Slack jobs

Staff Software Engineer role at Slack focused on the Desktop Framework and Electron infrastructure underlying the Slack desktop client. Role involves strategic leadership on Electron and browser ecosystem, architectural decisions for desktop/frontend infrastructure, and cross-company collaboration on framework migration and performance optimization. Position is remote-first across multiple US locations and offers opportunities to influence desktop security, performance, and developer productivity. Requires deep Chromium expertise and strong cross-functional communication skills.

Staff Software Engineer for Slack's Desktop Client focusing on building the Desktop Framework architectural foundation using Chromium/Electron expertise. Role involves cross-functional leadership on performance, security, and developer productivity. Located in Georgia with office presence; not fully remote.

Slack (part of Salesforce) is hiring a Staff Machine Learning Engineer for its ML team to design, train, and deploy NLP models powering core product features like summarization, search ranking, and generative AI used by millions of daily active users. You'll own the full lifecycle of finetuning large language models—from data curation and training infrastructure through production deployment and monitoring—working with GPU infrastructure at scale and collaborating closely with product and design teams. Required: 5+ years of hands-on experience training and finetuning deep learning models in NLP or related domains (speech, IR, multimodal), proficiency with frameworks like PyTorch or TensorFlow, a track record of shipping finetuned models to production at scale, and strong software engineering fundamentals in languages like Python or Go. This is a practical, product-focused ML role (not research), emphasizing end-to-end ownership and business impact rather than prototype work; compensation ranges from $197,300–$313,700 base annually depending on location, with higher ranges in San Francisco and NYC metro areas. The deal-breaker is the requirement for 5+ years of production-scale model training and finetuning experience—this is a senior, hands-on role that moves models from experiment to serving real traffic, not a research position.