Manager, Applied Science developing AI models to enhance safety and fleet management at Motive. Leading a technical team on deep learning and multimodal AI innovations.
Responsibilities
Manage and scale a team of applied scientists and engineers
Develop, train, and optimize deep learning models for safety, compliance, and fleet operations, including LLMs, transformer models, and multimodal AI
Design and implement ML pipelines for large-scale data processing, including feature engineering, model training, and real-time inference
Work with vision, telematics and sensor data (dashcam, GPS, IMU, accelerometers) to improve event detection models (e.g., collision detection, risky driving behavior)
Fine-tune and distill large models (LLMs, Vision Transformers, etc.) to optimize latency and deployment efficiency on edge devices and cloud infrastructure
Collaborate with engineering teams to deploy models into production, ensuring robustness, interpretability, and real-time performance
Conduct A/B testing and causal inference studies to evaluate the impact of AI-driven decisions
Stay up to date with the latest research in deep learning, generative AI, and optimization methods, bringing innovations into production
Requirements
Bachelor’s or Master’s degree in a quantitative field (CS, AI, Math, Statistics, or related)
Previous experience running a technical team
4+ years of experience in deep learning, machine learning, or applied AI
Experience working with hardware, robotics, telematics, geospatial data, or sensor fusion
Proficiency in Python (TensorFlow, PyTorch, NumPy, Pandas)
Strong experience in SQL and handling large-scale datasets
Knowledge of transformer models, LLMs, and multimodal AI
Experience with ML model deployment on cloud platforms (AWS, GCP)
Understanding of probability, statistics, and optimization techniques
Ability to translate business problems into scientific solutions and communicate technical findings to stakeholders.
Benefits
health, pharmacy, optical and dental care benefits
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