Principle AI Research Engineer

Job description

Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Department Overview Based in Bengaluru, India, the AI Scientist will be a hands-on technical contributor responsible for designing, developing, and deploying state-of-the-art machine learning models that power Motorola Solutions’ mission-critical security and public safety products. This role requires deep technical acumen in specific AI domains, focusing on translating research into scalable, high-performance production systems. The AI Scientist will be a core member of our central AI organization, contributing directly to the foundational models and algorithms consumed by downstream product teams. Key Responsibilities The AI Scientist will be responsible for the research, development, and delivery of AI/ML models across the following core areas: Model Research & Development: Conduct end-to-end development of AI/ML models from initial concept and literature review through to production deployment and monitoring. Data Lifecycle Management: Collaborate with data engineering teams on large-scale dataset creation, annotation, quality control, and pipeline optimization to ensure high-quality training data. Algorithm Optimization: Focus on optimizing model performance for real-time and edge deployment constraints, including latency, throughput, and computational efficiency. Specialized AI Focus in at one of or more of the following areas: Voice AI/Natural Language Processing: Evaluate, adapt and/or train robust speech recognition, translation, natural language understanding, and audio understanding models tailored for noisy, real-world public safety and security environments. Computer Vision & Video Analytics: Develop and enhance models for complex object detection, tracking, re-identification, video search capabilities, and scene understanding from diverse video sources. Foundational Model Fine-Tuning: Evaluate, fine-tune, and adapt large pre-trained and foundational models (e.g., LLMs, large vision models) for specific security-focused tasks and domain-specific knowledge integration. Collaboration: Partner with software engineers to integrate models into the enterprise-scale cloud and edge AI platforms, ensuring reliability and scalability. Evaluation & Validation: Establish rigorous, metric-driven evaluation frameworks (e.g., Precision, Recall, F1-Score) to benchmark model performance and drive continuous improvement on quantifiable customer outcomes. Job Description As an AI Research Scientist, you will be part of a multidisciplinary team of engineers and researchers in our AI R&D team. Our goal is to build advanced vision models that contribute to a safer world. Your responsibilities will include researching, designing, and developing the underlying algorithms to solve practical problems, creating prototypes, and collaborating with various product development teams to deliver high-quality solutions for both edge computing and cloud environments. Key Responsibilities Conduct cutting-edge research in machine learning and computer vision, focusing on solutions for public safety and video security. Stay up-to-date with the latest advancements in the field by regularly reviewing published research papers. Generate high-quality patents in applied computer vision. Collaborate with software development teams to deploy the vision models you design and train. Contribute to the continuous improvement of the organization's machine learning deployment processes and tools. Basic Requirements: PhD in a technical field. 3+ years of professional experience in applied AI research. A deep understanding of Transformer architectures and Vision-Language Models. Experience in Python programming and working with deep learning frameworks such as PyTorch. Differentiators: Experience in C++ programming and working with embedded systems. Experience with Docker and Kubernetes. Proven ability to write clean, efficient, and well-documented production-level code. Basic Requirements Basic Requirements: PhD in a technical field. 3+ years of professional experience in applied AI research. A deep understanding of Transformer architectures and Vision-Language Models. Experience in Python programming and working with deep learning frameworks such as PyTorch. Travel Requirements Under 10% Relocation Provided None Position Type Experienced Referral Payment Plan Yes EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.