Senior Machine Learning Engineer

Job Description

What you get to do in this role: Generate and evaluate synthetic data tailored to improve the robustness, performance, and safety of machine learning models, particularly large language models (LLMs). Train and fine-tune models using curated datasets, optimizing for performance, reliability, and scalability. Design and implement evaluation metrics to rigorously measure and monitor model quality, safety, and effectiveness. Conduct experiments to validate model behavior and improve generalization across diverse use cases. Collaborate with engineering and research teams to identify risks and recommend AI safety mitigation strategies. Participate in the development, deployment, and continuous improvement of end-to-end AI solutions. Contribute to architectural and technology decisions related to AI infrastructure, frameworks, and tooling. Promote modern engineering practices including continuous integration, continuous delivery, and containerized workflows. Key qualifications: 5+ years of experience in machine learning, deep learning, and AI systems. Proficiency in Python and frameworks like PyTorch, TensorFlow, and NumPy. Experience in synth