AI/ML Engineer – Time Series & Robotics

Carter Murray; Houston (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Houston-based robotics and intelligent vehicle systems organization seeks an AI/ML Engineer to design and deploy machine learning solutions that leverage multi-sensor time-series data to enhance system performance and autonomy.

Responsibilities include data pipelines, model prototyping with PyTorch/TensorFlow, and collaboration with embedded teams to optimise models for constrained hardware. Proficiency in C++ and Python is required, with ROS knowledge a plus.

Qualifications

• Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related discipline.
• Experience developing machine learning solutions for time-series, sensor, or signal-processing applications.
• Strong programming skills in C++ and Python.
• Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.
• Experience working with real-world sensor data in robotics, automotive, industrial automation, IoT, or similar environments.
• Familiarity with data science tools including NumPy, Pandas, and Jupyter Notebooks.
• Strong communication skills and the ability to work effectively in cross-functional engineering teams.

Responsibilities

• Design and develop machine learning models for multi-sensor time-series data, including signals from cameras, GPS, IMUs, joint states, motors, and vehicle systems.
• Build and maintain data pipelines for data collection, preprocessing, feature engineering, and labelling.
• Prototype and train models using Python and modern machine learning frameworks such as PyTorch and TensorFlow.
• Partner with embedded software engineers to optimise and deploy models in resource-constrained environments.
• Develop high-performance production solutions in C++.
• Evaluate model performance, improve accuracy, and enhance robustness across multiple applications and platforms.
• Collaborate closely with robotics, controls, and software engineering teams to deliver practical AI solutions.
• Create tools, visualisations, and dashboards to support data interpretation and system monitoring.
• Maintain thorough documentation of datasets, experiments, models, and results.

Skills

C++

Python

Time-series ML

Education

Bachelor's degree or higher in CS/EE/Applied Math

Tools

PyTorch

TensorFlow

NumPy

Pandas

Jupyter Notebooks

Job description

About the Opportunity

We are partnering with an innovative engineering and technology organisation developing advanced robotics and intelligent vehicle systems. They are seeking an AI/ML Engineer to build and deploy machine learning solutions that leverage complex sensor and time-series data to improve system performance, monitoring, and autonomous capabilities.

Key Responsibilities

• Design and develop machine learning models for multi-sensor time-series data, including signals from cameras, GPS, IMUs, joint states, motors, and vehicle systems.
• Build and maintain data pipelines for data collection, preprocessing, feature engineering, and labelling.
• Prototype and train models using Python and modern machine learning frameworks such as PyTorch and TensorFlow.
• Partner with embedded software engineers to optimise and deploy models in resource-constrained environments.
• Develop high-performance production solutions in C++.
• Evaluate model performance, improve accuracy, and enhance robustness across multiple applications and platforms.
• Collaborate closely with robotics, controls, and software engineering teams to deliver practical AI solutions.
• Create tools, visualisations, and dashboards to support data interpretation and system monitoring.
• Maintain thorough documentation of datasets, experiments, models, and results.

Required Qualifications

• Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related discipline.
• Experience developing machine learning solutions for time-series, sensor, or signal-processing applications.
• Strong programming skills in C++ and Python.
• Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.
• Experience working with real-world sensor data in robotics, automotive, industrial automation, IoT, or similar environments.
• Familiarity with data science tools including NumPy, Pandas, and Jupyter Notebooks.
• Strong communication skills and the ability to work effectively in cross-functional engineering teams.

Preferred Qualifications

• Experience with robotics, control systems, or vehicle dynamics.
• Knowledge of embedded AI, edge AI, model optimisation, or model compression techniques.
• Experience with ROS or other sensor integration frameworks.
• Familiarity with MLOps practices, experiment tracking, model versioning, and CI/CD pipelines.
• Previous experience in a product development or R&D environment.
• Competitive base salary and comprehensive benefits package.
• Compensation will be aligned with experience, skills, and market conditions.
• Additional incentive and benefit programmes may be available.