Machine Learning Engineer PhD (Full Time) – United States

Machine Learning Engineer PhD (Full Time) – United States We are seeking a PhD‑level Machine Learning Engineer to build and deploy next‑generation generative AI solutions. The role focuses on large language models (GPT‑4, Claude, Llama, etc.) and includes neural‑network optimization for natural language processing and machine perception. Responsibilities Collaborate with engineering, security, release, and support teams to design, develop, and deliver high‑impact AI/ML products. Design custom neural‑network layers, experiment with transformer and GAN architectures, and optimize models for performance, scalability, and reliability. Automate model deployment pipelines, maintain production‑ready code, and perform thorough testing. Gather and prepare data, work with cross‑functional teams, and continuously experiment with emerging technologies. Minimum Qualifications Recent graduate or final‑year PhD student in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related field. 3+ years of backend development experience in Go or Python. Deep understanding of LLM infrastructure and optimization, validated by technical interviews, projects, or publications. Hands‑on experience with model building and AI/LLM research, demonstrated via portfolio, code samples, or technical assessments. Preferred Qualifications Experience with inference engines (e.g., vLLM, Triton, TorchServe). Knowledge of GPU architecture and optimization. Familiarity with agent frameworks. Exposure to cloud‑native solutions and platforms. Experience with cybersecurity principles and Python programming, including common AI libraries. Familiarity with distributed systems and asynchronous programming models. We invest in diverse talent and encourage applications from all qualified individuals. Cisco is an Equal Opportunity Employer. #J-18808-Ljbffr