Careers at Zebra

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position: relative; width: 2934px;\">\n                  <div data-index=\"0\" style=\"float: left; position: relative; transition-property: transform; transition-duration: 0ms; transform: translate(0px, 0px) translateZ(0px); width: 978px; left: 0px;\">\n                     <div class=\"col-md-4 related-blog \">\n                        <a class=\"pointer\" target=\"_blank\" href=\"/r?evt=article_click&ns=smartapply&domain=zebra.com&n=https%3A%2F%2Fwww.zebra.com%2Fus%2Fen%2Fblog.html\" target=\"_blank\" rel=\"noopener\">\n                           <div class=\"blog-image\" role=\"img\" aria-label=\"\" style=\"background: url(&quot;https://www.zebra.com/content/dam/zebra_new_ia/en-us/zebra_dam/photography/web-production/0001/retail-photography-website-blog-store-wfc-voice-incoming-call-ec50-web-1280x270.jpg&quot;) no-repeat;\"></div>\n                           <p class=\"blog-timestamp\"> </p>\n                           <h3 class=\"blog-title\">\n                              <div class=\"clamp-lines \">\n                                 <div>Blog | Zebra</div>\n                              </div>\n                           </h3>\n                           <span class=\"blog-description\">\n                              <div class=\"clamp-lines \">\n                                 <div>Our blog is the go-to industry resource for thought provoking content from across ...</div>\n                              </div>\n                           </span>\n                        </a>\n                     </div>\n                     <div class=\"col-md-4 related-blog \">\n                        <a class=\"pointer\" target=\"_blank\" href=\"/r?evt=article_click&ns=smartapply&domain=zebra.com&n=https%3A%2F%2Fwww.zebra.com%2Fus%2Fen%2Fabout-zebra.html\" target=\"_blank\" rel=\"noopener\">\n                           <div class=\"blog-image\" role=\"img\" aria-label=\"\" style=\"background: url(&quot;https://static.vscdn.net/images/careers/demo/zebra-sandbox/1718309335::zebra2&quot;) no-repeat;\"></div>\n                           <p class=\"blog-timestamp\"> </p>\n                           <h3 class=\"blog-title\">\n                              <div class=\"clamp-lines \">\n                                 <div>About Zebra Technologies Corporation</div>\n                              </div>\n                           </h3>\n                           <span class=\"blog-description\">\n                              <div class=\"clamp-lines \">\n                                 <div>Gain a performance edge by intelligently connecting people, assets, and data with...</div>\n                              </div>\n                           </span>\n                        </a>\n                     </div>\n                     <div class=\"col-md-4 related-blog \">\n                        <a class=\"pointer\" target=\"_blank\" href=\"/r?evt=article_click&ns=smartapply&domain=zebra.com&n=https%3A%2F%2Fwww.zebra.com%2Fus%2Fen%2Fabout-zebra%2Fcompany-information%2Fcorporate-social-responsibility.html\" target=\"_blank\" rel=\"noopener\">\n                           <div class=\"blog-image\" role=\"img\" aria-label=\"\" style=\"background: url(&quot;https://static.vscdn.net/images/careers/demo/zebra-sandbox/1718397549::image3&quot;) no-repeat;\"></div>\n                           <p class=\"blog-timestamp\"> </p>\n                           <h3 class=\"blog-title\">\n                              <div class=\"clamp-lines \">\n                                 <div>Corporate Social Responsibility | Zebra</div>\n                              </div>\n                           </h3>\n                           <span class=\"blog-description\">\n                              <div class=\"clamp-lines \">\n                                 <div>Zebra's Corporate Social Responsibility (CSR) Program focuses on environmental, soci...</div>\n                              </div>\n                           </span>\n                        </a>\n                     </div>\n                  </div>\n                  <div data-index=\"1\" style=\"float: left; 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All Rights Reserved.</strong></span></h3><h3 style=\"text-align: center;\"> </h3><h3 style=\"text-align: center;\"><span style=\"color: #808080;\"><strong>Zebra is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability status, or any other status protected by law.</strong></span></h3>"}, "custom_style": {"font": "https://fonts.googleapis.com/css?family=Poppins%7CVarela+Round&display=swap", "css": ".col-md-9.col-md-offset-2{padding-left:0px;}#eightfold-chatbot .open-chat-bot .chat-bot-title{ margin-right:30px!important;} #eightfold-chatbot .botui-actions-buttons-button.reset-button {\n    background-color: transparent!important; color: #146DA6!important;\n} .botui-actions-buttons-button.something-else {\n    background-color: white!important;\n} .jumbotron {\n    text-transform: capitalize!important;\n}.navbar-nav a{    color: white !important;}.navbar a {    font-size: 16px !important;}.navbar .navbar-brand {    padding-top: 5px;}.top-navigation .navbar-brand {    color: #fff; 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", "title": "Health & Well-Being", "icon": "fa-heartbeat"}, {"title": "Financial Future", "description": "Retirement benefits, Discounted Employee Stock Purchase Program and other resources to help you reach your long term financial goals.", "icon": "fa-piggy-bank"}, {"title": "Work-Life Balance", "description": "Paid time off and flexible work arrangements that allow you to integrate work and home.  