Here’s the professional LinkedIn post based on the provided job details: --- **Hiring: Machine Learning Engineer** **Company:** Intryc (YC S24) **Location:** San Francisco, CA **Job Posted Time:** 2026-09-09 17:57:42 **Employment Type:** Full-time **Target Skills & Keywords:** Machine Learning, LLMs, RAG, NLP, Python, AI, Retrieval Systems **Experience:** - Experience fine-tuning LLMs for domain-specific applications. - Exposure to NLP tasks like summarization, translation, and Q&A systems. - Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). **Required Skills:** - Bachelor's degree in Computer Science, Data Science, or a related field. - Foundational knowledge of machine learning algorithms and model development. - Understanding of LLMs (e.g., OpenAI GPT, Hugging Face models) and their applications. - Basic knowledge of retrieval systems (e.g., Elasticsearch, FAISS, or vector databases). - Familiarity with the RAG paradigm or similar architectures for context-aware systems. - Proficiency in Python and common ML libraries. - Strong problem-solving skills and a passion for learning new technologies. **Qualifications:** - Collaborate with the team to design, implement, and fine-tune ML models, focusing on LLM-based systems. - Develop and enhance Retrieval-Augmented Generation (RAG) pipelines for intelligent query processing. - Work with large-scale datasets to ensure efficient indexing, retrieval, and contextual relevance. - Monitor and improve the performance and scalability of deployed models. - Stay updated with the latest research in LLMs, RAG, and related fields. **Compensation:** - Base pay range: $150,000 - $250,000/year - Generous stock options - Competitive salary - Remote-first policy with 25 days of holiday plus bank holidays - Pension plan - Private health insurance - Latest tech equipment provided **Why Join?** Intryc is a fast-growing YC-backed startup building the performance layer for the blended workforce. You’ll work with ex-Meta, Amazon, and Revolut operators in a high-talent-density, high-agency environment. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team! --- Let me know if you'd like any refinements!