Senior Machine Learning Engineer at Caylent

Yes, the position is 100% remote, and Caylent operates fully remote with employees in Canada, the United States, and Latin America.

Candidates need strong experience in building ML models for real-world applications, at least one of AWS ML Services/SageMaker, ML libraries like Keras/Tensorflow/PyTorch/Scikit-learn, or MLOps tools; experience in big data processing like Spark/Hadoop; and strong understanding of feature definition, hyperparameter tuning, and deep learning concepts.

Benefits include 100% remote work, medical insurance for you and eligible dependents, generous holidays and flexible PTO, competitive phantom equity, paid exams and certifications, peer bonus awards, state-of-the-art laptop and tools, equipment & office stipend, individual professional development plan, annual stipend for learning and development, and working with an amazing worldwide team.

Caylent puts people first, celebrates the culture of each team member, fosters a community of technological curiosity, and supports career growth through weekly 1:1s with managers and work with an amazing worldwide team.

A strong candidate has strong experience building ML models for real-world applications, proficiency in AWS ML services or popular ML libraries and MLOps tools, big data processing skills, deep ML knowledge including hyperparameter tuning and deep learning, plus excellent communication skills.