Motive
Manager, Applied Science (Telematics & OCR)
Motive, San Francisco, California, United States, 94199
Manager, Applied Science (Telematics & OCR)
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Manager, Applied Science (Telematics & OCR)
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Motive
About the Company Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives complete visibility and control, significantly reducing manual workloads by automating and simplifying tasks. Motive serves nearly 100,000 customers across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
About the Role We are looking for a Manager, Applied Science to help develop and deploy cutting‑edge machine learning and deep learning models that power Motive’s safety and fleet management solutions. The role sits at the intersection of science and engineering, requiring a blend of innovation, scale, and production readiness. As a manager, you’ll mentor a team while directly working with massive geospatial, telematics, and sensor datasets to build models that enhance decision‑making across thousands of fleets.
What You’ll Do
Manage and scale a team of applied scientists and engineers.
Develop, train, and optimize deep learning models for safety, compliance, and fleet operations, including large language models, 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 such as collision detection and risky driving behavior.
Fine‑tune and distill large models 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.
What We’re Looking For
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 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, large language models, 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.
Compensation and Benefits United States: $138,000—$200,000 USD. Motive offers health, pharmacy, optical and dental care benefits, paid time off, sick time off, short‑term and long‑term disability coverage, life insurance, and 401(k) contribution (subject to eligibility). For more information visit Motive Perks & Benefits.
Equal Opportunity Employer 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.
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Manager, Applied Science (Telematics & OCR)
role at
Motive
About the Company Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives complete visibility and control, significantly reducing manual workloads by automating and simplifying tasks. Motive serves nearly 100,000 customers across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
About the Role We are looking for a Manager, Applied Science to help develop and deploy cutting‑edge machine learning and deep learning models that power Motive’s safety and fleet management solutions. The role sits at the intersection of science and engineering, requiring a blend of innovation, scale, and production readiness. As a manager, you’ll mentor a team while directly working with massive geospatial, telematics, and sensor datasets to build models that enhance decision‑making across thousands of fleets.
What You’ll Do
Manage and scale a team of applied scientists and engineers.
Develop, train, and optimize deep learning models for safety, compliance, and fleet operations, including large language models, 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 such as collision detection and risky driving behavior.
Fine‑tune and distill large models 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.
What We’re Looking For
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 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, large language models, 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.
Compensation and Benefits United States: $138,000—$200,000 USD. Motive offers health, pharmacy, optical and dental care benefits, paid time off, sick time off, short‑term and long‑term disability coverage, life insurance, and 401(k) contribution (subject to eligibility). For more information visit Motive Perks & Benefits.
Equal Opportunity Employer 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.
#J-18808-Ljbffr