Manager, Applied Science (Telematics & OCR) at Motive

Austin, Texas, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Transportation, Logistics, Construction, Energy, ManufacturingIndustries

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

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

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningLLMsForecastingMultimodal ModelsTelematicsOCRGeospatial DataSensor DataInference OptimizationCollision Detection

Questions & Answers

Common questions about this position

What degree is required for the Manager, Applied Science role?

A Bachelor’s or Master’s degree in a quantitative field such as Computer Science or AI is required.

What are the main responsibilities of this role?

The role involves managing a team of applied scientists and engineers, developing deep learning models for safety and fleet operations, designing ML pipelines, working with telematics and sensor data, fine-tuning models, collaborating on production deployment, conducting A/B testing, and staying current with AI research.

What type of data will I work with in this position?

You will work with massive datasets at petabyte-scale, including geospatial, telematics, and sensor data such as dashcam, GPS, IMU, and accelerometers.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

Motive

Enhances broadband services for providers

About Motive

Motive focuses on enhancing the customer experience for broadband service providers. They offer a strategy called the High Leverage Network, which helps service providers simplify their offerings, making it easier for customers to buy, own, and use their services. This approach allows providers to fully utilize their networks to improve business outcomes and stand out in a competitive market. Unlike other companies, Motive emphasizes continuous innovation as a key differentiator, enabling service providers to create a more personalized and engaging experience for their customers. The ultimate goal of Motive is to help service providers deliver a superior customer experience that drives loyalty and business success.

Austin, TexasHeadquarters

1871Year Founded

IPOCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

51-200Employees

Benefits

Health, dental, vision, & life insurance

PTO

Paid Holidays

Parental leave

401(k)

Performance Bonus

Employee Stock Purchase Plan

Company Social Outings

Work From Home Policy

Risks

Emerging competition from agile startups threatens Motive's market share.

Rapid AI advancements may outpace Motive's current audio capabilities.

Consumer privacy concerns could lead to regulatory scrutiny impacting operations.

Differentiation

Motive's ALIVE system offers a unique immersive audio experience for gaming.

High Leverage Network strategy enhances customer experience through continuous innovation.

Focus on personalized audio content differentiates Motive from traditional audio companies.

Upsides

Growing demand for immersive audio in gaming boosts ALIVE system's market potential.

Partnerships with streaming platforms enhance Motive's audio offerings and subscriber retention.

Rise of virtual reality applications creates opportunities for Motive's sophisticated audio solutions.

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