Optimizely jobs

Quality Engineering Optimisation Manager UK - Pencoed posted: Posted Today

Machine Learning Engineer 5 - Decisioning & Optimization New York,New York,United States of America | Seattle,Washington,United States of America | Los Angeles,California,United States of America | Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences. Our Team The Decisioning & Optimization engineering team owns the systems that determine which ad wins every impression, at what price, and how campaign budgets deliver across all inventory surfaces. Our work spans three platform areas: ML infrastructure for model serving : real-time inference at 1M+ QPS, multi-model parallel evaluation, feature hydration, model lifecycle from canary deployment through production monitoring Auction, ranking, and scoring : multi-stage candidate selection, scoring, bid valuation, dynamic pricing, and podding Budget, pacing, and bidding : control systems for delivery optimization, budget planning, and bid computation We are scaling from a handful of production models to 10+ while maintaining sub-20ms P99

Senior Applied Scientist , EC2 Optimization Science Seattle, Washington, USA AWS Elastic Compute Cloud (EC2) Capacity Org is looking for an experienced applied optimization expert. This leader will join the Optimization Science Team to design, implement, and scale decision-making algorithms to manage EC2's virtual and physical capacity systems. EC2 Capacity owns EC2's top-level customer satisfaction metric capacity availability and the forecasting & decision-making systems which drive significant capex investments in server ordering for AWS data centers. Optimization Science is a core team involved in the end-to-end design and implementation of various decision-making systems, which manage the trade-off between capex and capacity availability while matching demand and supply at different planning horizons. The stakeholders and partners include engineering and product management orgs within EC2 as well as the AWS Infrastructure Supply Chain (AIS) organization. We are seeking an expert with a strong background in mathematical optimization with excellent modeling skills, and expertise in the numerical solution of continuous and discrete problems using exact and and heuristic methods applied to very large-scale problems. Experience with decision-making under uncertainty; e.g., robust or stochastic optimization is an advantage. Candidates at the OR/ML interface, and particularly those who have experience applying ML / Gen AI methods to enhance and improve optimization algorithms or optimization-based decision-making systems, are encouraged to apply. The candidate will apply their knowledge to match the end-customer demand for virtual machines to physical resource supply at horizons ranging from five minutes to 13 years. The variety of problems requires principled mathematical decomposition

Full-Stack Engineer 5 - Ads ML & Optimization Tooling New York,New York,United States of America | Los Angeles,California,United States of America | Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. Our Team The Decisioning & Optimization engineering team sits within the Ad Serving & Decisioning org at Netflix Ads. We own the systems that power real-time ad decisioning, delivering relevant, high-quality ads while balancing revenue goals, advertiser outcomes, and member experience. Our work spans ML model serving infrastructure, ranking and scoring, auction mechanics, budget and pacing systems, and goal-based delivery optimization along with podding, traffic shaping models, and more. As our systems grow in complexity and scale, we are investing in tooling and observability to make the decisioning stack fully legible to engineers, data scientists, and ad operations. We are looking for a full-stack engineer with strong analytical instincts and an observability mindset to build the tools and dashboards that make the stack debuggable, measurable, and self-service. What You'll Do Design and build end-to-end internal tools and dashboards that give the team visibility into the ad decisioning stack, from model inference through different stages of auction Build an ad decision debugger: trace the full

Research Engineer - AI Performance & Kernel Optimization San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - AI Performance & Kernel Optimization , you will improve and optimize the performance of our large-scale language model training and inference stacks. You will work closely with our pretraining and inference teams to identify bottlenecks, design and implement highly optimized kernels, and push the limits of throughput, latency, and hardware utilization across a range of accelerator platforms. This role is suited for someone who enjoys deep systems work, cares about performance at every level of the stack, and is excited to translate low-level optimizations into meaningful gains for frontier-scale AI systems. You'll Work Across: - Kernel development and optimization for large-scale ML workloads, using any level of the stack from PTX/assembly to CUDA, HIP, Triton, or other GPU DSLs - Performance tuning for training and inference stacks across GPUs and other accelerators - Profiling and eliminating bottlenecks in memory movement, communication, scheduling, and compute utilization - Optimizing distributed training and inference systems for large MoE models, including large-scale model parallelism - Portability and optimization across non-NVIDIA hardware, with special interest in AMD hardware such as the MI300x and MI355x - Collaboration with research and infrastructure teams to turn systems improvements into real-world model training and inference gains What We're Looking For / Requirements: - Strong engineering aptitude for building reliable, high-performance systems - Excellent low-level performance intuition and the

Quality Engineering Manager Optimisation US - NY - Rochester posted: Posted 8 Days Ago

