Canadascout

Senior Software Engineer, Machine Learning

Vaga remota de Machine Learning Engineer com fit claro de localização do candidato.

Publicada20 de jul. de 2026

Países elegíveis1 país aceito

Sinal de senioridadeSenior

Modelo de trabalhoRemoto

Locais aceitos para candidatos

Estados Unidos

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

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