Support the implementation of AI in engineering workflows, improving design and validation procedures with focus on reliability, safety, and clear failure modes.
Contribute to ML solutions for the new e-vehicle product from feature engineering, data analysis, model selection, training, validation and testing and performance analysis.

Requirements

Must be currently enrolled in a Bachelor’s program or higher from an accredited college/university OR have recently graduated within 1 year of the position start date (May/June)
Strong understanding of supervised/unsupervised learning
Ability to train, evaluate, and tune models
Knowledge of Matlab, Python (focus on data processing and modeling)
Experience with ML libraries (NumPy, Pandas, Matplotlib, PyTorch, TensorFlow, scikit-learn, etc)
Knowledge of data cleaning, feature extraction and labeling
Knowledge of handling large telemetry/CAN-bus datasets
Basic understanding of signal processing
Strong oral and written communication skills
Solid organizational skills
Creative mindset
Interpersonal skills and ability to work in a team environment

Benefits

Professional development and networking events, including resume reviews/mock interviews
Housing and transportation stipend
Employee resource groups
Event ticket offering (based on corporate availability)
Company social events

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

supervised learningunsupervised learningmodel trainingmodel evaluationmodel tuningdata processingdata analysisfeature engineeringsignal processingdata cleaning

Soft Skills

oral communicationwritten communicationorganizational skillscreativityinterpersonal skillsteamwork