Senior Staff Machine Learning Infrastructure Engineer – Search & Discovery

🏢 Summary: Senior Staff Machine Learning Engineer role focused on improving product search and discovery systems through advanced machine learning, deep learning, and large language models. The position involves diagnosing bottlenecks, designing and implementing state-of-the-art solutions, and running A/B tests to enhance ranking, retrieval, recommendation, and user modeling at scale. It requires deep expertise in search and recommendation systems within large-scale distributed environments. 🗂️ Requirements: 10+ years experience in Search, Information Retrieval, Recommendation Systems, ML, DL or NLP, Proficient coding skills in Java, C++ or Python, Master’s degree in Computer Science or related field, Experience handling large-scale data in distributed systems, Proven experience delivering impactful ML projects in production environments 📃 Skills: Python, Java, C++, MachineLearning, DeepLearning, NLP, InformationRetrieval, RecSys, LLM, DistributedSystems, ABTesting 🏢 Description: Sr. Staff ll, Machine Learning Engineer - Search We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. About the Role As a Senior Staff Machine Learning Engineer in Search and Discovery, you will leverage the most advanced algorithms to improve Coupang’s product search and discovery quality. You are expected to be a leading expert in one or multiple areas including information retrieval, recommendation systems, machine learning, deep learning or natural language processing. The ideal candidates are pragmatic, resourceful, and embrace challenges that are seemingly impossible. The ideal candidates also have rich industry experience and a track record of delivering highly impactful projects. What You Will Do Root causes the bottle neck of the current search and recommendation systems and quantifies the defects. Propose solutions which address the search and discovery defects and leverage the state-of-the-art technologies, including ML, DL and large language model. Implement the solutions and conduct AB tests. Be a thought leader and able to gain consensus in the organization when needed. Some example projects include: Personalization ranking model and its integration to Search ranking stack. Personalized retrieval Recommendation model for all Discovery interfaces. User understanding and modeling What We’re Looking For Required Qualifications 10+ years of experience in related fields including Search, Information Retrieval, RecSys, ML, DL or NLP. Proficient coding skills in Java, C++ or Python Problem solver, Pragmatic and Open-minded Master Degree in Computer Science or related fields. Experience with handling large data volumes in a distributed environment Preferred Qualifications Love to explore new territory of technology andgo deep ondomainknowledge. Ability to think outside-the-box and challenge conventional wisdom. A passion to explore, improve, automate and optimize distributed systems and tools. PhD in Computer Science or related Engineering majors Bonus points for experience at ecommerce or social network or search companies Pay & Benefits: Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $187,000/year in our lowest geographic market to $322,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending onjob-related knowledge, skills, and experience. General Description of All Benefits: Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Public Holidays Paid Parental leave Pre-tax commuterbenefits MTV - [Free] Electric Car Charging Station General Description of Other Compensation: “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Equal Opportunities for All Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team. Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate.Coupang is also committed to providing a safe work environment for its employees and its consumers. If you need assistance and/or reasonable accommodation in the application of recruiting process due to a disability, please contact us atusrecruiting@coupang.com.

🏢 Summary: Senior Staff Software Engineer role focused on leading the design and development of secure, scalable backend systems, with strong emphasis on security architecture and distributed systems. The position combines hands-on Java development with AWS cloud services, driving authentication, authorization, API security, and secure AI integration at enterprise scale. You will provide technical leadership to ensure reliability, performance, and secure SDLC practices across mission-critical platforms. 🗂️ Requirements: Bachelor’s degree in Computer Science or related field, 8+ years of professional software development and security engineering experience, 7+ years of Java programming experience, Experience designing large-scale distributed systems, Strong knowledge of security architecture, Experience building secure, scalable backend systems, Experience with AWS cloud services, Experience implementing authentication and authorization mechanisms, Experience with cryptography and PKI systems 📃 Skills: Java, Spring, AWS, EKS, S3, Lambda, RDS, IAM, KMS, Microservices, REST, OAuth, OIDC, RBAC, ABAC, SCIM, SSO, Cryptography, PKI, Kubernetes, AI, LLM, RAG, Embeddings 🏢 Description: We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview We are seeking a highly skilled Senior Staff Software Engineer with deep technical expertise in Security and a passion for building secure, reliable, and scalable systems. This role focuses on technical leadership, architecture, and hands-on development to ensure the security and resilience of our core platforms. You will drive the security, quality, and reliability of backend systems while influencing architecture decisions, mentoring engineers, and partnering with product teams on strategic initiatives. What You Will Do Architect and implement secure, scalable backend systems using Java (Spring Boot) and AWS cloud-native services. Lead technical design reviews, enforce security best practices, and ensure system reliability and performance. Develop and integrate security features such as authentication, authorization, and identity management (SSO, OIDC, RBAC/ABAC, SCIM). Design and implement API security patterns and API authorization at scale for microservices and service mesh environments. Embed Generative AI capabilities (e.g., embeddings, RAG, LLM APIs) into product workflows securely and responsibly. Write and review code, unblock complex technical challenges, and make critical architectural decisions. Champion secure SDLC practices, cryptography standards, and compliance requirements. Collaborate with cross-functional teams to define technical roadmaps and deliver mission-critical systems at scale. Minimum Qualifications Bachelor’s degree in Computer Science or related technical field. 