Optimizely jobs

Senior Machine Learning Engineer 3 Locations posted: Posted 30+ Days Ago

Sr Software Engineer, Graviton Software, Annapurna Labs Austin, Texas, USA This opportunity is open for Austin, TX. The AWS Graviton Software team is seeking Software Engineers to optimize performance for AWS Graviton. Graviton delivers the best price/performance in AWS data centers. For the past 2 years, Graviton has powered the majority of new EC2 capacity and is used by over 90% of our largest customers. You'll drive performance optimization across open source projects, internal services, and customer applications, working on everything from Linux kernel development to C++/Rust debugging to assembly-level optimization. Our team optimizes a diverse range of applications including databases, web services, games, video encoding, ML, and HPC workloads. This doesn't mean you have or will have all those skills, but you'll have a chance to learn from those who do. This is a unique opportunity to impact how software runs in AWS, while growing your technical breadth and depth. Key job responsibilities As a Graviton Software Developer, you will: Performance Optimization & Analysis - Enhance architectures and algorithms for optimal performance - Use tools like Aperf, sysstat, sysctl, perf to identify bottlenecks - Monitor and analyze processor, OS, and workload metrics - Optimize software performance for AWS customers and AWS services (such as S3, Lambda, EMR, ElastiCache, RDS ..etc) Open Source Development - Contribute to Linux kernel improvements - Contribute to various other open source projects - Develop analysis frameworks and automation systems Tool(s) Development - Enhance APerf (our open-source Rust-based performance tool) - Create new performance analysis

Applied Scientist, Operations Research, Modeling and Optimization (MOP) Bellevue, Washington, USA Amazon's Modeling and Optimization (MOP) team seeks motivated individual with strong analytical and algorithmic skills to optimize the global logistics network and its operations. Key job responsibilities - Enhance global logistics network efficiency through data-driven simulation and optimization - Reduce variable costs by improving network design, inventory placement, process and operational planning, and resource allocation - Optimize capital investment through strategic fixed asset deployment planning - Develop metrics to quantify business impact of implemented solutions A day in the life - Lead development of production-ready algorithms and scientific tools for under-the-roof (UTR) and network process analysis and optimization - Drive planning and execution decisions on operation timing and resource allocation to improve capacity, cost, and speed. - Manage customer interactions, promote science-based processes, and incorporate customer needs into tool improvements. - Partner with team members and customers to exercise judgment on appropriate analysis methods for various business requests. - Interact with and influence adjacent systems and tools, including those for long-term operating policies and daily capacity planning. - Blend scientific expertise with business acumen to deliver impactful solutions across the organization. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas:

Software Development Engineer, Middle Mile P&O Vancouver, British Columbia, CAN The Route Execution Optimization (REO) team in Middle Mile Planning and Optimization (MMPO) is seeking a Software Development Engineer II to build systems that automatically respond to transportation network disruptions-weather delays, facility closures, equipment failures, and driver constraints. You'll design intent-based automation that orchestrates optimal route corrections while maintaining safety, compliance, and efficiency. This role offers the opportunity to solve complex distributed systems challenges at massive scale, affecting hundreds of thousands of loads weekly, directly reducing operational costs and improving driver safety across Amazon's middle-mile transportation network. Key job responsibilities - Design, develop, and maintain scalable distributed systems that process millions of transportation events daily - Build optimization algorithms and machine learning models for forecasting, scheduling, and route planning - Collaborate with scientists, product managers, and operations teams to translate business requirements into technical solutions - Write clean, maintainable code with comprehensive testing and documentation - Participate in code reviews and contribute to engineering best practices - Mentor junior engineers and contribute to team knowledge sharing - Investigate and resolve production issues, ensuring high system availability - Drive continuous improvement in system performance, cost efficiency, and operational metrics About the team Middle Mile Planning and Optimization (MMPO) is an integral part of Transportation Tech Services (TTS) , serving as the primary engine for efficiency and cost savings in surface transportation. MMPO optimizes resource allocation, demand forecasting, route planning, and network equipment balancing while minimizing CO2 emissions. The Route Execution Optimization

