Canadascout

Senior Software Engineer, Machine Learning

Rol remoto de Machine Learning Engineer con fit claro de ubicación del candidato.

Publicado20 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Estados Unidos

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

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