Target

Lead Data Scientist for Competitive Intelligence team focused on competitor product matching using NLP, deep learning, transformers, and GenAI/Agentic AI (RAG, LLM agents, tool use). Role involves designing, developing, and productionizing AIML systems, owning technical direction, architecting end-to-end solutions, and mentoring a team. Requires expertise in modern ML, GenAI, Agentic AI, and production AIML systems.

Principal AI Engineer focused on building and scaling advanced AI capabilities, including agentic and LLM-powered systems, for enterprise-wide automation and optimization. The role involves deep technical leadership, end-to-end solution design, deployment, and establishing robust engineering practices for production AI applications.

Lead Engineer for GenAI at Target, focusing on designing and implementing autonomous AI agents with multi-step reasoning, task planning, and tool usage. The role involves leading development of agent orchestration frameworks, applying LLMs, building evaluation systems, implementing safety mechanisms, and creating data pipelines for training and inference. It emphasizes productionizing GenAI capabilities and adopting emerging technologies within an enterprise retail context.

Senior Director of Search (Data Sciences & Engineering) at Target, leading a global organization of 60+ to build and evolve the end-to-end Search ecosystem. The role focuses on technical strategy, AI innovation, and operational excellence for query understanding, semantic retrieval, ranking systems, relevance AI, search platform architecture, evaluation frameworks, and conversational/agentic search capabilities. Key responsibilities include defining technical vision, leading the transition to agentic search, advancing AI capabilities (embeddings, transformers, RL, LLM reasoning), building AI systems for intent understanding and RAG, establishing evaluation frameworks, driving responsible AI and governance, and partnering with product and engineering leadership. Requires advanced degree, 16+ years of experience in production ML/AI systems, deep expertise in Search/IR, and proven leadership experience.

Principal Data Scientist role focused on designing, developing, and deploying generative AI solutions, including working with Multimodal LLMs and fine-tuning them. The role involves analyzing large datasets, contributing to research, and collaborating with AI/ML engineers to productionize GenAI solutions for retail use cases.

Senior Data Scientist role focused on designing, developing, deploying, and maintaining data science models and tools, with a strong emphasis on Generative AI and Multimodal LLMs. The role involves contributing to research, enhancing model performance, fine-tuning LLMs, and collaborating with AI/ML engineers to build GenAI solutions for retail applications.

Lead Operations Research Scientist at Target, focusing on supply chain optimization using advanced mathematical techniques, AI, ML, and simulations. The role involves problem structuring, data analysis, model development, and project delivery to improve efficiency and profitability.

Senior Engineer focused on Malware Reverse Engineering, leveraging AI-augmented analysis to triage samples, validate machine-generated analysis, and investigate complex malware. The role involves developing reverse engineering skills, analyzing attacker tradecraft, and translating insights into durable detections. Responsibilities include reviewing AI analysis results, identifying inaccuracies, refining analysis, triaging large sample sets, performing targeted reverse engineering on critical code paths, analyzing obfuscation techniques, understanding exploit patterns, and contributing to detection logic development using tools like YARA. The role also involves working with automated analysis pipelines and using Python scripting to enhance tooling.

Sr Data Scientist role focused on Global Supply Chain and Logistics, leveraging operations research, simulation, and machine learning to develop and deploy optimization and ML algorithms at scale. Requires strong computer science fundamentals, experience with production deployments, and proficiency in mathematical modeling and programming languages.

Senior Engineer role focused on integrating LLMs and GenAI into core applications, building systems for AI reliability, and developing agentic frameworks for automation. Requires strong Java backend experience, microservices, and cloud platforms, with a focus on scalable and resilient systems.

This role focuses on applying ML, LLMs, and NLP to improve search ranking within a consumer domain. The primary responsibility is to deploy end-to-end ML models and algorithms into production, with a secondary focus on the inference path. The role requires strong Python programming, experience with MLOps, SQL, and knowledge of search indexing and ranking.

Sr. Product Manager for Pricing at Target, focusing on enterprise-wide price management. This role involves leading the vision, strategy, and roadmap for price decisioning, including expanding the use of AI and explainability for algorithmic recommendations. The product manager will partner with data science, operations, and engineering teams to develop business cases and deliver a flagship Price Product. Experience with forecasting, clustering, and GenAI is required.