Accelerated Growth Consultant, Google Customer Solutions (English, Italian) Dublin, Ireland Businesses of all shapes and sizes rely on Google's unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals. The Accelerated Growth Team (AGT) is a sales team designed to grow small and medium sized businesses in Italy with significant expansion potential. AGT specializes in building full funnel strategies to increase customer's return on investment, scale customer business base, and ultimately make business more net profit. As an Accelerated Growth Consultant, you will be establishing key relationships and consulting to accelerate any type of business, including startups and known brands. Your knowledge of online media combined with your communication skills and analytical abilities will shape the next wave of growth for these companies. You strive to persistently explore and uncover the business needs of Google's highest-potential clients, developing an understanding of how our range of

Senior Data Scientist WARSAW DOWNTOWN OFFICE posted: Posted 30+ Days Ago

Programmatic Advertising Specialist , Advertising Support San Jose, San Jose, CRI The Support Products & Services (SP&S) team is looking for a solutions-oriented and customer obsessed Programmatic Advertising Specialist to help advertisers troubleshoot and optimize self-service display, video, and audio campaigns within the Amazon Demand Side Platform (ADSP). In this role, you will be responsible for providing technical support and strategic consultation to advertisers across campaign setup, creative moderation, performance optimization, delivery, reporting, ad tags and trackers, and general campaign or account-level questions. A successful Programmatic Advertising Specialist will have proven expertise in programmatic advertising platforms and a strong track record of successfully supporting global clients through technical troubleshooting and optimization consultation. They demonstrate advanced communication skills and can effectively articulate complex technical concepts and optimization strategies to advertisers and agencies. They will leverage their hands-on DSP experience and analytical capabilities to help advertisers achieve campaign objectives, diving deep into performance data to identify improvement opportunities and provide strategic recommendations. Key job responsibilities • Responding promptly and accurately to live chat or email support questions, helping advertisers troubleshoot complex issues related to campaign setup, creative moderation, performance optimization, delivery, reporting, ad tags and trackers, or any general questions related to their campaign or account • Conducting optimization analysis, performance reporting, and providing strategic recommendations based on campaign data and industry best practices • Providing onboarding support, explanations of new features, consultation for product usage, and industry best practices to advertisers who reach out through contact us • Analyzing and interpreting

Machine Learning Engineer, Firefly Services 2 Locations posted: Posted 30+ Days Ago

Solutions Consultant - ALM Noida posted: Posted 30+ Days Ago

Compression Optimization Engineer I/II/III Hybrid - Canonsburg, PA EQT is one of the United States' leading producers of natural gas and the first traditional energy company of scale in the world to achieve Net Zero on a Scope 1 and Scope 2 basis. From the office to the field, the #EQTeam is fueling the future. Power your potential with us. At EQT, we are making strides toward becoming the best producer by creating long-term value for all stakeholders, including employees, landowners, communities, industry partners and investors. Our vision is to evolve EQT into a modern, connected, digitally enabled organization. With an incredibly collaborative culture and a determined, progressive workplace, EQT was both named a National Top Workplace, as well as one of Pittsburgh's Best Places to Work! Join our Qrew! EQT is seeking a Compression Optimization Engineer to serve as the primary engineering resource for assigned compressor stations. This role is highly field-focused and works closely with operations and maintenance teams to diagnose equipment issues, improve reliability, and optimize the performance of natural gas compression assets. The Compression Optimization Engineer will support reciprocating compressors and natural gas engines by troubleshooting mechanical and operational issues, supporting major maintenance events, and implementing reliability improvements that maximize throughput, efficiency, and equipment life. The Compression Optimization Engineer I/II/III responsibilities include but are not limited to: Serve as the primary engineering resource for assigned compressor stations, spending significant time in the field supporting operations and maintenance teams. Diagnose and resolve compressor and engine performance issues