8 years of professional software development and security engineering experience. Proven experience designing and developing large-scale distributed systems. Strong knowledge of security architecture Preferred Qualifications Recent hands-on experience (last 3–4 years) building secure, distributed systems at scale, with strong exposure to AI/ML development and hosting in production environments. Experience with cloud platforms (AWS, Azure, GCP) for identity, ML infrastructure, and secure deployment. Familiarity with Generative AI integration and responsible implementation of LLM-based workflows. Exposure to data security principles, including encryption, secure data pipelines, and compliance frameworks. Ability to influence technical direction and mentor engineers in security best practices. Proven track record of delivering mission-critical, scalable systems in production at enterprise scale. Expertise in Java, Spring Boot, and AWS architecture/services (EKS, S3, Lambda, RDS, IAM, KMS). 7+ years of solid experience with fundamental algorithms, system design, and large distributed systems. Deep experience in cryptography and PKI systems, including certificate management and secure key lifecycle 7+ years of coding experience, specifically in Java. Strong knowledge of security architecture, authentication/authorization, and cryptographic principles. Hands-on experience in building large-scale serving and data infrastructure. Experience with service-oriented architecture and web application/services development Practical experience in utilizing AWS (Amazon Web Services). Experience in designing and constructing machine learning-based applications and systems. Experience in leading cross-team system design and execution. Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $174,00/year to $299,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits Medical/Dental/Vision/Life, AD&D insurance Flexible Spending Accounts (FSA) & Health Savings Account (HSA) Long-term/Short-term Disability Employee Assistance Program (EAP) program 401K Plan with Company Match 18-21 days of the Paid Time Off (PTO) a year based on the tenure 12 Public Holidays Paid Parental leave Pre-tax commuter benefits MTV - [Free] Electric Car Charging Station General Description of Other Compensation “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that wouldbe offered to the hired applicant in addition to their established salary range orwage scale. Recruitment Process Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider This job posting may be closed prior to the stated end date for application if all openings are filled. Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below:https://www.coupang.jobs/privacy-policy/ Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com. Job Requisition ID: R0067878

🏢 Summary: Senior Data Engineer role focused on building and scaling a cloud-native data platform and MLOps ecosystem, including data lakes, warehouses, and production-grade ML infrastructure. The position involves designing scalable data pipelines, operationalizing machine learning models, and implementing CI/CD for data and ML workflows in a modern cloud environment. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, Information Systems, or related technical field, 5+ years of experience as a Data Engineer in data and analytics environments, Strong proficiency in data modeling concepts and techniques, Hands-on experience building ETL/ELT pipelines using PySpark, Advanced Python programming skills, Advanced SQL skills including query optimization, Experience with Databricks and cloud data warehousing solutions, Experience operationalizing machine-learning models in production, Hands-on experience with ML tooling (e.g., MLflow, SageMaker, Databricks ML, Kubeflow), Experience implementing CI/CD pipelines for data and ML workflows, Experience containerizing workloads using Docker, Ability to write, test, and debug RESTful APIs, Understanding of model lifecycle management, data versioning, and feature stores, Experience with data quality initiatives such as MDM 📃 Skills: Python, SQL, PySpark, Databricks, S3, Redshift, BigQuery, MLflow, SageMaker, Kubeflow, Docker, CI/CD, REST, MDM, AWS 🏢 Description: Job Description We are looking for a Senior Data Engineer to help evolve and scale our modern data ecosystem, including our data lake, data warehouse, and machine-learning enablement platforms. This role will contribute to the company’s data-driven culture, bring innovative approaches to cloud-native engineering, and help advance our MLOps capabilities to support production-grade AI/ML initiatives. You will collaborate closely with data scientists, analytics engineers, and cross-functional partners to deliver reliable, high-quality data and operationalized machine-learning solutions. Responsibilities Designs and builds scalable data extracts, integrations, transformations, and data models. Ensures successful deployment and provisioning of data solutions across required environments. Designs and implements data architectures and applications that enable speed, quality, and operational efficiency. Interacts with cross-functional stakeholders to gather and define requirements and translate them into technical designs. Develops deep familiarity with enterprise datasets, builds domain knowledge, and advances data quality. Reviews requirements, identifies gaps, and drives resolution with stakeholders. Identifies and recommends continuous improvement opportunities, ensuring integrations are automated, governed, and observable. Serves as a key team member in designing and deploying a ground-up cloud data platform and pipeline. Partners with data scientists to design, build, and maintain reproducible machine-learning pipelines, including feature engineering, model training, validation, deployment, and