Motive is seeking a Senior Applied Scientist to develop and deploy machine learning and deep learning models for their safety and fleet management solutions, focusing on areas like collision detection, driver safety scoring, spend management, and fleet optimization. The goal is to enhance decision-making across fleets using large datasets and advanced AI techniques.
Requirements
- 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, Azure).
- Understanding of probability, statistics, and optimization techniques.
- Experience in deep learning, machine learning, or applied AI.
- Design and implement ML pipelines for large-scale data processing, including feature engineering, model training, and real-time inference.
Responsibilities
- 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
Other
- Bachelor’s or Master’s degree in a quantitative field (CS, AI, Math, Statistics, or related).
- 3+ years of experience in deep learning, machine learning, or applied AI.
- Ability to translate business problems into scientific solutions and communicate technical findings to stakeholders.
- Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
- The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.