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Sr. ML Optimization Engineer, iCloud Cupertino, United States of America In Apple's iCloud services organization, efficiency is not just a technical goal; it's an essential part of our commitment to environmental sustainability and optimal resource utilization. This team plays a pivotal role in ensuring that our cloud services are not only robust and reliable but also efficiently utilize resources at scale. This team also focuses on ML-driven forecasting, capacity planning, resource optimization, and the development of sophisticated cost models for iCloud's large-scale services. As a Sr. ML Optimization Engineer, you will work at the intersection of systems engineering, infrastructure strategy, applied analytics, machine learning, and large-scale optimization. You will have the unique opportunity to collaborate closely with experts, contribute to cutting-edge forecasting and optimization strategies, and directly impact millions of users globally. Our team is at the forefront of driving efficiency in one of the world's largest cloud infrastructures, supporting billions of devices globally. The Sr. ML Optimization Engineer will be a key player in Apple's ongoing efforts to improve the efficiency of its cloud services. This role involves in-depth analysis of infrastructure usage patterns, and data-driven capacity planning to ensure scalability and reliability while minimizing resource wastage. You will help optimize the design, deployment, and operation of iCloud services. You will collaborate closely with engineering teams, data scientists, and finance experts to develop and implement strategies that align with Apple's cloud sustainability and resource utilization principles. You will formulate and solve large-scale optimization problems to allocate capacity, schedule workloads,

Ocean Procurement Optimization Specialist Beaune, Bourgogne-Franche-Comté, France Ocean Procurement Optimization Specialist

Data Scientist II – Performance Optimization Squad Stockholm The Performance Optimization Squad is a newly formed team in the Core Infrastructure Studio with a mission to establish a core competency in performance engineering and address systemic inefficiencies across Spotify's platform. With 3,200+ microservices, 40,000 VMs at peak, and 500,000 K8s pods, even minor fleet-wide efficiency improvements result in substantial cost savings. We've already identified $8M+ in annual savings from our first initiative alone, and we're just getting started. This squad works horizontally across the entire stack - but none of that optimization happens without the data to see it. We're looking for a Data Analyst who will build the measurement foundation that drives every decision we make. The Performance Optimization Squad is a newly formed team in the Core Infrastructure Studio with a mission to establish a core competency in performance engineering and address systemic inefficiencies across Spotify's platform. With 3,200+ microservices, 40,000 VMs at peak, and 500,000 K8s pods, even minor fleet-wide efficiency improvements result in substantial cost savings. We've already identified $8M+ in annual savings from our first initiative alone, and we're just getting started. This squad works horizontally across the entire stack - but none of that optimization happens without the data to see it. We're looking for a Data Analyst who will build the measurement foundation that drives every decision we make. What You'll Do Optimization at this scale is only possible when someone can see the problem clearly. You'll build the data foundation from scratch;

Distributed Training & Inference Optimization Engineer (LLM) - GPU Optimization Department (GPUOD) Tokyo, Japan posted: Posted 30+ Days Ago

AI Specialist - Simulation & Optimization AI Specialist - Simulation & Optimization

Optimization Strategist (f/m/d) London, England, United Kingdom About the opportunity Contentful is looking for a Optimization Strategist ( f/m/d) to join our Field team a business-minded subject matter expert who can walk into a room with a VP of Digital or CMO, command the conversation, and turn optimization and experimentation ambitions into committed business goals. This is a revenue-impacting Field role that sits at the intersection of subject matter expertise and solution selling. Whether you've spent your career selling personalization platforms or you've led optimization and experimentation programs inside a large enterprise and developed a sharp commercial instinct along the way - what matters is that you can walk into a complex sales cycle, earn credibility fast, and move opportunities forward. The right candidate brings a genuine point of view on optimization - how to prioritize it, how to measure it, and how to communicate the vision to leaders who are still figuring out where to start. What to expect? 1. Solution Selling & Field Engagement - Partner with Account Executives to drive pipeline and move opportunities forward - bringing the optimization and experimentation credibility and executive presence that accelerates deals from interest to commitment. - This role influences pipeline and revenue outcomes in partnership with AEs but does not carry an individual quota. - Lead discovery and strategy sessions with senior digital and marketing leaders, mapping business objectives to concrete use cases, content and audience strategies, data flows, and experimentation patterns that make the case for Contentful Personalization and

Optimization Software Engineer Buenos Aires BASSC Madero Office posted: Posted 15 Days Ago

