Hybrid Manager, Applied Science – Telematics, OCR

at Motive

• Job title: Manager, Applied Science – Telematics, OCR
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $138,000 - $200,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Google Cloud Platform, Numpy, Pandas, Python, PyTorch, SQL, Tensorflow
• Location requirements: Hybrid, United States

About the role

• 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
• paid time off
• sick time off
• short term and long term disability coverage
• life insurance
• 401k contribution