Junior Algorithm Engineer

1 week ago

Markham ON LR A, Canada HR Tomato Full time

Job Responsibilities:

Assist senior algorithm engineers in algorithm development, testing, and optimization.

Collect, clean, and pre-process structured and unstructured data.

Participate in basic model training, including feature engineering, parameter tuning, and model evaluation.

Implement and deploy existing algorithms into production environments to ensure stable performance.

Prepare technical documentation such as data analysis reports, model descriptions, and optimization notes.

Keep up with updates in common algorithm frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) and conduct experimental validation.

Collaborate with the R&D team on algorithm application, performance monitoring, and real-world deployment.

Job Requirements:

Bachelor's degree or above in Computer Science, Software Engineering, AI, or related fields.

Proficiency in Python and at least one algorithm-related library (NumPy, Pandas, Scikit-learn).

Basic understanding of common machine learning models (e.g., linear regression, decision trees, KNN, SVM, clustering).

Solid foundation in mathematics (probability & statistics, linear algebra).

Strong analytical thinking and data sensitivity; capable of conducting basic experiments independently.

Nice-to-have (not mandatory):

Project experience in machine learning or data analysis

Understanding of deep learning (CNN, RNN, Transformer) or related frameworks

Experience with model deployment (Flask/FastAPI/cloud platforms)

Good communication and teamwork skills, with a willingness to learn new technologies continuously.

Mandarin speaking ability is a strong asset.

Job Types: Full-time, Seasonal, Internship / Co-op

Contract length: 4 months

Pay: $18.00 per hour

Expected hours: 40 per week

Work Location: In person

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