Pipeline Optimization Engineer Tulsa, OK posted: Posted 8 Days Ago

Senior Math Libraries Engineer - Sparsity in AI 2 Locations posted: Posted Today

Director, Value Enablement & Optimization 4 Locations posted: Posted Yesterday

Senior Electrical Design Optimization Engineer Wroclaw posted: Posted Today

Engineering Manager, Optimize Interfaces Amsterdam This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Optimize Interfaces We're looking for an enthusiastic, self-driven Engineering Manager to lead the Optimize Interfaces team. You will lead the team that develops and owns the engineering foundation behind Adyen Payments Optimization: the backbone that delivers Routing and Signaling as a Service across the global payment processing. As an Engineering Manager, you will build, mentor, and coach a diverse and talented team of backend, machine learning and data engineers. You should be comfortable streamlining the team's engineering operations, refining product requirements together with product and merchants and encouraging effective collaboration. As a critical role in the continued success of our organization, you will help to iterate our culture and build an amazing team environment that will create future leaders for Adyen. What you'll do - Lead the cross-functional Optimization Interfaces team with hands-on technical leadership, driving architecture strategy and raising the bar through active

Plant Optimization Leader 2 Locations What You'll Do You will act as the primary plant optimization subject matter expert inside the plant. Teach, coach and mentor leaders and associates to leverage the pillar methodology to drive a sustainable implementation. You will develop a partnership and work closely with the Regional Plant Optimization Manager to understand the plant organization and culture, tire manufacturing processes, deployment progress to date and resources required to drive the implementation. You will support the Plant Leadership Team in the strategic direction and deployment of Plant Optimization to ensure consistent and rigorous application across the plant = "One Goodyear Way". You will drive the development of a problem solving culture amongst all associates focused on loss elimination to deliver business results. You will lead the PO Specialist and share/benchmark with other plants as appropriate. What We are Looking for: You with Minimus of 5 years in management role within manufacturing environment. You with experience in Driving and implementing continuous improvement methodologies and tools. You with working knowledge and/or experience in implementing Lean principles in a manufacturing environment. You with good understanding of human related implementation issue. Good understanding of the Plant Optimization Process. In depth understanding of a minimum of 2 pillars, more is desired. You with experience in implementing pillars successfully into a plant. Experience in using various problem-solving tools & helping with continuous improvement projects. You with Previous experience as Pillar Leader for Plant Optimization is desired. You with good understanding of human related implementation

Senior Manager, Growth Operations New York NY About GlossGenius GlossGenius is the AI-powered system behind the world's most meaningful appointments, helping 100,000+ service businesses earn more revenue and free up time for the work they love. Our agentic workforce gets more clients in the door, grows profit per appointment, and keeps clients coming back - doing the jobs owners never had time for and couldn't justify hiring to fill. Businesses on GlossGenius process billions in annual payment volume, and see 65% more revenue using GlossGenius Payments by growing ticket size, rebooking clients at checkout, and saving on processing fees. About the Role We're looking for an exceptional operator to serve as the Senior Manager, Growth Operations - the engine behind the engine. Our self-serve growth motion has helped GlossGenius scale to 100,000 active subscribers. This role exists to build the systems, processes, and intelligence infrastructure that keep it running faster every month. You will know the self-serve funnel more deeply than anyone at GlossGenius. You will own the weekly business reviews, run our experimentation operating system, partner with finance on forecasting, partner closely with the GTM Analytics team, and proactively surface the risks and opportunities that keep our growth trajectory on track. This is not a channel execution role - we have exceptional people running paid social, paid search, and lifecycle. This is the role that makes all of those functions more cohesive, more measurable, and maximally impactful. You will also lead and develop a team, bringing the same systems-first

Finance Optimization Analyst Sunnyvale, CA, USA As a Finance Optimization Analyst for Data and Insights, you will be at the forefront of shaping the future of financial data at Google. This is a high-impact role where you will leverage Cloud technology to architect a single source of truth (SSOT) data sets and implement sophisticated role-based access across the product lifecycle. By joining the Cloud Finance Data Stewardship team, you won't just manage data you will become a definitive subject matter expert, driving the insights that empower executive decision-making and fuel Google's financial innovation. We are looking for a visionary professional who is deeply passionate about innovation and growth at the intersection of finance and technology. You are a natural problem-solver who enjoys deconstructing complex issues and architecting elegant, scalable solutions that transform how we operate. As a key driver of efficiency, you take immense pride in empowering the Finance organization through process optimization and insights. You are highly accountable and lead with ownership, ensuring that high-impact projects are executed with excellence and precision. In this role, you will find ample opportunities to expand your technical prowess, particularly in advancing your skills with AI and other technologies as you shape our data landscape. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $141000 - $206000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Drive cross-functional initiatives by partnering with stakeholders to architect and execute

