Model Designer Jobs

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ full-stack engineers to shape purchasing experiences and monetization capabilities across OpenAI products. You’ll work across web experiences, product APIs, and shared components, combining strong product judgment with technical depth. The work ranges from improving checkout conversion and performance to enabling new pricing models, offers, and ways for customers to purchase our products. You’ll help identify opportunities, turn ambiguous goals into concrete technical plans, and lead initiatives from exploration through launch. As patterns emerge across products, you’ll develop reusable capabilities that make future launches faster and more consistent. This is a hands-on technical leadership role with substantial ownership over architecture, implementation, and product outcomes. This role is based in San Francisco, with three days per week in the office. In this role, you will: Architect and build purchasing experiences end to end, from frontend interactions through the product APIs and backend integrations that support them. Improve checkout conversion, performance, and reliability through experimentation, product analytics, and customer insights. Develop shared checkout components and monetization capabilities that support new products, pricing models, offers, and distribution channels. Partner with Product, Design, Growth, and Data Science to

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Company: Oak Street Health Title: Senior Manager - Strategic Business Analytics Location: Remote/Virtual Role Description: The Sr. Manager, Strategic Business Analytics is responsible for owning and advancing Oak Street Health’s enterprise performance reporting ecosystem, ensuring leaders across the organization have timely, accurate, and actionable insights to drive decision-making. This role serves as the operational leader for delivery of Blueprint, the OKR dashboard, and Center Performance reporting, while building scalable reporting processes and automation capabilities that reduce manual effort and improve consistency. The role acts as the primary point of contact for strategic analytics requests, balancing ongoing reporting commitments with emerging business priorities. In partnership with Business Intelligence, Governance, Operations, and cross-functional stakeholders, the Sr. Manager ensures reporting solutions remain aligned with governed metric definitions and organizational objectives. This leader will oversee a team of analysts, manage reporting infrastructure and bridge solutions, and drive the transition from manual reporting processes to scalable, automated delivery models that support Oak Street Health's continued growth. Core Responsibilities: Own the delivery, accuracy, and timeliness of Blueprint

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: We are looking for a Staff Systems Engineer - Digital to join our team, the foundational layer that powers access, governance, and intelligence across our digital products. You will work horizontally across engineering, product, and AI teams, leading, owning, and evolving the shared infrastructure that every team at the company depends on. You will be the primary authority on how information is modeled, governed, and served across operational, analytical, and AI workloads - driving quality, compliance, and reliability at scale. If you thrive in a role where your architecture decisions multiply the productivity and capability of entire teams, this is the opportunity for you. Key Responsibilities: Data Architecture & Platform Ownership: Define and own the enterprise data architecture strategy across operational, analytical, and AI/ML workloads Design and govern data models, data contracts, and canonical schemas used across product and platform teams Evaluate and standardize data platform tooling — data lakes, warehouses, streaming, and serving layers (GCP BigQuery, Pub/Sub, Dataflow, or equivalent) Serve as the primary point of contact and SME for shared data platform concerns acro

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary In this role as Manager – FP&A business, you will report to the Lead Director of Service Ops FP&A. You will be responsible for consolidating, reporting and the creation of management presentations and or talking points for forecasts, budget and the strategic plan for the Operations Enablement & Provider Services (OEPS) org within Service Ops. This role will work closely with various leaders within the Business, as well as Finance, ensuring accurate reporting of forecasts, budgets, and strategic plans and providing senior leadership with the appropriate level of detail. The successful candidate should demonstrate strong communication skills, the skill to develop a deep understanding of expense allocations, and the ability to consolidate and report results to business partners and management. You must be able to multi-task and prioritize in a fast-paced environment, work independently with guidance from management, and deliver financial reporting and analysis on both regular and ad hoc frequencies, including creating financial models and supporting exhibits in PowerPoint. We are looking for individuals with a solid understanding of budgeting, forecasting, and analytical financial reporting. Required Qualifications Minimum of 5 years of experience Ability to develop reporting and consolidate results to business p

