Machine Learning Engineer II

Essential Functions :

• Designs, develops, and deploys machine learning models for real-world applications.
• Builds scalable pipelines for data ingestion, pre-processing, training, and inference.
• Owns end to end development of machine learning algorithms including data analysis, feature engineering, model development, training, validation, and performance evaluation.
• Designs, implements, and optimizes retrieval-augmented generation (RAG) pipelines that combine large language models (LLMs) with vector search / retrieval systems.
• Builds data ingestion and embedding pipelines for efficient indexing and retrieval.
• Fine-tunes and adapts LLMs for domain-specific tasks such as instruction tuning, prompt engineering, low-rank adaptation (LoRA), etc.
• Engages in both engineering and research, exploring latest ML algorithms, solution architectures, and cutting-edge approaches to improve retrieval and generation performance.
• Works with stakeholders to translate business requirements into robust technical solutions that deliver measurable impact.
• Works with engineering teams to continuously scale and advance machine learning across the organization.
• Identifies new opportunities of applying ML technology to improve business workflows and processes.
• Builds a deep understanding of the company's products, services, data, and customers to deliver impactful solutions.
• Performs other related duties and projects as business needs require at direction of management.

Education and Experience :

Pay Range : $117,000 - $146,000 / YR