Principle AI Research Engineer

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.

• →

None

Experienced

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.