Machine Learning Engineer, RAG - San Francisco, CA

🚀 Join Slack's Generative AI Revolution! 🌟

Position: Machine Learning Engineer - Retrieval-Augmented Generation (RAG)

Location: San Francisco, CA (Remote options available)

Salary: $172K/yr - $384.1K/yr

Type: Full-Time

At Slack, we're transforming the future of business with cutting-edge AI and machine learning! Join us as a Machine Learning Engineer in the RAG team and help develop the next-gen AI services used by millions of people every day.

You’ll play a critical role in shaping the future of AI-powered agents, working on innovative generative AI platforms and building scalable RAG technologies. Dive into sophisticated knowledge graphs, deep learning systems, and LLM algorithms as you drive impactful changes in the AI landscape.

What You'll Do:

🔧 Design & Scale powerful RAG services supporting thousands of tenants

🔄 Optimize Systems for performance, automation, and root cause analysis

🧑‍💻 Collaborate with Experts across teams to build impactful features

🚀 Innovate & Lead in AI product development for millions of users

Required Skills:

• 10+ years of machine learning engineering experience
• Expertise in NLP, LLMs, and generative AI
• Hands-on with scalable systems, PyTorch, TensorFlow, Spark, and Kafka
• Experience with vector databases and retrieval systems

Preferred Skills:

• Knowledge of conversational AI, Bayesian methods, and search algorithms
• Experience working with unstructured and graph data

Why Slack?

• Work on AI systems with real-world impact
• Collaborative & inclusive environment with a focus on work-life balance
• Competitive salary, equity, and amazing benefits

🌍 Apply Now and shape the future of AI with Slack!