monitoring. Implements CI/CD for data and ML workflows (model packaging, automated testing, environment management, release automation). Builds and maintains production-grade ML infrastructure such as feature stores, model registries, data versioning, and experiment tracking frameworks (e.g., MLflow). Ensures ML models follow best-practice governance, including automated model performance monitoring, drift detection, logging, observability, and alerting. Designs scalable data pipelines optimized for ML workloads, such as batch, streaming, and real-time inference use cases. Establishes MLOps standards, coding practices, and automation patterns that scale across teams. Qualifications Bachelor or Master`s degree in technical discipline such as Computer Science, Information Systems or another technical field People person, team player with a strong can-do mentality 5+ years of experience as a Data Engineer within a data and analytics environment. Strong interpersonal skills with a collaborative, proactive, and solution-driven mindset. Proficiency in data modeling concepts and techniques. Expertise with Databricks and other cloud data warehousing solutions such as S3, Redshift, or BigQuery. Hands-on experience building data pipelines and ETL/ELT workflows using PySpark for semi-structured data (merge, delete, combine, wrangling). Advanced knowledge of Python and advanced working SQL skills including query optimization. Ability to write, test, and debug RESTful APIs. Experience working in agile, cross-functional environments. Strong analytical, problem-solving, and critical-thinking capabilities. Ability to guide junior engineers and contribute to technical design reviews. Strong communication skills with the ability to present complex concepts clearly. Experience in data quality initiatives such as Master Data Management (MDM). Experience operationalizing machine-learning models in production environments. Hands-on experience with ML tooling such as MLflow, SageMaker, Databricks ML, Kubeflow, or similar. Experience implementing CI/CD pipelines for data and ML workloads, including automated testing, deployment pipelines, and environment configuration. Understanding of model lifecycle management, data versioning, feature store design, and model monitoring concepts. Experience containerizing ML workloads using Docker and deploying them via cloud-native services or orchestrators. Familiarity with monitoring frameworks, experiment tracking, and performance observability for ML models. Highly Desired AWS certifications (any): DevOps experience with CICD & unit/integration testing, Docker containerization, workflow orchestration Databricks certifications – Associate/Professional AWS Certified Solutions Architect – Associate/Professional AWS Certified Developer – Associate/Professional AWS Certified DevOps Engineer AWS Certified Solutions Architect AWS Certified Data Analytics AWS Certified Security - Specialty AWS Certified Cloud Practitioner #LI-JC1The anticipated pay scale for this position can be found below, however the pay range applicable to you may vary by geographic location based on where the job is located or where you work. The final pay offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and years of experience within the job, the type of years and experience within the industry, education, etc. iHerb, LLC is a multi-state employer and this pay scale may not reflect positions that work in other states or locations.Employees (and their families) that meet eligibility criteria as outlined in applicable plan documents are eligible to participate in our medical, dental, vision, and basic life insurance programs and may enroll in our company’s 401(k) plan. Employees will also be eligible for Time Off and Paid Sick Leave pursuant to the company’s policies. Employees will enjoy paid holidays throughout the calendar year. Eligibility requirements for these benefits will be controlled by applicable plan documents. Hired applicant may be awarded Restrict Stock Units and receive annual bonuses pursuant to eligibility and performance criteria defined in the respective plan documents and policies. For more information on iHerb benefits, visit us at iHerbBenefits.com.Anticipated Pay Scale:$116,000—$170,000 USD Staffing Agency Submission Notice iHerb does not accept unsolicited 3rd party ("Agency") candidates. If you are an Agency, please send any requests to be considered as a supplier in our Vendor Management System to staffingvendors@iherb.com. Do not contact iHerb employees directly. If requested to work on a role, any Agency candidates would be presented through the internal recruiting organization. About iHerbiHerb is on a mission to make health and wellness accessible to all. We offer Earth’s best-curated selection of health and wellness products, at the best possible value, delivered with the most convenient experience.We’re the world’s largest eCommerce platform dedicated to vitamins, minerals, and supplements, and other health and wellness products. For more than 25 years, we’ve been making it simple for people all over the world to purchase the highest quality products. From supplements to skincare to grocery items, we ship over 50,000 products, from over 1,800 brands direct to our customers in 180+ countries.Our vision is to become the #1 destination for health and wellness across the world.With a passion for wellness and a mind for innovative solutions, iHerb team members share a vision for a healthier world that drives them each day. Our 5 Shared Values unite our global team: Focus on the Customer · Empower Our People · Be Entrepreneurial & Pivot Quickly · Embrace Diversity & Inclusion · Strive for Simplicity iHerb BenefitsAt iHerb, we are dedicated to offering programs designed to help our employees and their families stay healthy, live well, and plan for their financial future. Built on a strong foundation, our programs provide options and upgrades with flexibility, protection, and security in mind. For the comprehensive benefits list, visit www.iHerbBenefits.com. For our international team members, you may be eligible for benefits depending on the country where you are employed. The Talent Acquisition Partner/local HR representative will go over the benefits you are eligible for. iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.