LLM Inference Frameworks and Optimization Engineer San Francisco, Singapore, Amsterdam About the Role At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-efficiency. We are seeking an Inference Frameworks and Optimization Engineer to design, develop, and optimize distributed inference engines that support multimodal and language models at scale. This role will focus on low-latency, high-throughput inference, GPU/accelerator optimizations, and software-hardware co-design, ensuring efficient large-scale deployment of LLMs and vision models. This role offers a unique opportunity to shape the future of LLM inference infrastructure, ensuring scalable, high-performance AI deployment across a diverse range of applications. If you're passionate about pushing the boundaries of AI inference, we'd love to hear from you! Responsibilities Inference Framework Development and Optimization - Design and develop fault-tolerant, high-concurrency distributed inference engine for text, image, and multimodal generation models. - Implement and optimize distributed inference strategies, including Mixture of Experts (MoE) parallelism, tensor parallelism, pipeline parallelism for high-performance serving. - Apply CUDA graph optimizations, TensorRT/TRT-LLM graph optimizations, and PyTorch-based compilation (torch.compile), and speculative decoding to enhance efficiency and scalability. Software-Hardware Co-Design and AI Infrastructure - Collaborate with hardware teams on performance bottleneck analysis, co-optimize inference performance for GPUs, TPUs, or custom accelerators. - Work closely with AI researchers and infrastructure engineers to develop efficient model execution plans and optimize E2E model serving pipelines. Requirements Must-Have: - Experience: - 3+ years

Process Optimization Engineer Houston, TX, US Process Optimization Engineer

Optimization Solutions Architect, OPTICS Seattle, Washington, USA The AWS Industries OPTICS (Optimization Intelligence for Cloud Systems) team has a direct impact on AWS's largest customers' FinOps and Cloud Financial Management strategies. The OPTICS team works to proactively optimize our customer's deployments, identify cost savings, educate stakeholders on cloud best practices & FinOps, and create cost and usage transparency. The OPTICS team is looking for an Optimization Solutions Architect to be hands-on and passionate about working directly with the world's largest and most complex multinational organizations as they transform their solutions & process to be optimized for the cloud. This person will be the subject matter expert on cost optimization and efficiency, leading and supporting customer conversations around cost savings, cost visibility and education on optimization of AWS. This will include generating bespoke recommendations on how customers can optimize their usage of AWS, re-engineering their internal financial processes, and working with partners to ensure ongoing success at scale. It is crucial for this person to be able to drive towards simple, scalable solutions to difficult problems, have excellent project-management skills, be able to communicate complex topics to a variety of audiences, visualize and tell a story with data, and is comfortable while interfacing with the C-suite decision makers. Working with the world's largest organizations, Optimization Solution Architects are not just expected to help their customers build more cost efficient solutions but that their solutions to scale it across all AWS customers. This could cover building solutions for example automation so these

Senior/Staff ML Engineer, Performance Optimization San Francisco, California, United States The Role We're looking for someone who loves optimizing model inference to join us in building the core of ComfyUI - the most complex and bleeding-edge part of our engine. You'll be working on making AI models run faster and more efficiently than anyone thought possible. You are a good fit if this describes you: - You geek out about model inference, torch optimizations, and memory management - You've written production PyTorch code that pushes performance boundaries - You love diving deep into how models actually work under the hood - You get excited about making insanely optimized code that just works - You think the current state of ML deployment could be way better What you'll do: - Build and optimize the core inference engine that powers ComfyUI - Make massive models run faster and use less memory than anyone else - Work directly with our core team on architecting new features - Tackle the hardest technical problems in the visual AI space - Help shape where we take this technology next Bonus: If you've worked with diffusion/LLM models before or built custom nodes for ComfyUI, that's awesome

Sr Dir E-Commerce - Payments Optimization Romania Sr Dir E-Commerce - Payments Optimization

Lead, User Growth Optimization London We are seeking a Lead, User Growth Optimization to elevate our conversion optimization strategy. This role involves both implementing current optimization initiatives and developing future conversion strategies and hypotheses. The successful candidate will report to the User Growth Optimization Director within the Growth team, focusing on increasing subscriptions, reducing churn, and maximizing lifetime value. Join the world's fastest-growing online subscription business in a high-impact role where you will put a personal mark on the success of Spotify by delivering even faster subscriber growth. We are seeking a Lead, User Growth Optimization to elevate our conversion optimization strategy. This role involves both implementing current optimization initiatives and developing future conversion strategies and hypotheses. The successful candidate will report to the User Growth Optimization Director within the Growth team, focusing on increasing subscriptions, reducing churn, and maximizing lifetime value. Join the world's fastest-growing online subscription business in a high-impact role where you will put a personal mark on the success of Spotify by delivering even faster subscriber growth. What You Will Do - Drive conversion optimization across the full user funnel, with a clear focus on subscriptions, retention, and lifetime value. - Develop bold, data-informed experimentation hypotheses based on quantitative analysis, user behavior, and research insights. - Design, build, and iterate on A/B and multivariate experiments that influence messaging, design, localization, personalization, and user journeys. - Implement front-end experiments using HTML, CSS, and JavaScript on Spotify's web surfaces. - Work across a modern tech stack, including React