Edge AI/ML Engineer - Time Series & Robotics

Microvast; Houston (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

Microvast, based in Houston, Texas, is seeking an AI/ML Engineer to develop and deploy machine learning algorithms for multi-sensor time-series data used in vehicles and robotics. This role emphasizes creating efficient ML models, collaborating with cross-functional teams, and applying advanced data science techniques.

The ideal candidate will hold a Bachelor’s degree or higher in Computer Science, Electrical Engineering, or Applied Mathematics, have strong C++ and ML experience, and be able to work effectively in multidisciplinary environments.

Qualifications

• Experience with model compression and optimization techniques.
• Strong experience with real-world noisy data, such as automotive or robotics.
• Ability to communicate technical concepts clearly in a cross-functional team.

Responsibilities

• Design and implement ML models for time-series sensor data.
• Build and maintain data pipelines for collection and preprocessing.
• Collaborate with engineers to create deployable, resource-efficient models.

Skills

Machine learning for time-series data

C++ proficiency

Embedded AI experience

Data science tools (NumPy, Pandas)

Education

Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Applied Mathematics

Tools

Python (PyTorch, TensorFlow)

Jupyter

Job description

Microvast, based in Houston, Texas, is seeking an AI/ML Engineer to develop and deploy machine learning algorithms for multi-sensor time-series data used in vehicles and robotics. This role emphasizes creating efficient ML models, collaborating with cross-functional teams, and applying advanced data science techniques.

The ideal candidate will hold a Bachelor’s degree or higher in Computer Science, Electrical Engineering, or Applied Mathematics, have strong C++ and ML experience, and be able to work effectively in multidisciplinary environments.