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities Analyze inline/param/probe/DOE data to identify yield detractors and drive continuous improvement. Apply semiconductor device physics, process knowledge, and statistical tools to troubleshoot yield issues. Collaborate with module engineering teams to diagnose process/tool‑related yield variation and ensure timely resolution. Lead or participate in cross‑functional task forces to solve complex yield, defect, or process integration challenges. Perform root‑cause analysis using FMEA, 8D, SPC, and other structured methodologies. Publish clear Pareto analyses and maintain dashboards for assigned product lines. Support new technology transfer, process baseline setup, and qualification activities. Partner with equipment engineering, shift engineering, and quality teams to address long‑term defect or excursion issues. Conduct material, process, and equipment evaluations and recommend optimization strategies. Ensure product performance meets design and reliability requirements and propose corrective actions when gaps exist. Leverage AI-Enabled and AI-Assisted solutions, including Copilot, YMS Genie, Agentic AI, AI Agents, and Large Language Models (LLMs), to accelerate yield analysis, automate engineering workflows, summarize insights, and enhance diagnostic efficiency. <spa

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsible for understanding the processes used to assess and mitigate risks related to the introduction of new package technologies so that you can improve efficiency and effectiveness by implementing automation, data analysis and machine learning/AI solutions. Set up data bases, develop data ingestion pipelines, and implement automated data analysis and reporting tools. Support problem solving and risk assessment for internal or customer quality issue by pulling and analyzing data. Contribute to the advancement of technology at Micron through mentoring, publishing technical papers (internal and external), and developing innovative solutions to challenging problems. Implement Automation, Data Analysis, and AI Solutions. Collaborate with Engineering teams to Map Package DDQA processes and data streams. Set up and optimize databases and develop solutions to improve efficiency and effectiveness. Understand the needs of internal customers and develop solutions. Support Problem Solving and Risk Assessment for Quality Issues. Pull relevant product information, manufacturing data, and reliability data based on given problem statements. Determine the appropriate dataset and treatment required to answer questions posed by problem solving teams. This could include producing data visualizations, machine learning models, statistical inferences, and web applications. Provide recommendations about root cause findings and product risk, based on data analysis. Collaboratively Communicate Findings and Best Practices. Share best practices with global teams to enable a cultur

Leidos is seeking a highly analytical and curious Data Analyst who is passionate about turning data into actionable business insights. The ideal candidate combines strong technical expertise with critical thinking and exceptional communication skills. This role requires someone who can work independently, uncover meaningful patterns in complex datasets, and communicate findings in a way that drives informed business decisions. *The Data Analyst will be a hybrid role, 50% onsite in the Fort Worth, TX office and 50% remote. The candidate for this role must be within commutable distance to the office location. Primary Responsibilities: Extract, clean, transform, and validate data from multiple sources, including relational databases. Write efficient SQL queries to retrieve, manipulate, and analyze large datasets. Develop Python-based data analysis workflows for data exploration, modeling, and reporting. Perform exploratory data analysis (EDA), including univariate, bivariate, and multivariate analysis. Apply statistical methods and predictive modeling techniques such as linear regression and other statistical evaluations. Utilize AI and machine learning tools to identify trends, generate insights, and improve analytical processes. Build and evaluate machine learning models, including: Regression Classification Clustering Decision Trees Supervised Learning Unsupervised Learning Investigate data anomalies and independently determine the root causes behind unexpected results. Identify the most relevant data elements, metrics, and business questions without requiring extensive direction. Translate complex analytical findings into clear, compelling presentations and recommen

