Engineer -AI/ML -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

AI/ML Engineer – Time Series & Robotics

Are you ready to be part of a company that’s not just talking about the future, but energetically shaping it? Join the Microvast Team (NASDAQ: MVST), a technology innovator that designs, develops and manufactures lithium‑ion battery solutions. Founded in 2006 and headquartered in Stafford, TX, Microvast is renowned for its cutting‑edge cell technology and its vertical integration capabilities, which extend from core battery chemistry to battery packs. By integrating the process from raw material to system assembly, Microvast has developed a family of products covering a broad breadth of market applications. For more information, visit www.microvast.com.

Role Summary

The AI / ML Engineer will develop and deploy machine learning algorithms that analyze multi‑sensor time‑series data from vehicles and robotic platforms. This position focuses on building robust models that improve system performance, monitoring, and intelligent behavior, working closely with robotics, controls, and embedded teams.

Key Responsibilities

• Design and implement ML models for time‑series sensor data (e.g., currents, torques, IMUs, joint states, vehicle signals, cameras, GPS).
• Build and maintain data pipelines for collection, preprocessing, feature extraction, and labeling.
• Prototype algorithms in Python (e.g., PyTorch, TensorFlow) and collaborate with embedded engineers to create deployable, resource‑efficient models.
• Create production‑level models using C++ to improve efficiency in runtime and resource use from the Python prototype.
• Evaluate model performance using appropriate metrics; iterate to improve robustness and generalization across platforms and use cases.
• Work with robotics and vehicle engineers to understand requirements and convert them into concrete ML problems and model specifications.
• Support data visualization, dashboards, and tools for internal users to interpret model outputs and system behavior.
• Document models, experiments, datasets, and results to ensure reproducibility and traceability.

Required Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
• Experience with embedded / edge AI or model compression and optimization techniques.
• Hands‑on experience with machine learning for time‑series or sensor data.
• Strong proficiency in C++ and ML frameworks.
• Experience working with real‑world noisy data (e.g., automotive, robotics, industrial, IoT).
• Familiarity with data science tools and workflows (NumPy, Pandas, Jupyter, etc.).
• Ability to work in a cross‑functional team and communicate technical concepts clearly.

Preferred Qualifications

• Familiarity with control systems, robotics, or vehicle dynamics.
• Experience with MLOps tools (experiment tracking, model versioning, CI/CD for ML).
• Experience with ROS or other multimodal sensor data frameworks.
• Prior work in a product or R&D environment with multi‑disciplinary teams.

Expected Compensation

Annual salary + benefits. Pay offered may vary depending on multiple individualized factors, including market location, job‑related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Equal Opportunity

Microvast is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws. Microvast is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

Legal Requirements

Applicants for employment at Microvast must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Privacy

Privacy is a top priority for Microvast. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Privacy Policy – Microvast.