Production Engineer (Oil & Gas) Alternate Job Posting Location | Job City/State Job Group Capability Subsurface, Subsea, Pipelines & Production Engineering Job Group Production Engineering What You Will Do What You Will Do Lead/collaborate with engineers and operators on global teams to analyze well/field performance and advise on production optimization Lead/collaborate with cross disciplinary team of reservoir, facilities, wells, and operations engineers to identify and execute opportunities for production debottlenecking, operations schedule optimization Champion effective production optimization by proactively engaging with stakeholders to address challenges, deliver solutions and process improvements Lead/support periodic assessments of field production system health to identify optimization opportunities Lead/support operator teams for operations schedule optimization, reinstate offline volumes, capacity enhancement, production planning, and downtime optimization Develop, deploy, sustain and apply technologies for oilfield production optimization using data-driven or physics-based methods Conduct screening economic evaluations of well intervention and stimulation operations Manage production data, measurement and allocation quality assurance Influence prioritization and support enhancement of proprietary production engineering technology Develop technical capabilities of team members through training and mentoring About You Bachelor's or Master's degree from a recognized university in petroleum /chemical/ mechanical/other relevant engineering disci

Software Development Manager, Elastic Block Store (EBS), Capacity Optimization Boston, Massachusetts, USA Join Amazon Web Services (AWS) and lead the optimization of one of the world's largest cloud fleets. We are seeking a software development manager for the Elastic Block Store (EBS) Capacity Engineering team to lead a group of engineers focused on optimizing the fleet of servers powering some of the world's largest websites and cloud services. EBS is the solid state drive for the Internet, storing exabytes of data for millions of customers. You will lead the development and operations of software services that predict future demand and drive orders for additional servers in each AWS data center in the world. We continue to optimize capacity to improve the availability of EBS for all customers and push boundaries of cost efficiencies at massive scale, and we want you to own that charter! In this role, you will lead, coach, and grow a team of engineers responsible for creating and optimizing global and regional capacity. The team you will lead is in the process of inventing a new capacity forecasting and planning platform for EBS. This involves building software and mathematical optimization models to balance service, infrastructure, financial, and business constraints. EBS is rapidly expanding to meet the growing data usage by AWS customers, accelerated by the exponential growth of AI workloads. You will lead your team to introduce new machine learning models, algorithms, and agents to automate how we plan and purchase capacity to meet this demand growth.

Base Optimization Specialist London, United Kingdom Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Since our EMEA launch in 2022, Airtable has established a strong regional footprint. From our new EMEA headquarters at Borough Yards in London to our growing teams across France and Germany, we're bringing Airtable closer to our customers and deepening our commitment to their success. As we continue to scale, we are highly invested in what matters most - our people. We believe great products are built by great people, which is why we're looking for exceptional talent to help shape the future of Airtable. Airtable's Ask an Expert function works directly with customers via live calls to assess, restructure, and optimize how they've built on the platform. Sometimes that means resolving architectural limitations in a customer's current environment. Sometimes it means showing them what's possible with capabilities they haven't discovered yet, from AI and automations to interfaces and integrations. We meet customers where they are and help them take the next step. What you'll do - Conduct customer calls to diagnose structural and architectural issues in how customers have built their Airtable environments. You'll assess data modeling, linked record strategy, automation design, interface configuration, and identify where the architecture is limiting the customer's outcomes. - Restructure and rebuild. You won't just advise, you'll get

Plant Optimization Specialist 3 Locations What You'll Do You will execute daily Plant Optimization activities and ensure follow-up where required to support a successful and sustainable implementation Plant Optimization in the plant. You will drive "People & Environmental Care" as a value and help to build a culture of "Zero Loss" while ensuring "One Goodyear Way". You will serve as a Change Agent for Plant Optimization by driving process discipline, quality focus, transparency and accountability. You will provide clear, concise and direct feedback to Plant Optimization Manager and Business Center Team on successes and challenges during implementations. What We'll Need You with Minimum 3 years of working experience in a Manufacturing environment. You are experienced in using various problem-solving tools & helping with continuous improvement projects. You have a good understanding of the Plant Optimization Process. You have good communication skill and continues learning ability. Goodyear is one of the world's largest tire companies. It employs about 68,000 people and manufactures its products in 51 facilities in 19 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.

Edge AI Model Optimization Software Engineer Guadalajara posted: Posted 30+ Days Ago

Senior Machine Learning Software Engineer Kraków, POL posted: Posted Today

Planning & Optimization Engineer Detroit, Michigan posted: Posted 8 Days Ago

FLEX Sr. Manager, Digital Merchandising Optimization Location not specified

Manager, Journeys Strategy & Optimization Toronto, ON, CAN posted: Posted 9 Days Ago

Inside Optimization Specialist - Customer Service - Vet Tech 5 Locations posted: Posted 14 Days Ago