Firmware Engineer BIOS/UEFI Description - The Firmware Engineer is responsible for ensuring that embedded firmware meets the highest standards of quality, robustness, and long‑term reliability. This role works closely with firmware developers, hardware engineers, architecture teams, QA, and cross‑functional partners to define quality metrics, validate system behavior, improve defect detection, and build processes that prevent regressions. Responsibilities Develop, execute, and maintain comprehensive firmware test plans, including functional, regression, stress, corner-case, and long-duration reliability tests. • • • Evaluates the firmware architecture, design and development plus testing methodologies to create strategy and implement methods to bring increased quality and reliability to the firmware. Reviews firmware code and test plans including functional, regression, stress, corner-case and long-duration reliability tests. Perform root-cause analysis for firmware defects, drive containment, corrective actions, and verification of fixes. Create and manage quality dashboards, KPI, failure rates, and reliability metrics. Evaluate failure modes exposed during design, development, manufacturing and field use; propose design or process improvements to prevent recurrence. Works with product architects, firmware teams, product managers and provides critical guidance, system-level debugging and troubleshooting to various teams, as a Subject Matter Expert. Reviews and evaluates designs and project activities for compliance with systems design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk. Create and manage quality dashboards , KPIs, failure rates, and reliability metrics. Validate firmware integration with hardware, BIOS/UEFI, EC, micro

You're the brains behind our work. You're ready to bring your knowledge from the classroom to the boardroom; and Citi wants to help you get there. Whether it's honing your skills or building your network, we know that success can't come without growth. Our programs equip you with the knowledge and training you need to play a valuable role on your team; and establish a long-term career here. At Citi, we value internal mobility, and career growth is not a question of if, but when. Citi is looking for Full Time Analysts to join the Investment Banking team in NAM. The Investment Banking group provides sector expertise and strategic advisory solutions, including mergers & acquisitions, capital raising and other strategic financings to corporate, financial service and public sector clients. We provide you with the knowledge and skills you need to succeed. We're committed to teaching you the ropes. The 2 year Analyst program starts in July. While you're in the Analyst role, you're eligible to participate in Citi's mentorship program, which will provide further training and guidance during and after the program from senior leaders within the firm. Your time here will look something like this... Conduct research and analyze business and industry trends Build financial models, perform valuation analyses, and explore complex transactions across the full spectrum of Citi's business and product capabilities Participate in client development, through working on live transactions and assisting in the generation of new ideas for clients Collaborate with and learn from teams of professionals across the organization We want to hear from you if... You are in your final year of uni

Become a part of our caring community Help shape practical, responsible AI solutions that improve healthcare experiences and outcomes. Humana’s Enterprise AI organization develops safe, scalable AI solutions across our Insurance and CenterWell businesses. We bring together product managers, data scientists, engineers, policy experts, and business leaders to apply emerging technology to meaningful healthcare challenges. As Associate Director of Applied AI, you will lead teams that design, build, and deploy enterprise AI solutions, with a focus on generative AI and intelligent agents. You will connect technical strategy to business needs, guide responsible delivery in a regulated environment, and help teams turn promising ideas into measurable outcomes for members, patients, and associates. Key Responsibilities Lead and mentor teams developing production-ready AI solutions that improve healthcare delivery, member experiences, and business operations. Help define and execute the roadmap for applied AI initiatives in alignment with enterprise priorities and business needs. Guide the evaluation and adoption of machine learning, generative AI, large language models, multimodal models, and intelligent agent technologies. Oversee scalable APIs, frameworks, data pipelines, retrieval-augmented generation solutions, and agent orchestration capabilities. Partner with product, data science, engineering, architecture, security, and business teams to translate requirements into reliable solutions. Establish standards for AI evaluation, obse

NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. Are you ready to take on a senior technical role in building high-performance AI data pipelines? We seek an exceptional individual to design and optimize microservices and data pipelines to process massive volumes of AV data and enable seamless data mining and AI training. The ideal candidate will bring expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation, behavioral search, and AI dataset management. What you'll be doing: Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training. Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management. Deploy AI models. Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns. Analyze and operationalize complex distributed systems for speed-of-light performance. What we need to see: Experience developing high-performance, scalable software systems. MS with 6&#43; years, or BS (or equivalent experience) with 8&#43; years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong programming skills in Python or Golang Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus. Strong architectural skills with a proactive, problem-solving mentality. Experience in data mi

