Time-Series AI/ML Engineer for Robotics & Vehicle Systems

SR Staffing; Houston (TX); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Competitive base salary

Benefits package

Job summary

SR Staffing in Houston is seeking an AI/ML Engineer to develop and deploy machine learning algorithms for multi-sensor time-series data from vehicles and robotic platforms. You will collaborate with robotics, controls, and embedded systems teams to build robust models.

The role emphasizes prototyping in Python with PyTorch/TensorFlow and translating prototypes into production-ready C++ code. You will evaluate model performance, improve robustness across platforms, and contribute to data

Qualifications

• Requires degree in CS/EE/Applied Math or related field.
• Experience with embedded/edge AI, model optimization, and deployment workflows.
• Hands-on ML experience with time-series or sensor data.
• Strong C++ skills and experience with modern ML frameworks.
• Experience handling real-world noisy data in automotive/robotics/IoT environments.
• Familiarity with NumPy, Pandas, and Jupyter workflows.
• Ability to communicate technical concepts across cross-functional teams.

Responsibilities

• Design ML models for time-series sensor data (currents, torques, IMUs, etc.).
• Build data pipelines for collection, preprocessing, feature extraction, labeling.
• Prototype algorithms in Python (PyTorch/TensorFlow) and collaborate with embedded engineers.
• Develop production-level models in C++ to improve runtime efficiency.
• Evaluate model performance and improve robustness across platforms.
• Collaborate with robotics and vehicle engineering teams to translate requirements into ML solutions.
• Support data visualization, dashboards, and internal tools for model outputs.
• Document models, experiments, datasets, and results for reproducibility.

Skills

Embedded AI

Edge AI

Model compression

Time-series ML

C++

ML frameworks

Noisy data handling

NumPy/Pandas/Jupyter

Cross-functional collaboration

Real-world data experience

Education

Bachelor's/Master's/PhD in CS/EE/Applied Math

Tools

PyTorch

TensorFlow

ROS

Jupyter

Job description

SR Staffing in Houston is seeking an AI/ML Engineer to develop and deploy machine learning algorithms for multi-sensor time-series data from vehicles and robotic platforms. You will collaborate with robotics, controls, and embedded systems teams to build robust models.

The role emphasizes prototyping in Python with PyTorch/TensorFlow and translating prototypes into production-ready C++ code. You will evaluate model performance, improve robustness across platforms, and contribute to data