This role focuses on applying operations research, machine learning, and AI techniques to solve complex supply chain problems, involving data analysis, model development, and insight generation for a large retail company.

Lead ML Engineer for Target's personalization and recommendation systems on Target.com and the Target App. Focus on designing, implementing, and optimizing production ML solutions, including data pipelining, model optimization, deployment, and API design. Requires strong Python, ML frameworks, cloud ML services, distributed training, serving frameworks, and CI/CD experience. Will mentor junior team members and collaborate with cross-functional teams.

Principal Engineer role focused on defining and driving unified architecture for a store optimization platform. This involves leading the evolution towards intelligent task orchestration, establishing multi-objective optimization frameworks, and ensuring end-to-end system integrity. The role requires embedding observability, guardrails, and explainability into AI-driven systems, and partnering across teams to drive scalable platform design. Experience building and productionizing AI/GenAI systems, including LLMs, RAG, prompting, evaluation, and guardrails, is critical.

Lead Engineer for Threat Hunting & Countermeasures role at Target, focusing on proactive, hypothesis-driven threat hunting using large-scale security datasets, statistical methods, and machine learning. The role involves developing and operationalizing production-ready detections and countermeasures to identify novel or evasive threats, and collaborating with various security teams.

Senior Engineer role focused on integrating AI/ML capabilities into cybersecurity operational processes and applications at Target. The role involves evaluating new AI technologies, prototyping, and developing AI-powered solutions, with a focus on LLMOps and production deployment.

Lead Engineer for Cybersecurity AI Activation and Engineering team, responsible for application architecture and designs for AI-powered capabilities within cybersecurity. Will evaluate new technologies, conduct research and proof-of-concept activities, and contribute to foundational AI/ML capabilities. Focus on LLMOps, solution reliability, and sustainability.

Lead Engineer role focused on integrating GenAI and LLMs into core applications, building agentic frameworks, and improving AI reliability. Requires strong backend engineering skills in Java/Python, microservices, and cloud platforms, with an emphasis on building scalable and resilient AI-powered systems.

Product Manager for an Enterprise AI Platform team focused on AI Context Services. The role involves evolving platform services for GenAI and agentic applications, including Enterprise Search, RAG, Memory, and Connectors. The goal is to build an Enterprise Context Graph for context-aware intelligence. Responsibilities include owning product strategy, roadmap, discovery, stakeholder alignment, and driving adoption.

Lead Data Scientist for the Content Creation team, focusing on building and deploying AI solutions using GenAI, computer vision, and traditional ML for marketing and site content use cases. Responsibilities include end-to-end ownership of algorithmic solutions, from data understanding and feature engineering to model development, validation, testing, and production deployment. The role involves collaborating with cross-functional teams, mentoring junior members, and driving technical strategy.

Lead Operations Research Scientist at Target, focusing on supply chain optimization using advanced mathematical techniques, AI, and machine learning. The role involves developing and applying these techniques to solve complex business challenges, working with large datasets, and collaborating with cross-functional stakeholders to deliver measurable impact.

Senior Engineer role focused on integrating LLMs and GenAI features into core applications, building agentic frameworks, and improving AI reliability within an enterprise retail context. Requires strong backend development skills in Java/Python, microservices, and cloud technologies, with a focus on AI integration and automation.

Lead Engineer responsible for integrating LLMs and Generative AI into core applications, building and scaling agentic frameworks, and implementing safeguards for AI reliability within an enterprise platform.

Principal Engineer role focused on building and scaling agentic AI capabilities within the Merchandising portfolio at Target. This involves owning the technical strategy for AI/agentic features, architecting cloud-native systems, designing agent orchestration flows, delivering production LLM solutions with measurable outcomes, establishing evaluation and quality gates, implementing safety controls, and enabling platform adoption at scale. The role requires influencing cross-team technical direction and mentoring engineers.

This role focuses on designing, building, and integrating systems for e-commerce search, leveraging NLP, deep learning, classical ML, and LLMs to improve query understanding, ranking, relevance, and external search capabilities. The goal is to develop a multi-year vision for search on Target.com.