NVIDIA Architecture Modeling group is looking for Architects, Functional Modeling Engineers, and Simulation experts to join various architecture efforts across GPU/ SOC Architecture teams. A key part of NVIDIA's strength is to innovate in parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our SoC and Systems architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip & system architectures and features that advance the state of art in performance and efficiency. What you'll be doing: Modeling and analysis of SoC & Systems algorithms and features, across datacenter, automotive, and client products Build and deliver platforms for SOC's that enable left shift for the SW teams aligned with project milestones Work closely with the SOC architects and guide modeling teams to deliver high-quality functional models that involve SOC&#43;GPU use cases Collaborate with our EDA partners to align on customer-facing technologies Develop tests, test plans, and testing infrastructure for new architectures/features and code coverage analysis and reporting Ensure alignment between the various modeling teams at NVIDIA, GPU modeling teams, and modeling teams overseas What we need to see: Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related relevant field (or equivalent experience) with 5&#43; years of relevant work experience. Strong programming ability: C&#43;&#43;, C along with a good understanding of build systems (CMAKE, make) , toolchains (GCC, MSVC) and libraries (STL, BOOST) Computer Architecture background with experience in modelling wit

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. We are seeking a Senior Mechanical Engineer to support new product development in genomics instrumentation. This is a highly technical mechanical design role focused on the development of custom mechanisms, precision motion systems, and electromechanical assemblies used in advanced instrumentation. The ideal candidate will be an engineer with experience designing motorized mechanisms and precision motion systems, including a strong understanding of system requirements, motion architecture, controls integration, structural design, and performance validation. The ideal candidate also has experience developing motion solutions from requirements through implementation and understands the engineering principles behind achieving precise, reliable motion in complex systems. Responsibilities Design and develop custom mechanical mechanisms for use in genomics instruments, including motion systems, precision assemblies, and fluidic or sample‑handling components. Integrate mechanical designs with electrical, firmware, and control systems Create and maintain 3D CAD models, engineering drawings, and support

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Every experience we build is only as good as our understanding of the person using it. You'll help distill how people actually use New Relic, across classic interfaces and newer surfaces like agentic conversations, into models that let those experiences adapt in ways that feel relevant and contextual. This position is for the Personalization team, starting with a greenfield project! Our stack centers on Java 25, Spring, GraphQL, NoSQL, Kubernetes, Kafka and AWS. If you're passionate about understanding user behavior at scale and want to help shape how New Relic's classic and agentic experiences adapt to the people using them, we want to hear from you. What you'll do Build, maintain, and scale backend services and Kafka-based streaming pipelines that process user behavior data across our AWS infrastructure Design microservices and APIs that expose user segments and behavioral models to downstream surfaces, both classic UI and agentic Turn behavioral signals into segments

Job Title Service Network & Technical Operations Manager Job Description Job title: Service Network & Technical Operations Manager Your role: • Consumer Care & Service Network Management: Manage and strengthen the consumer care and authorized service network to ensure high-quality and timely service support. New Product Introduction (NPI) Training: Plan and conduct technical training for service centre teams on new product launches, product features, repair procedures, and troubleshooting. Spare Parts Management: Ensure availability and proper management of spare parts across service centres, including forecasting, inventory monitoring, and resolution of critical shortages. Safety Case Management: Identify, monitor, investigate, and coordinate closure of product/service-related safety cases in accordance with company safety standards and escalation procedures. Technical Product Knowledge: Develop and maintain strong technical knowledge of products, including functionality, installation, troubleshooting, repair, and common failure modes. Service Centre Claim Management: Manage service centre claims related to warranty repairs, spare parts, labour, and other service activities. Ensure claims are accurately validated, processed, and resolved within defined timelines. Service Quality Improvement: Monitor service performance and identify recurring technical issues, driving corrective and preventive actions with relevant teams. Cross-functional Coordination: Coordinate with Product Development, Quality, Supply Chain, Sales, and Customer Care teams to resolve technical and service-related issues. Performance Monitoring: Track key service network KPIs such as turnaround time, first-time fix rate, repeat complaints, claim closure