Sr. Product Manager, Sales Optimization and Planning Seattle, Washington, USA Amazon Devices is looking for a Senior Product Manager to join the Axiom team within Demand Science Optimization (DSO). Axiom is the sales planning product used by Sales Leaders across Amazon Devices to plan and optimize pricing, promotions, and demand for product lines spanning Product Line Marketplaces across North America, Europe, and Japan. You will own a product workstream end-to-end - from defining the vision and writing requirements, to working with engineering and science teams to ship features that directly impact how Amazon prices and plans for hundreds of millions of dollars in device sales. This role sits at the intersection of GenAI/ML, data platforms, pricing optimization, and UX - and you'll work daily with science, engineering, UX, and business stakeholders to build products that replace manual planning processes with intelligent, automated systems. This is a high-visibility role. Your work will be reviewed by VP-level leadership, and the features you build will be used by Product Line leaders, Finance, and Supply Chain teams across Amazon Devices worldwide. Key job responsibilities - Own a product workstream end-to-end: Define the product vision, write BRDs, PR/FAQs, and user stories. Drive prioritization, make trade-off decisions, and manage the roadmap for your area. - Partner with Science and Engineering: Work with applied scientists on pricing optimization models, demand forecasting, and ML-powered recommendation systems. Translate science model capabilities into product experiences that users trust and adopt. - Ship customer-facing features: Define and deliver features across the

Sr. Production Planner, Amazon Robotics North Reading, Massachusetts, USA Are you inspired by solving complex supply chain challenges? Do you have a passion for driving operational excellence through process improvements and automation? We are seeking an experienced Production Planner to optimize production planning, lead strategic initiatives, and partner across the organization to delight our customers. At the core of the Production Planner role is driving end-to-end planning excellence through the strategic implementation of advanced supply chain planning technology and optimized workflows. This leader serves as a subject matter expert, guiding the technical transition from legacy systems to a modern, integrated planning platform. They will oversee the execution of critical planning processes, including production scheduling, material requirements planning, capacity planning, and inventory optimization. The Production Planner partners cross-functionally to streamline planning processes, eliminate manual tasks, and enhance planning capabilities to improve customer service, reduce costs, and optimize working capital. They will leverage data, analytics, and automation to generate more realistic and achievable plans that align with the company's strategic objectives. Key job responsibilities - Create and maintain production schedules considering equipment, labor, and material constraints - Perform sequence optimization to minimize changeovers and maximize manufacturing throughput - Develop and maintain short-term, medium-term, and long-term capacity models - Identify and resolve capacity bottlenecks through constraint analysis and simulation - Monitor and manage inventory levels and replenishment strategies to optimize working capital - Participate in S&OP process to align supply plans with demand forecasts - Release and manage work orders through their complete

AI Senior Software Engineer Hyderabad posted: Posted Today

Senior Supply Chain Manager , AMZL Speed & Emerging Business Bellevue, Washington, USA Join Amazon's dynamic environment as a (Senior) Supply Chain Manager with a Network Capacity Background, where you will play a crucial role in shaping and optimizing various facets of our operations, concentrating on optimizing and managing the flow of goods, information, or services within the supply chain network. We have exciting opportunities across different business units, each seeking a skilled professional to lead strategic initiatives and drive process improvements, with a specific focus on network capacity and the physical flow of goods or services within the supply chain network. As a (Senior) Strategic Supply Chain Manager with a Network Capacity Background, you'll take end-to-end ownership of operations, emphasizing capacity planning, logistics optimization, network design, and analysis of operational efficiency. In this role, you will collaborate with cross-functional teams, including Business, Operations, Supply Chain, Product, Finance, and more. Utilize your analytical prowess to identify opportunities for operational improvements, implement scalable systems, and drive automation to enhance efficiency, with a particular focus on optimizing the physical flow and operations within the supply chain network. Whether you're managing network capacity initiatives, overseeing cross-functional programs, or focusing on strategic projects, your impact will be visible, ongoing, and contribute directly to our commitment to being the most customer-centric company on earth. Key job responsibilities - Lead strategic initiatives related to network speed optimization within Amazon's various business units. - Concentrate on optimizing and managing the processes and network design. - Balance supply

Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago

Assistant Manager, Procurement Process Engineer Country / Location China About The Role - Lead process improvement projects as focal process engineer for Asia Pacific - Identify opportunities and drive process optimization for direct and indirect Procurement - Implement process optimization measures and ensure change management cross procurement and relevant stakeholders - Improve project methodology competence and foster knowledge sharing within EC Procurement - Foster best practices and increase adoption globally How You Will Do It - Drive process optimization and digitalization from identification of potentials to implementation - Implement globally harmonized solutions - Take on project tasks such as master data migration, training, change management upon need and alignment within project team - Train organization upon need - Ensure proper process documentation What We Look For - Bachelor's degree and above. MBA is a plus. - Min. 3 years working experience with procurement or IT. - Experience in Project Management and process optimization - Good English skills in both writing and speaking. - Open minded and passionate on taking challenging tasks

Applied Scientist II, Amazon Fulfillment Technology (AFT) Science Bellevue, Washington, USA The Amazon Fulfillment Technologies (AFT) Science team is seeking an exceptional Applied Scientist with strong operations research and optimization expertise to develop production solutions for one of the most complex systems in the world: Amazon's Fulfillment Network. At AFT Science, we design, build, and deploy optimization, statistics, machine learning, and GenAI/LLM solutions that power production systems running across Amazon Fulfillment Centers worldwide. We tackle a wide range of challenges throughout the network, including labor planning and staffing, pick scheduling, stow guidance, and capacity risk management. Our mission is to develop innovative, scalable, and reliable science-driven production solutions that exceed the published state of the art, enabling systems to run optimally and continuously (from every few minutes to every few hours) across our large-scale network. Key job responsibilities As an Applied Scientist, you will collaborate with scientists, software engineers, product managers, and operations leaders to develop optimization-driven solutions that directly impact process efficiency and associate experience in the fulfillment network. Your key responsibilities include: - Develop deep understanding and domain knowledge of operational processes, system architecture, and business requirements - Dive deep into data and code to identify opportunities for continuous improvement and disruptive new approaches - Design and develop scalable mathematical models for production systems to derive optimal or near-optimal solutions for existing and emerging challenges - Create prototypes and simulations for agile experimentation of proposed solutions - Advocate for technical solutions with business stakeholders, engineering teams, and senior

Sr. Software Engineer- AI/ML, AWS Neuron Apps Seattle, Washington, USA Shape the Future of AI Accelerators at AWS Neuron Join the elite team behind AWS Neuron-the software stack powering AWS's next-generation AI accelerators Inferentia and Trainium. As a Senior Software Engineer in our Machine Learning Applications team, you'll be at the forefront of deploying and optimizing some of the world's most sophisticated AI models at unprecedented scale. What You'll Impact: • Pioneer distributed inference solutions for industry-leading LLMs such as GPT, Llama, Qwen • Optimize breakthrough language and vision generative AI models • Collaborate directly with silicon architects and compiler teams to push the boundaries of AI acceleration • Drive performance benchmarking and tuning that directly impacts millions of inference calls globally Key job responsibilities You will drive the Evolution of Distributed AI at AWS Neuron As a Technical Leader at the forefront of AWS's AI Accelerator, you'll architect the bridge between ML frameworks including PyTorch, JAX and AI hardware. This isn't just about just optimization-it's about revolutionizing how AI models run at scale. Technical Impact You'll Drive: • Spearhead distributed inference architecture for PyTorch and JAX using XLA • Engineer breakthrough performance optimizations for AWS Trainium and Inferentia • Develop ML tools to enhance LLM accuracy and efficiency • Transform complex tensor operations into highly optimized hardware implementations • Pioneer benchmarking methodologies that shape next-gen AI accelerator design What Makes This Role Unique: • Direct influence on AWS's AI infrastructure used by thousands of ML applications • Full-stack optimization