Relax, recover, care for family members, honor personal commitments, and more. ", "icon": "fa-user-clock"}, {"description": "Expect fair compensation and equal opportunities for all our employees.", "title": "Competitive Pay", "icon": "fa-sack-dollar"}, {"title": "Inclusion & Diversity", "description": "Be you and feel a sense of belonging in an inclusive working culture offering Employee  Resource Groups and more.", "icon": "fa-handshake perk-icon"}, {"title": "Learning & Development", "description": "Programs and experiences designed to help you grow your career and hone your knowledge and skills, including Tuition Reimbursement. ", "icon": "fa-book-reader"}, {"title": "Volunteer & Giving", "description": "Create a better world for communities and the environment with our volunteering programs & paid volunteer time. Our philanthropic efforts are far-reaching and steeped in generosity and passion of our employees. ", "icon": "fa-hand-holding-heart"}], "privacy": {"title": "Data Privacy", "button": "I Accept", "text": "By entering information here, you agree to submit information related to your application to Zebra Technologies Corporation and its affiliates (\u201cZebra\u201d). Information submitted is subject to Zebra\u2019s <a target=\"_blank\" href=\"https://www.zebra.com/us/en/about-zebra/company-information/legal/privacy-statement.html\" >Privacy Policy</a>. Information submitted in the European Economic Area (EEA), in the United Kingdom and Turkey is subject to Zebra's <a target=\"_blank\" href=\"https://zebra.icims.com/icims2/servlet/icims2?module=AppInert&action=download&id=978791&hashed=-1158610107\" >EMEA Recruitment Privacy Notice</a> and <a target=\"_blank\" href=\"https://zebra.icims.com/icims2/servlet/icims2?module=AppInert&action=download&id=1085014&hashed=76655921\" >Turkey Privacy Consents for Recruitment</a>. Zebra may use and retain your information for up to 6 years as well as provide it to third parties or agencies which may, as applicable, process, transmit, store or retain it for the purpose of complying with applicable laws and regulations. Zebra may use third-party service providers to perform verification and/or background checks who may be located outside the country from which you are applying or reside. You also agree and consent to Zebra\u2019s use of third-party service providers, including but not limited to, iCIMS, Inc., who may process, transmit, and store the information you submit in your application. iCIMS, Inc.\u2019s <a target=\"_blank\" href=\"https://www.icims.com/gc/Talent-Platform-Security-Policy/\">privacy statements and security policies</a> also apply. Please contact iCIMS, Inc. directly if you have any questions or concerns regarding iCIMS, Inc.\u2019s policies.", "logged_out_notifications_text": "When you upload your resume, we provide job recommendations that will be emailed to you on a weekly basis.  You can manage these notifications by selecting Manage Notifications from the email.  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Pipeline & Workflow Development: Build scalable machine learning workflows and pipelines that facilitate efficient data ingestion, model training, and deployment. Model Evaluation & Performance Tuning: Implement best-in-class evaluation metrics to assess model performance, optimize for efficiency, and mitigate biases in LLM applications. Customer Engagement: Collaborate closely with customers to understand their needs, design AI-driven solutions, and iterate on models to enhance user experiences. Research & Innovation: Stay updated on the latest developments in LLMs, agentic AI, reinforcement learning with human feedback (RLHF), and generative AI applications. Recommend novel approaches to improve AI-based solutions. Infrastructure & Deployment: Work with MLOps tools to streamline deployment and serve models efficiently using cloud-based or on-premise architectures, including Google Vertex AI for model training, deployment, and inference. Foundational Model Training: Experience working with open-weight foundational models, leveraging pre-trained architectures, fine-tuning on domain-specific datasets, and optimizing models for performance and cost-efficiency. Cross-Functional Collaboration: Partner with engineering, product, and design teams to integrate LLM-based solutions into customer products seamlessly. Ethical AI Practices: Ensure responsible AI development by addressing concerns related to bias, safety, security, and interpretability in LLMs. Experience: experience in ML, NLP, or AI-related roles, with a focus on LLMs and generative AI. Programming Skills: Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch LLM Expertise: Hands-on experience in training, fine-tuning, and deploying LLMs (e.g., OpenAI's GPT, Meta's LLaMA, Mistral, or other transformer-based architectures). Foundational Model Knowledge: Strong understanding of open-weight LLM architectures, including training methodologies, fine-tuning techniques, hyperparameter optimization, and model distillation. Data Pipeline Development: Strong understanding of data engineering concepts, feature engineering, and workflow automation using Airflow or Kubeflow. Cloud & MLOps: Experience deploying ML models in cloud environments like AWS, GCP (Google Vertex AI), or Azure using Docker and Kubernetes. Model Serving & Optimization: Proficiency in model quantization, pruning, distillation, and knowledge distillation to improve deployment efficiency and scalability. Research & Problem-Solving: Ability to conduct independent research, explore novel solutions, and implement state-of-the-art ML techniques. Strong Communication Skills: Ability to translate technical concepts into actionable insights for non-technical stakeholders. Version Control & Collaboration: Proficiency in Git, CI/CD pipelines, and working in