Machine Learning Engineer

November 7

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RAD Intel

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Artificial Intelligence • SaaS • B2B

RAD Intel is an AI-driven marketing intelligence company that analyzes real-time, language-based conversations across platforms like Reddit, TikTok, and X to generate audience insights and optimize influencer and content strategies. Their proprietary RAD Score™ powers audience segmentation, influencer discovery, and content optimization, while offering end-to-end managed services and integrations (e. g. , Adobe) for brands seeking faster, data-driven social campaigns.

11 - 50 employees

Founded 2018

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

📋 Description

• Collaborate with cross-functional teams on conversational AI and other chat bot related tools and LLM integrations. • Work closely with the NLP team to release our own in-house LLMs. • Support in building agent-based automation systems that power our chat bot systems and complete integration with our in-house LLMs. • Build, test, optimize and deploy software components across our ML pipelines while also updating existing AI features with state-of-the-art models. • Maintain robust infrastructure for data ingestion and fine tuning / re-training models. • Stay current on advancements in generative content and advise / inform the team on updating our models / feature space.

🎯 Requirements

• 1–2 years of experience in software engineering • At least 3 years of experience in ML engineering • Experience in using python based application frameworks such as Flask and FastAPI. • Familiarity with Model Context Protocol (MCP) schema design, prompt engineering and orchestration frameworks (e.g., LangChain, LangGraph, etc.) • Familiarity with agent frameworks and distributed task coordination. • Proficiency in Python and experience with ML tools (e.g., scikit-learn, Hugging Face, etc.). • Understanding of ML operations and experiment tracking tools. • Masters’ or PhD in a relevant field (nice-to-have) • Curiosity about LLMs and their focus in real-world applications such as social media based marketing campaigns (nice-to-have) • Experience with data streaming and real-time analysis is a plus (nice-to-have).

🏖️ Benefits

• Collaborative, high-energy culture where your voice is heard • Competitive compensation • Comprehensive benefits (health, dental, vision, life insurance) • Stock options — be an owner in our fast-growing startup • Remote-flexible environment with a strong async culture