Senior Staff Machine Learning Infrastructure Engineer – Search & Discovery

Join the Coupang team as a Senior Staff Machine Learning Infrastructure Engineer focusing on Search & Discovery. In this pivotal role, you will drive the development and optimization of our machine learning infrastructure, ensuring our systems can meet the demands of millions of users.We are looking for experts who are passionate about leveraging cutting-edge technology to deliver exceptional user experiences. Your contributions will directly impact how our customers interact with our platform, making shopping, eating, and living easier than ever.

At Coupang, we are dedicated to delivering an exceptional experience for our customers. Our goal is to elicit the reaction, "How did we ever live without Coupang?" With a relentless passion for simplifying shopping, dining, and living, we are transforming the multi-billion-dollar e-commerce landscape from the ground up. We have rapidly emerged as one of the leading e-commerce companies in South Korea, known for our reliability and innovation. We embody the best of both worlds — a startup-like atmosphere paired with the resources of a global public enterprise. This unique combination propels our growth and accelerates the launch of new services, maintaining the swift pace we established at our inception. Our team is filled with entrepreneurial spirits eager to initiate new projects and innovations. At Coupang, you will witness personal, team, and company growth each day. Our mission to revolutionize commerce is genuine. We continuously push the limits of what is achievable, tackling challenges and dismantling traditional trade-offs. Join Coupang and contribute to creating an extraordinary experience in today’s fast-paced, technologically advanced, and interconnected world. Role Overview As a Senior Staff Software Engineer in the ML Infrastructure team for Search & Discovery, you will be tasked with designing and implementing robust and efficient software solutions that manage vast amounts of structured and unstructured data necessary for training complex machine learning models and serving them effectively online. The Search & Discovery team is pivotal in optimizing our customers' navigation experience and driving sustained growth. Each week, over 20 million customers utilize search on our app or coupang.com, with more than a third making purchases. A significant portion of Coupang's sales is directly linked to search and recommendation features, with many business strategies and growth initiatives being influenced by ranking and recommendation algorithms. This position offers a chance to develop scalable offline and online machine learning platforms to support ranking, recommendation, and business decision-making. You will work with billions of user interaction records and petabytes of raw log files, converting them into actionable data formats for engineers and scientists. Additionally, you will be responsible for delivering complex machine learning models in real-time, facilitating millions of Coupang customers in discovering and searching for products. If you are passionate about big data engineering, scalable serving systems, and making a tangible business impact, this role is an excellent fit for you.

Your Role at MoveworksDevelop and enhance core infrastructure services and microservices that support our machine learning, frontend, and platform teams.Implement critical functionalities such as distributed configuration management, rate limiting, feature flagging, A/B testing, and traffic capture and replay.Optimize the performance, scalability, and observability of Moveworks cloud infrastructure.Consistently deliver time-sensitive projects in collaboration with other engineering teams.Take full ownership of features from inception to deployment while actively influencing the infrastructure roadmap.Engage in a highly collaborative, in-person role, working across various teams including Core and ML engineering.

Waymo is a pioneering company in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has committed to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives lost in traffic accidents. Our technology powers a fully autonomous ride-hail service and can be adapted to various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving more than 100 million miles on public roads and tens of billions of simulation miles across 15+ U.S. states, we are at the forefront of this transformative journey.The Simulation ML Infrastructure team is focused on creating scalable AI/ML infrastructure that accelerates the Simulator team in developing state-of-the-art realistic simulations for testing and training the Waymo Driver. To enhance the realism and steerability of these simulations, we leverage large foundation models trained on vast datasets to accurately represent the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), road systems, traffic control measures, and environmental conditions.We are looking for a seasoned senior individual contributor to spearhead the advancement of sophisticated AI/ML infrastructure for multi-billion parameter foundation models within ML accelerator-friendly simulations. Your expertise in massive model scaling, ML accelerators, and large-scale distributed systems will be essential in designing and scaling our systems.This position reports to an Engineering Manager.Your Responsibilities:Join a top-tier, high-performing research engineering team to push the boundaries of ultra-realistic multi-agent simulations using foundation models.Collaborate closely with the Waymo Realism Modeling team located in London and the Waymo Oxford team to utilize large foundation models for enhancing simulation realism.Operate at the intersection of data engineering, model development, and simulations, making architectural decisions. Take ownership of large, complex systems, and ensure that architectures and designs align with both technical and business objectives.Design and scale extensive distributed systems that encompass the entire ML lifecycle, facilitating planet-scale dataset generation, model training, and evaluation.Work cross-functionally to derive performance and system-level requirements for large ML systems. Convert product and business goals into measurable technical deliverables, ensuring alignment of system components.

