Senior Applied Scientist

About Motive: Fueling the Future of Physical Operations

At Motive, we’re building the future for the industries that power the world – physical operations. We provide the tools that make work safer, more productive, and more profitable for the people running logistics, construction, field service, agriculture, and more.

Imagine a single system where safety, operations, and finance teams can seamlessly manage drivers, vehicles, equipment, and related spend. That’s the power of the Motive AI Platform. Leveraging cutting-edge AI, we deliver complete visibility and control, drastically reducing manual effort through smart automation.

Serving over 100,000 customers, from Fortune 500 leaders to vital small businesses across a diverse range of sectors, Motive is transforming how physical operations run.

Learn more about our impact at gomotive.com.

The Opportunity: Senior Applied Scientist, AI & Machine Learning

Are you passionate about pushing the boundaries of Applied AI and deploying solutions that have a tangible, real-world impact at massive scale?

Join our innovative Applied Science team as a Senior Applied Scientist and help us build the next generation of Machine Learning and Deep Learning models powering Motive’s critical safety and efficiency solutions for the physical operations industry.

This is a unique role positioned at the intersection of fundamental science and robust engineering. You will delve into cutting-edge areas like LLMs, forecasting, and Multimodal AI, applying them to complex challenges such as enhanced collision detection, predictive driver safety scoring, intelligent spend management, and dynamic fleet optimization. You will not only innovate but also ensure your models are scalable, reliable, and production-ready, working with large-scale data measured in petabytes.

What You’ll Drive: Key Responsibilities

As a Senior Applied Scientist, you will:

• Spearhead the development, training, and optimization of advanced Deep Learning Models for safety, compliance, and fleet operations, including architecting solutions using LLMs, Transformer Models, and Multimodal AI.
• Design and implement sophisticated ML Pipelines capable of handling Large-Scale Data Processing, feature engineering, model training, and low-latency Real-Time Inference.
• Leverage rich data sources, including Sensor Data, Telematics (GPS, IMU, accelerometers), and Computer Vision (dashcam footage), to significantly improve event detection models for critical behaviors like collision and risky driving.
• Expertly fine-tune and distill complex large models (e.g., LLMs, Vision Transformers) to optimize inference latency and deployment efficiency across diverse environments, including edge devices and cloud infrastructure.
• Collaborate closely with our talented engineering teams to seamlessly deploy production models, ensuring they meet stringent requirements for robustness, interpretability, and real-time performance.
• Design and conduct rigorous A/B testing and causal inference studies to accurately measure the business impact of your AI-driven innovations.
• Stay at the forefront of AI Research, specifically in areas like deep learning, generative AI, and optimization methods, and translate promising advancements into production features.

What You Bring: Qualifications & Experience

We are seeking a candidate with:

• A solid academic foundation: Bachelor’s or Master’s degree in a Quantitative Field such as Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related discipline.
• Proven professional experience: Minimum of 3+ years in Applied AI Experience, Deep Learning, or Machine Learning roles.
• Strong programming proficiency: Expert in Python, with significant experience using key libraries like TensorFlow, PyTorch, NumPy, and Pandas.
• Exceptional data skills: Strong command of SQL and demonstrated experience working effectively with Large Datasets.
• Deep technical knowledge: Solid understanding of Transformer Models, LLMs, and Multimodal AI concepts.
• Cloud deployment expertise: Practical experience with Cloud ML Deployment on major platforms such as AWS, GCP, or Azure.
• Robust theoretical grounding: Strong understanding of Probability & Statistics and Optimization techniques.
• Impactful communication: The ability to effectively translate complex business problems into scientific solutions and clearly communicate technical findings to diverse stakeholders.

Compensation & Benefits

Your Total Compensation package, including potential Restricted Stock Units for certain roles, will be determined by factors such as your education, relevant work experience, and certifications. We offer comprehensive Benefits, including health, pharmacy, optical, and dental care, paid time off, sick time, short and long-term disability, life insurance, and 401k contributions (subject to eligibility).

Discover more about the perks of joining Motive at Motive Perks & Benefits.

The Compensation Range for this position in the United States is $124,000 – $184,000 USD, depending on your location.

Commitment to Diversity & Inclusion

Creating a Diverse & Inclusive workplace is fundamental to our values at Motive. We are proud to be an Equal Opportunity Employer and actively welcome individuals from all backgrounds, experiences, abilities, and perspectives.

Please review our Candidate Privacy Notice here.

UK candidates can find their Privacy Notice here.

Authorization Requirement: The applicant must be authorized to receive and access commodities and technologies controlled under U.S. Export Administration Regulations. Motive’s policy requires employees to be authorized to access Motive products and technology.

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