Elevate your career as a Machine Learning Engineer at Slack. Contribute to impactful projects involving ML models and services that enhance user experiences for over 10 million daily active users. In this mid-level position, you'll be instrumental in developing ML applications for search, recommendations, and security.

You'll collaborate closely with Product Managers and Engineers to design features that drive Slack's growth. The role emphasizes practical ML applications, including training models and refining features, all aimed at delivering tangible business value. Key Responsibilities:
Develop ML models for ranking and retrieval tasks
Collaborate with teams to conceptualize and build current features




Lead multi-functional projects with significant business impact
Own features, ensuring their long-term health and efficiency
Support data collection pipelines for ML feature management Requirements:
Proficiency in programming languages like Python or Java
Experience with ML frameworks such as PyTorch or TensorFlow
Knowledge of data processing tools like Apache Spark
Background in deploying ML models at scale
Solid grasp of algorithms and data structures Combine your machine learning skills with real-world applications at Slack.

📌 Machine Learning Engineer At Slack Toronto (Canada)
🏢 Slack Enterprise
📍 Canada