Canadascout

Senior Software Engineer, Machine Learning

Remote Machine Learning Engineer role with clear candidate location fit.

PostedJul 20, 2026

Eligible countries1 accepted country

Seniority signalSenior

Work settingRemote

Accepted candidate locations

USA

Role overview

Readable role content extracted into sections for faster review.

Design, develop, and maintain machine learning models and algorithms to solve complex business problems
Identify patterns, trends, and anomalies in the data, and visualize insights using appropriate tools
Assess the performance of machine learning models using appropriate metrics, validation techniques, and testing datasets
Discover opportunities to optimize models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance, and scalability

3+ year of professional software development experience with a focus in machine learning
Deep experience in machine learning algorithms, techniques, and best practices
Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms

5+ year of professional software development experience with a focus in machine learning
BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience
Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices
Experience with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn
Experience with deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs)
Background with NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT