…the full ML engineering lifecycle: training, deployment, monitoring, data consistency, experimentation, and governance. - Strong software engineering fundamentals and fluency in Python and/or Scala…

…Evaluate and benchmark performance translation across diverse kernel authoring flows—analyzing code efficiency from high-level DSLs (e.g., Triton, PyTorch) through compiler Intermediate…

…Proficiency using and developing agentic workflows to accelerate software development, infrastructure automation, troubleshooting, and deployment workflows. Broad technical expertise across networking, compute, and storage…

…Mentor engineers, set technical standards for ML infrastructure and MLOps practice, and partner closely with data scientists, data engineers, frontend engineers, product managers, Trust…

…seeking a Senior AI Network Systems Engineer to drive the architecture, integration, validation, optimization, and deployment of large-scale AI networking infrastructure. This role…

…ML use cases, GenAI integrations, third-party AI services, and agentic workflows by identifying potential security, privacy, and compliance risks. Evaluate security risks and…

…Senior/Staff AI Software Engineer to own developer productivity for AIMS: the build, test, and iteration loop that our ML researchers and engineers rely…

…and help shape a safer, simpler digital future. We are seeking a highly motivated Senior IT Engineer to join our IT Engineering — Device Infrastructure…

…Proven experience leading and mentoring senior engineers and architects Ability to partner closely with: AI/ML platform teams, Cloud Platform teams, Infrastructure and data…

…Engineers and other Software Engineers to lead the design and implementation of systems and tools to support the ML initiatives for Apple Retail and…

…provenance, and evaluation — and be accountable for the model outcome, not just the data hand-off. - Prototype and deploy data tools and infrastructure - Collaborate…

…Define benchmarks and evaluations for agent-generated PVA code and use them to improve the compiler optimizations and diagnostics. Develop and actively improve the…

…Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure…

…Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure…

…Develop and maintain core RL infrastructure, including scalable training pipelines and evaluation frameworks. Design and implement new simulation environments and tasks to support training…

…infrastructure, and product teams without direct authority Nice to Have Hands-on prior-career background in ML engineering, data science, or software engineering Familiarity…

…and 1 year of experience with software design and architecture. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization…

…a Senior Software Engineer - Model Evaluation & AI Systems to join the team responsible for validating the quality of our speech, audio, and multilingual models…

…marketplace efficiency, operational reliability, and compliance. We are looking for a Senior Manager, Software Engineering to lead a team of 10–12 engineers across…

…design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software codesign, creating high performance hardware/software interfaces. Evaluate different silicon…

…You will be collaborating with hardware, software, infrastructure, and vendor engineering teams while working across platform bring-up, validation and performance characterization. Your work…

…software development. 7 years of experience leading technical project strategy, ML design, and working with industry ML infrastructure (e.g., model deployment, model evaluation…

…prompt engineering, and AI model capabilities/limitations Experience with CI/CD, DevOps practices, and modern software development workflows Track record of evaluating and implementing…

…Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency…

…efficiently on large GPU/TPU clusters. Drive Cross-Functional AI Strategy: Act as the principal technical visionary across ML Infra, Perception, Behavior, and AI…