Manager, Applied Science (Safety)

San Francisco, CA - USA

Monthly Salary: $ 200000 - 235000

Posted on: 27 days ago

Vacancies: 1 Vacancy

Job Summary

Who we are:

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 you complete visibility and control and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100000 customers from Fortune 500 enterprises to small businesses across a wide range of industries including transportation and logistics construction energy field service manufacturing agriculture food and beverage retail and the public sector.

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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 Motives safety and fleet management solutions. You will work on LLMs forecasting and multimodal deep learning models driving innovation in areas like collision detection driver safety scoring spend management and fleet optimization. This role sits at the intersection of science and engineering requiring you to push the boundaries of AI while ensuring models are robust scalable and production-ready.

As a manager on the Applied Science team youll mentor a team and also directly work with massive datasets (petabyte-scale) including geospatial telematics and sensor data to build models that enhance decision-making across thousands of fleets. Youll collaborate with engineers product managers and domain experts to develop novel ML algorithms optimize inference performance and deploy models in real-world applications that impact millions of drivers and businesses.

What Youll Do:

Manage and scale a team of applied scientists and engineers
Develop train and optimize AI models for safety compliance and fleet operations including classical ML models LLMs and multimodal systems
Design and implement ML pipelines for petabyte-scale data processing including feature engineering model training and real-time inference
Work with vision telematics and sensor data (e.g. dashcam GPS IMU accelerometer) to improve event detection models (e.g. collision detection risky driving behavior)
Fine-tune and distill large models (LLMs VLMs) to optimize performance and minimize latency 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 and bringing these innovations into production

What Were Looking For:

Masters or Doctoral degree in a quantitative field (CS AI Math Statistics or related)
Previous experience running a technical team
5 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 Pandas PySpark)
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

Pay Transparency
Your compensation may be based on several factors including education work experience and certifications. For certain roles total compensation may include restricted stock units. Motive offers benefits including health pharmacy optical and dental care benefits paid time off sick time off short term and long term disability coverage life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks & Benefits.

The compensation range for this position will depend on where you reside. For this role the compensation range is:

United States

$200000 - $235000 USD

Creating a diverse and inclusive workplace is one of Motives core values. We are an equal opportunity employer and welcome people of different backgrounds experiences abilities and perspectives.

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The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations.It is Motives policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote

Required Experience:

Manager

Who we are: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...