Sr AI Engineer role focused on AdTech, involving the definition, development, and integration of modules for algorithmic decision making within an ad serving tech platform. The role requires expertise in machine learning, probability theory, statistics, optimization, deep learning, NLP, or computer vision, with a focus on owning the design and implementation of algorithmic solutions from data understanding to production deployment. Responsibilities include driving problem statements, defining metrics, evaluating model tradeoffs, developing data pipelines, articulating technical strategy, and mentoring junior team members.

Lead Operations Research Scientist at Target, focusing on supply chain network optimization. This role involves developing and applying advanced operations research techniques, AI, and machine learning to solve complex business challenges, including simulations, scenario analyses, and optimization methods. Requires strong programming skills (Python, PySpark, R, SQL), experience with large datasets, and working with LLMs and modern ML frameworks. The role emphasizes stakeholder engagement, problem framing, data analysis, and effective communication of insights.

Full Stack Engineer role focused on building and maintaining full-stack applications that support AI/ML workflows, integrating AI/ML models into production systems, and developing backend services using Python and Java. The role is within the VisionML team, working on AI-powered computer vision solutions for store operations and guest experience.

This role focuses on applying operations research, machine learning, and simulation techniques to optimize Target's global supply chain. The scientist will analyze large datasets, develop complex algorithms, and build models for areas like purchasing, transportation, inventory, and last-mile delivery. The role requires strong programming skills in Python/R, SQL, and experience with data pipeline building in the Hadoop ecosystem (PySpark).

Senior UX Researcher for Target's Emerging Experiences team, focusing on future-forward guest experiences across digital and physical touchpoints. Responsibilities include conducting qualitative and quantitative research, defining evaluation criteria for adaptive experiences, and translating findings into product direction. Requires 5+ years of UX research experience, comfort with ambiguity, and experience with various research methods, including experimenting with AI.

Director of Learning and Development Design responsible for leading the strategy, vision, and execution of modern learning design across the enterprise, with a focus on integrating AI-enabled learning experiences and advancing design standards. The role involves leading a team, partnering with business leaders and HR, and ensuring learning solutions drive measurable business outcomes.

Lead the Developer Platform product management team at Target, shaping the strategy and roadmap for the internal developer ecosystem, cloud, and compute platforms. Own products that power how engineers build, deploy, and operate software at scale, focusing on developer experience, self-service capabilities, runtime environments, and cloud infrastructure. Drive improvements in productivity, adoption, reliability, and governance, with a key focus on simplifying interactions through intuitive, self-service experiences and AI-powered automation. Evolve platform capabilities to support modern engineering practices, accelerate delivery, and enable intelligent, resilient systems. This role requires deep partnership across various technical and business teams and involves building, coaching, and mentoring a team of product managers.

Target's Roundel media business is seeking a Category Analytics Lead to own the category-level insight agenda and act as a strategic thought partner. This role involves translating complex data into scalable insights that shape category direction, inform go-to-market decisions, and drive measurable performance outcomes. Requires deep category expertise, strong analytical rigor, and the ability to influence decisions without direct people leadership. The role requires hands-on experience building and applying statistical and predictive models, understanding of the digital media marketplace, and advanced SQL/Excel/PowerPoint skills.

Senior Engineering Manager for the Observability team at Target, focusing on building and leading a team to deliver enterprise-grade observability platforms. The role involves shaping the technical roadmap for a unified, intelligent reliability platform, scaling telemetry pipelines, and embedding reliability into developer workflows. The team is moving towards AI-driven root cause analysis and autonomous remediation, aiming to evolve from reactive monitoring to AI-assisted and autonomous reliability.

Senior Engineer role focused on endpoint security, leveraging GenAI and automation to develop and enhance security controls, improve operational efficiency, and build robust data pipelines. The role involves leading the evaluation, testing, and implementation of security tools, supporting existing products, and researching best practices.

Senior Engineer on the Enterprise Collaboration team responsible for developing and supporting solutions including chat, content management, and personal digital assistance (GenAI). The role involves applying and maintaining knowledge of current and emerging technologies, evaluating new technologies, and initiating research and proof-of-concept activities. Responsibilities include leading design, lifecycle management, and cost of ownership of services, conducting code and design reviews, and providing technical oversight. The role also emphasizes embedding data quality protocols.

