Senior ML Engineer

We are looking for a Machine Learning Engineer with practical engineering skills and a deep understanding of modern AI systems, including LLMs, RAG architectures, agents, and safety considerations.Success in this role requires the ability to work in ambiguous environments, define measurable objectives, create evaluation methodologies when none exist, and rapidly iterate toward effective solutions.

Responsibilities

* Own machine learning projects from problem definition through implementation. * Design and implement evaluation methodologies for AI and machine learning systems. * Create datasets, benchmarks, and metrics to measure model and product performance. * Evaluate and improve LLM-based systems, including RAG applications, agents, safety systems, and end-to-end AI products. * Analyze model behavior, identify failure modes, and recommend practical improvements. * Build and maintain ML pipelines, tooling, and evaluation infrastructure. * Collaborate with product, engineering, and research teams to translate business goals into measurable ML objectives. * Prototype and iterate rapidly to solve business and product challenges. * Communicate findings, trade-offs, and recommendations to both technical and non-technical stakeholders.

Requirements

* 5+ years of experience in Machine Learning Engineering or a related field. * Strong understanding of machine learning fundamentals and model evaluation. * Strong Python programming skills and experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX. * Experience training, fine-tuning, or adapting machine learning models. * Experience working with Large Language Models beyond simple API integration. * Experience evaluating AI systems and translating results into actionable recommendations. * Experience building and maintaining machine learning systems and pipelines. * Understanding of retrieval-augmented generation (RAG), agentic systems, and LLM safety concepts. * Ability to work ef