…Experience with ML/AI platforms, including feature engineering, model training, or GenAI workflows. Familiarity with Kubernetes and cloud-native technologies. Experience with Alibaba Cloud…

…Proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or similar. Strong software engineering fundamentals, including system design, debugging, testing…

…concepts. - Technically adept and comfortable working with engineering teams to understand product capabilities. - Knowledge of AI/ML infrastructure, model training, and post-training concepts…

…Proven ability to design, implement, and optimize scalable ML architectures, from distributed training to real-time inference. Strong software engineering skills in Python, C…

…Experience with ITAR-regulated, air-gapped, export-controlled, or similarly constrained environments Experience operating local LLM inference with Ollama, MLX, vLLM, llama.cpp, or…

…Experience with ITAR-regulated, air-gapped, export-controlled, or similarly constrained environments Experience operating local LLM inference with Ollama, MLX, vLLM, llama.cpp, or…

…Experience with AI/ML systems and the privacy considerations of training and inference on sensitive data. Experience with cloud platforms (Azure preferred) and large…

…of AI and hardware optimization, we want you to join our team! As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE…

…registers, DMA, command queues, or similar accelerator interaction patterns Experience shipping production system software Experience building or extending ML runtimes, inference engines, or accelerator…

…As a software engineer in AiDP reliability engineering you will work on one or many projects related to GenAI, ML, Inference and Big data…

…a Senior Software Engineer on the ML Infrastructure team, you will design and implement the core backend and infrastructure powering our AI systems. You…

Meta is seeking a Software Engineer to join the MTIA (Meta Training & Inference Accelerator) Software Tooling team, which develops and maintains the tooling ecosystem…

…ONNX based cross-platform, high performance ML inferencing and training accelerator. Foundry Local: an on-device AI inference solution offering performance, privacy, customization, and…

…This is a role of a Software Engineer who has deep systems thinking to design, build and enhance scalable and highly concurrent ML/AI…

…Experience with ML/AI platforms, including feature engineering, model training, or GenAI workflows. Familiarity with Kubernetes and cloud-native technologies. Experience with Alibaba Cloud…

…Required - 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles - 3+ years of people management…

…technical leadership, mentoring engineers, and establishing engineering standards across a team or organization Desired Qualifications: Experience supporting AI/ML platforms, inference services, model-serving…

…in Computer Science or a related technical discipline, or equivalent experience 15+ years of software engineering, systems engineering, or technical product/program management experience…

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer…

…About You 3+ years of software engineering experience (or 2+ with a Master's) in computer science, engineering, or equivalent practical experience. Staff-level…

…Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is seeking talented and experienced Software Engineers…

…Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is seeking talented and experienced Software Engineers…

…The role focuses on building, integrating and maintaining complex real-time systems within a large production software stack. Deep understanding of machine learning inference…

…Develop observability to track ML model lifecycles from data generation to on-road validation. Maintain an in-house ML inference platform to serve large…

…Develop observability to track ML model lifecycles from data generation to on-road validation. Maintain an in-house ML inference platform to serve large…