…8+ years of experience in technical roles such as data science, data engineering, or ML engineering, ideally targeting large‑scale production systems. Demonstrated AI…

…and system architecture Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical…

…Our team seeks a self-driven machine learning engineer with strong experience in building ML training pipelines and developing production-quality inference infrastructure. In…

…Experience with hardware-software co-design programs — working directly with compiler, kernel, or runtime teams. Practical experience using AI tools in your own workflow…

…Strong software engineering fundamentals in Scala, Java, Kotlin, or another production language; able to read, modify, test, and review service code in a large…

…In the last 3 years we have improved our engines by a factor of 5x by making changes to the optimizer, query runtime and…

…As a Senior Lead Software Engineer at JPMorganChase within the AI/ML Data Platforms organization, you will lead the architecture and development of production…

…overall operational stability of software applications and systems Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied…

…and practices of the Software Development Life Cycle Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied…

…As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into…

…designing scalable systems for synthetic data generation, building ultra-fast training and RL execution environments, and maintaining high-throughput execution engines. You will tackle…

…Enough software engineering depth to read unfamiliar code, reason about runtime behavior, and hold your own with senior engineers and ML researchers. Familiarity with…

…for engineers who love shipping real systems and iterating quickly. You’ll work on taking models from “works in training” to “meets product constraints…

…Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level kernel/runtime execution. Strong software engineering fundamentals (debugging…

…Responsibilities As a Senior Software Engineer: Design, implement, test, and operate production-quality components across AI frameworks, runtimes, benchmarking systems, performance tooling, and service…

…together software engineers, ML infrastructure engineers, and GPU performance specialists. We build reusable model training, optimization, and deployment capabilities for Amazon product teams, working…

…Analyze complex hardware-software interactions to identify and resolve performance bottlenecks in both training and inference pipelines. Collaborate closely with AI researchers, HW and…

…Analyze complex hardware-software interactions to identify and resolve performance bottlenecks in both training and inference pipelines. Collaborate closely with AI researchers, HW and…

…You will partner with product, engineering, and risk stakeholders to identify emerging threats and implement scalable controls that enable responsible innovation. You will help…

…About The Team The Connected Devices team at Life360 owns end-to-end device software readiness across our portfolio — firmware, app, and cloud engineering…

…Production experience with GCP and/or AWS, paired with solid understanding of trade-offs. Practical experience with Kubernetes (GKE or equivalent) as the runtime…

…8+ years of software engineering experience, or equivalent, including building and operating infrastructure, platform, or delivery systems that other teams depend on. Strong experience…

…engines (e.g., vLLM, SGLang). Hands-on work with LLM inference and training runtimes (deploying LLMs to production, large-scale LLM pre-training and…

…agent runtimes, orchestration, search, execution environments, identity and permissions, observability, and evaluations. This is software and systems engineering rather than model training: success comes…

…Science, Engineering, or a related field 8+ years of experience in Machine learning and software engineering Proven track record of shipping production-grade ML…