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Staff ML Engineer, Fine Tuning - Slack
Salesforce · Seattle, WA · Posted 88 days ago
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category Software Engineering Job Details
About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES*
Slack is looking for a Staff Machine Learning Engineer with deep expertise in model training and finetuning to join our ML team. You'll design, train, and ship NLP models that power core product experiences — from summarization and search ranking to generative AI features used by millions daily. This role is hands-on: you'll work at a low level with training frameworks, optimize model architectures, build finetuning pipelines, and own the full lifecycle from experiment to production.
At Slack, that impact can be huge:
- We have over 10 million daily active users relying on our product.
- At peak usage, a million messages a minute pass through Slack.
- During the week, our users spend over a billion minutes a day active in our product.
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This posting is sourced from Salesforce's own career site — applying takes you there directly.
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This role is one of 14 Machine Learning Engineer openings in Seattle, WA and centers on Machine Learning, Nlp, Model Training, and Fine-tuning. There are 1,461 open roles at Salesforce right now.
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