cross-functional teams. Architect / Enterprise Architect Design and conduct Analysis/Experiments (Plan Analysis and Apply appropriate algorithms, Clearly document and articulate Build the profession (Mentor/Coach Junior Data scientists, Experience with Reinforcement Learning (RLHF) for LLMs. Knowledge of vector databases and retrieval-augmented generation (RAG) architectures. Familiarity with multi-modal AI models (vision-language models, speech-to-text, etc.). Understanding of agentic AI frameworks (e.g., AutoGPT, LangChain, LlamaIndex). Hands-on experience with Google Vertex AI Pipelines, AutoML, and model monitoring. We are seeking LLM enthusiast with a knack for research, customer interaction, and building impactful AI solutions Education: Bachelor's/Master's/Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field. B.Tech/M.Tech/PhD in CS/ML/Statistics Problem Solving / Critical Thinking, Good business intuition, Programming and Coding (Python / R), Mathematics and Statistics (Equivalent to Graduate level Stat 101 and Math 101), Machine Learning / Deep Learning / AI, Communication / Appropriate articulation, Data Architecture, Risk Analysis / Systems Engineering To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://careers.zebra.com/careers/job/343625095374", "isPrivate": false}, {"id": 343622448975, "name": "Data Scientist, II", "location": "Pune, India", "locations": ["Pune, India"], "hot": 0, "department": "Engineering", "business_unit": "Sales", "t_update": 1745302080, "t_create": 1726124940, "ats_job_id": "107220", "display_job_id": "107220", "type": "ATS", "id_locale": "107220-en", "job_description": "Design, optimize, and maintain scalable ETL pipelines using PySpark and Databricks on cloud platforms (Azure/GCP). Develop automated data validation process to proactively perform data quality checks. Optimal allocation of cloud resources to control cloud cost. Create and schedule jobs on Databricks platform. Work with GitHub repositories and ensure that best practices are being implemented. Work on Supply Chain Optimization models, such as Demand Forecasting, Price Elasticity of Demand, and Inventory Optimization. Build and tune forecast model, identify improvement opportunities, and perform experiments to prove value. Incumbent is expected to have frequent conversation with Business Stakeholders. Explain data deficiencies, forecast variances, and role of different forecast drivers. Follow best practices in Architecture, Coding, and BAU operations. Collaborate with cross-functional teams, such as Business Stakeholders, Engagement Managers, Data Ops/Job Monitoring, Product Engineering/UI, Data Science, and Data Engineering. Preferred Education: bachelor's in computer science/IT or in similar field with strong programming exposure and master's degree in Statistics/Operations Research/Mathematics/Data Science. 3 - 8 years of experience in Data Science/Data Engineering. Exposure to Demand Forecasting and Inventory optimization in CPG/Retail will be a big plus. Proven experience building and optimizing Data Pipelines/ETL processes in PySpark, DataBricks, Python (Pandas/NumPy) and SQL. Experience working with Git as a collaboration tool. Good understanding of cloud platform - preferably Azure. Exposure to conventional time series forecasting (ESM, ARIMA) and Machine Learning models (GBM, ANN, Random Forests). The role is expected to work independently with very low supervision. Good communication skills, ability to present output to business stakeholder and convey data deficiencies.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://careers.zebra.com/careers/job/343622448975", "isPrivate": false}, {"id": 343623717048, "name": "Computer Vision Algorithm Researcher, Advanced", "location": "Bangalore, India", "locations": ["Bangalore, India"], "hot": 0, "department": "Engineering", "business_unit": "Products and Solutions", "t_update": 1745490720, "t_create": 1733833800, "ats_job_id": "107964", "display_job_id": "107964", "type": "ATS", "id_locale": "107964-en", "job_description": "Lead the development of computer vision and machine learning algorithms and applications Estimate scope, duration, effort and risk on project proposals Lead more junior members of the team in research activities Develop proof-of-concept implementations, prototypes and demos to fine-tune technologies to practical, state-of-the-art systems Perform experiments and evaluations to quantify and validate improvements made to existing systems Use status as a knowledge leader to provide technical leadership to a given program Initiate cross-company collaboration and develop positive relationships with other engineering disciplines Network with key contacts outside own area of expertise. 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Foundational Model Knowledge: Strong understanding of open-weight LLM architectures, including training methodologies, fine-tuning techniques, hyperparameter optimization, and model distillation. Data Pipeline Development: Strong understanding of data engineering concepts, feature engineering, and workflow automation using Airflow or Kubeflow. Cloud & MLOps: Experience deploying ML models in cloud environments like AWS, GCP (Google Vertex AI), or Azure using Docker and Kubernetes. Model Serving & Optimization: Proficiency in model quantization, pruning, distillation, and knowledge distillation to improve deployment efficiency and scalability. Research & Problem-Solving: Ability to conduct independent research, explore novel solutions, and implement state-of-the-art ML techniques. Strong Communication Skills: Ability to translate technical concepts into actionable insights for non-technical stakeholders. 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