal tooling, developer experience, and knowledge sharing around AI development practices. • Stay current with a fast-moving field and help the team make pragmatic technology choices.

Title: Principal Engineer - AI Focus Location: Irving,Blue Bell, Boca Raton, United States Job Description: JobID: 3019997 Category: What You'll Do: As a Principal Engineer with an AI focus, you'll play a key role in shaping how AI is applied across ADT's security products and engineering practices. You'll work with a distributed platform team to bring consumer‑facing, AI‑enabled experiences from concept through launch. - Lead end‑to‑end development of AI products, from research and prototyping through production deployment - Design and implement advanced video analysis systems using computer vision and deep learning techniques - Develop robust data models and data pipelines to support large‑scale AI and machine learning applications - Optimize model performance for accuracy, latency, and scalability in production environments - Design and build solutions within large, complex platform systems - Build and maintain MLOps infrastructure to support model training, evaluation, deployment, and monitoring - Write high‑quality, production‑ready code in a hands‑on, senior individual contributor role - Help set technical direction and influence architecture and platform decisions - Partner with cross‑functional teams including product managers, designers, and engineers to define requirements and deliver solutions - Stay current with emerging trends in computer vision, video understanding, and AI technologies - Mentor junior engineers and contribute to technical decision‑making across the team - Explore and apply AI‑driven improvements to software development workflows and engineering processes What You'll Need: - 15+ years of professional software development experience - 3+ years of hands‑on, production experience delivering AI or machine learning solutions - Strong experience with deep learning, computer vision, neural networks, and model optimization - Experience with video analysis techniques such as object detection and tracking, action recognition, video segmentation, temporal modeling, and scene understanding - Strong understanding of data modeling, ETL pipelines, feature engineering, data quality, and scalable data architectures - Proficiency in one or more programming languages such as Java, Rust, Python, or C++, with strong version control practices (Git) - Experience using AI and ML frameworks and libraries such as PyTorch, TensorFlow, Keras, scikit‑learn, and OpenCV - Experience working in large‑scale, distributed systems - Hands‑on experience with cloud platforms and infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and GPU optimization - Ability to operate with high ownership and strong technical judgment Skills That Set You Apart - Experience working across multiple programming languages - Platform, infrastructure, or security system experience - Exposure to applying AI within regulated or mission-critical environments Workstyle: Hybrid schedule - employees work onsite a minimum of four days per week, with one remote day. Five days onsite may be required based on business needs. Applicants must be authorized to work for any employer in the U.S. We are unable to support or sponsor any U.S. immigration benefit (such as, but not limited to, H-1B, TN, STEM OPT) at this time. Compensation & Benefits: The salary range for this role is $119,000.00 - $221,000.00 and is based on experience and qualifications. Certain roles are eligible for annual bonus and may include equity. These awards are allocated based on company and individual performance. We offer employees access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, life insurance, wellbeing benefits and paid time off among others. Employees accrue up to 120 hours in their first year. Your accrual rate increases after your first year. We also offer 6 paid holidays. Los Angeles Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Philadelphia Applicants: Background checks will be conducted during the employment process. Any information will be reviewed through an individualized assessment in accordance with the Philadelphia Fair Criminal Record Screening Standards Ordinance.