Experience 3–6 yrs (3+ years)
About the role
structured by ORIIntrycIntryc is the unified quality assurance, governance, and training…Machine Learning Engineer$150K - $250K•0.30% - 0.50%•San Francisco, CA, US / Remote (US; GB; GR)Job typeFull-timeRoleEngineering, Machine learningExperience3+ yearsVisaUS citizen/visa onlySkillsAmazon Web Services (AWS), Python, Elasticsearch,…
What you will do
- 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 and knowledge retrieval.
- Experiment with and evaluate pre-trained models and fine-tune them for specific tasks.
- Work with large-scale datasets to ensure efficient indexing, retrieval, and contextual relevance.
- Monitor and improve the performance and scalability of deployed models.
What they are looking for
- 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.
Nice to have
- 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).
Benefits
- Generous stock options
- Competitive salary
- Remote first policy with 25 days of holiday a year plus bank holidays
- Pension plan
- Private health insurance
Machine LearningDeep LearningLLMsRAGNLPChatbotsPythonAmazon Web Services (AWS)ElasticsearchFAISSOpenAI GPTHugging FaceGCPAzure
Full posting text
Experience: 3+ years