Slack, a Salesforce company, is seeking Staff and Senior level Machine Learning Engineers to join their team. This role offers an exceptional opportunity to impact millions of users, working with a platform that processes over a million messages per minute and serves more than 10 million daily active users who spend over a billion minutes daily on the platform.
The position combines practical machine learning engineering with real business impact, focusing on developing and implementing features, services, and models across various applications including summarization, recommendation, ranking, and security. Engineers in this role will work across the technical stack, from building data pipelines and training recommendation models to fine-tuning LLMs and implementing application features.
This is a practical Machine Learning team focused on delivering business value through various approaches, from simple logistic regression to sophisticated, finely-tuned models addressing Slack's unique challenges. The role requires expertise in machine learning frameworks, data processing tools, and programming languages, with opportunities to work on cutting-edge technologies including generative AI and Large Language Models.
The position offers comprehensive benefits including medical, dental, vision insurance, mental health support, paid parental leave, 401(k), and stock purchase options. Working at Slack means joining a team that values technical excellence, mentorship, and continuous improvement of engineering standards. The role provides an opportunity to work on large-scale problems while contributing to a product that millions of people use daily for communication and collaboration.
Ideal candidates will bring 7+ years of engineering experience, strong computer science fundamentals, and expertise in machine learning technologies. The role offers the chance to work with modern ML frameworks, data processing tools, and contribute to the evolution of one of the world's leading workplace communication platforms.