Senior Software Engineer, ML

5+ years of industry experience in machine learning, deep learning, or applied AI Proficiency in Python, PyTorch/TensorFlow, and modern ML toolchains (e.g., Hugging Face, OpenAI API, or custom training frameworks) Experience building data pipelines for model training, evaluation, and continuous improvement Understanding of retrieval-augmented generation (RAG), ranking systems, or multimodal architectures Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality Experience mentoring or leading others

Design, build, and productionize ML models for fine-tuned, RAG, and generative AI features. Build and maintain scalable data pipelines for training and evaluation datasets. Collaborate with product and engineering to iterate on datasets, metrics, and model architectures. Work with product engineers to define and deliver AI features. Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment. Explore new ideas and shape the long-term AI vision.