Last Mile Optimization Manager, Last Mile Optimization Mexico City, Mexico City, MEX Operations is at the heart of Amazon business. We are known for our speed, accuracy and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. In these key roles, you'll come in to help us exceed productivity goals and deliver against our customer promises. Our scale is expansive and our presence is growing. Our goal is simple: to offer the world's greatest selection of products and services with the world's best customer experience. The Last Mile Optimization team's primary mission centers on analyzing and designing on-road operational strategies, leveraging data-driven insights to enhance delivery efficiency. The Last Mile Optimization Manager serves as a crucial liaison between key stakeholders, including delivery station leadership, delivery programs, finance, planning and support teams, ensuring seamless communication and alignment on operational objectives. By implementing sophisticated productivity initiatives and establishing clear performance metrics, the team drives continuous improvement in on-road execution. This strategic approach enables the delivery network to maintain high service levels while maximizing operational efficiency and cost-effectiveness across the entire last-mile operation. Key job responsibilities 1. Seek the best efficiency in our Last Mile operations design 2. Manage day-to-day relationships with multiple Delivery Stations and stakeholders 3. Problem-solves for closing gaps between performance and goals using lean and six sigma principles 4. Works with key business partners such as Planning, Fulfillment Experience , Finance, Business Coaches, Operations, ACES, HubDP, eDSP, and Topology 5. Determinate

Sr. Analytics Program Manager, MMPO Bellevue, Washington, USA Amazon's Middle Mile Transportation Technology team is chartered with building complex software solutions that work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers, owner operators and drivers worldwide, manage business rules for millions of unique products, and improve ordering and delivery experience for millions of online shoppers. Our mission is to build the most efficient and optimal transportation solution on the planet, using our technology and engineering muscle as our biggest advantage. We aim to leverage advanced technologies in big data, machine learning, and optimization techniques, and operate high volume, low latency, and high availability services. We are looking for a Sr. Analytics Program Manager to be part of Middle Mile supply and routing optimization team. As part of this team you would work on program management for supply optimization, work with business stakeholders to drive process improvement, generate ideas, and validate entitlement based on true production behavior. You will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics through long form documents to senior leadership. You will have broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. You'll work in a fast-paced environment and will be required to lead

Account Solutions Consultant, Customer Experience Orchestration London posted: Posted Yesterday

Business Performance Manager India - Hyderabad posted: Posted 4 Days Ago

Senior Manager, AI, and Data Engineering 4 Locations posted: Posted Today

Applied Scientist, Amazon Prime, Prime AI/ML Science Seattle, Washington, USA Interested in modeling and understanding customer behavior through machine learning, artificial intelligence, and data mining over TB scale data with huge business impact on millions of customers? Join our team of Scientists and Engineers developing models to predict customer behavior and optimize the customer experience with Amazon Prime. This includes identifying who our customers are, modeling customer behavior, and creating personalization systems to optimize the experience. As an ML expert, you will partner directly with product owners to intake, build, and directly apply your modeling solutions. There are numerous scientific and technical challenges you will get to tackle in this role, such as global scalability of models, combinatorial optimization, cold start problem, accelerated experimentation, short/long term goals modeling, GenAI based content creation, foundation modeling, and multi-step optimization leading to reinforcement learning of the customer journey. We employ techniques from GenAI, LLMs, deep learning, supervised learning, bandits, optimization, and RL. As the central science team within Prime, our expertise gets routinely called upon to weigh in on a variety of topics. We also emphasize the need and value of scientific research and have developed a strong publication and patent record (internally/externally) which you will be a part of. You will also utilize and be exposed to the latest in AI/ML technologies and infrastructure: AWS technologies (EMR/Spark, Redshift, Sagemaker, DynamoDB, S3, ...), various AI/ML algorithms and techniques (GenAI, LLMs, transformers, sequential models, Neural Networks, supervised/unsupervised/semi-supervised/reinforcement learning), and statistical modeling techniques. Major responsibilities