Lead Operations Research Manager at Target, focusing on last-mile fulfillment and delivery strategy. The role involves identifying growth opportunities, designing decision systems, and blending operations research, simulation, and data science to improve last-mile performance. Key responsibilities include leading last-mile strategy, building decision models at scale, and driving cross-functional delivery. The role requires experience in Python, SQL, operations research techniques, and applying ML/AI where appropriate.

Sr Product Manager for Target+'s (Marketplace) Item Charter, focusing on seller engagement, compliance, and performance. This role involves defining strategy for the Seller Portal, owning seller lifecycle management, and driving behavior change through data-driven interventions and AI/ML powered insights. Requires strong product judgment, systems thinking, and cross-functional collaboration to deliver scalable solutions for sellers.

This role focuses on leading the maintenance and development of store planning drawing files and documents through the Design Development phases, particularly for complex projects. The individual will collaborate with business partners to ensure drawings and layouts adhere to Target's guidelines and standards, taking on complex projects, quality assurance, and SME responsibilities. The role also involves leading work efforts and special projects while managing multiple projects, and developing, training, and coaching team members.

This role provides administrative support to multiple leaders in a fast-paced retail environment. Responsibilities include managing priorities, problem-solving, and maintaining professionalism. Requires strong communication and organizational skills.

Product Designer for Target's Loyalty UX Team, focusing on creating intuitive, member-first loyalty experiences across web, app, and in-store touchpoints. The role involves the full design process, from discovery to delivery, balancing guest needs with business goals to drive engagement and retention.

This role is for a Sr. Engineer specializing in SAP ABAP (RAP) with experience in Fiori/UI5 and SAP Finance. The engineer will be responsible for developing technology solutions at an enterprise scale, managing revenue, enabling team members, and supporting guest and supplier operations. Key responsibilities include implementing SAP solutions, building custom solutions, optimizing system performance, and delivering high-performance, scalable, and secure deliverables. Experience with SAP Integration Suite and open-source development is a plus.

Target is seeking a Construction Project Manager to oversee the execution of new store, remodel, supply chain, and merchant innovation projects. This role involves managing scope, schedule, and budget, coordinating construction processes, and ensuring quality control. The Project Manager will also be responsible for reviewing contractor bids, negotiating contracts, and managing payments.

This role focuses on conducting consumer research and analyzing data to uncover insights about guest experiences with Target's in-store offerings, aiming to drive engagement and relevance. It involves connecting guest behaviors and perceptions to business performance, partnering with internal and external teams, and managing vendors.

This role is responsible for managing a portfolio of enterprise risk, ensuring visibility into top risks, and supporting leaders in identifying, assessing, and monitoring those risks. It acts as a connector between business leaders and enterprise risk leadership, bringing structure and consistency to risk management processes.

Designer for Wild Fable Sweaters and Cut & Sew Knits at Target, responsible for product research, design, and development, aligning with brand strategies and merchant line plans. Requires expertise in textiles, garment construction, and CAD software.

Software Engineer role focused on developing user-first tooling for global technology inventory management, integrating with other systems, and supporting enterprise data strategy for AI/ML-powered analytics. The role involves designing, developing, testing, and maintaining software solutions, contributing to user-facing applications and backend services, writing clean code, participating in code reviews, and collaborating with cross-functional partners. Requires 1+ years of software development experience and familiarity with modern development frameworks and testing concepts. Nice-to-haves include experience with specific frontend/backend technologies, databases, and cloud platforms.

This role is for a Sr. Manager of Permitting & Licensing at Target. The primary responsibilities include providing leadership and work direction to a team managing permitting and reporting requirements (environmental, fire code, hazardous materials), obtaining and renewing licenses for store and distribution operations, and managing related budgets. The role also involves identifying team metrics, collaborating with internal business partners, managing large volume environmental reporting, and using data/automation to improve efficiency. The ideal candidate has a degree in a relevant field, strong analytical and communication skills, and experience with operational excellence and data-driven process improvement.

This role supports the digital experience at Target, focusing on monitoring production environments, triaging incidents, and resolving issues to improve the guest journey. It involves analyzing operational and guest data, translating technical findings, and serving as an operational liaison between business and technology teams. The role requires proficiency in digital analytics and data platforms, and involves on-call responsibilities.