About Us Nuro is a pioneering self-driving technology company dedicated to making autonomous solutions accessible to everyone. Established in 2016, we are developing the most scalable autonomous driver by integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate a variety of applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to achieving commercial-scale autonomous vehicles, promoting a safer, more connected future. Role Overview At Nuro, we adopt a machine-learning-first strategy in our approach to autonomous driving technology. The performance of our systems is significantly influenced by the quality and diversity of training and evaluation data. Your team will be pivotal in enhancing our autonomous driving systems by establishing a robust and scalable data infrastructure. This infrastructure will generate training and evaluation data from both real-world driving logs and simulated environments. Collaborating closely with system engineers, you will ensure thorough validation of the autonomous driving system prior to deployment. Key Responsibilities Design and implement cohesive, introspectable data pipelines capable of processing large-scale batch and streaming data across diverse evaluation use cases. Develop a storage solution that efficiently manages extensive volumes and a wide variety of performance metrics. Create user-friendly dashboards and reports to display evaluation results, enabling easy comparisons to highlight improvements and regressions in ML components and the overall system. Establish and maintain continuous testing and monitoring systems to ensure the integrity and robustness of our data and data pipelines. Build data mining tools utilizing applied ML techniques to meet data discovery requirements in areas such as Perception, Behavior, and Mapping. Develop data annotation tools to aid both first-party and third-party labeling efforts, ensuring high-fidelity perception, mapping, and trajectory labels. Scale data annotation labels with cutting-edge ML techniques. Qualifications A degree in Computer Science, Engineering, or a related field (BS, MS, or PhD) combined with at least 4 years of relevant professional experience. Strong programming skills in Python or similar languages. Experience in data engineering, machine learning, or related fields. Familiarity with data pipeline tools and frameworks. Ability to work collaboratively in a fast-paced, innovative environment.

About Moveworks At Moveworks, our mission is to transform language into the universal user interface. We empower enterprises with a conversational interface that seamlessly integrates with all systems—from Microsoft to Workday to Salesforce. Utilizing advanced GPT-class machine learning models, our platform adapts to the unique language of each organization, effectively addressing thousands of use cases. Esteemed brands such as Databricks, Broadcom, DocuSign, and Palo Alto Networks rely on Moveworks’ proprietary enterprise data, ready-to-use solutions, and user-friendly developer tools to implement conversational automation across their businesses. Founded in 2016 and backed by leading investors including Kleiner Perkins and Lightspeed, Moveworks has raised $315 million in funding and reached a valuation of $2.1 billion. We are proud to be recognized as a part of the Forbes AI 50 list for five consecutive years and to have received accolades such as the 2023 Edison Awards for AI Optimized Productivity and the Best Bot Solution at the 2022 AI Breakthrough Awards. With over 500 employees across six global offices, we invite you to be a part of one of the most innovative teams in the industry! Your Role As the Senior Engineering Manager for our core infrastructure team, you will spearhead the development of the Moveworks AI infrastructure. As our company grows rapidly, your leadership will be crucial in designing and operating highly reliable and resilient foundational services and frameworks that enable seamless scalability and swift feature development for our engineering teams. You will collaborate closely with teams in machine learning, search, product management, data, and full-stack engineering to identify, define, and implement elegant solutions to complex product and engineering challenges. This is an exceptional opportunity to play a pivotal role at the fastest-growing AI startup in its sector. Lead the evolution of Moveworks infrastructure architecture and foundational services with a focus on high reliability, scalability, performance, and security. Collaborate with machine learning, search, product, data, and frontend teams to understand their infrastructure needs, influence the infrastructure roadmap, and oversee the execution of various projects. Architect and enhance the core infrastructure and foundational services to support our rapid growth and customer needs.

Moveworks is looking for a Senior Software Engineer focused on Search Infrastructure to help advance the company’s search technology. This position is based in Mountain View. Role overview This role centers on building and improving scalable search systems. The work directly supports better user engagement and satisfaction by making search faster and more effective. Collaboration Expect to work closely with colleagues from different teams. Joint efforts will shape the design and implementation of new search features and infrastructure improvements. Key responsibilities Design and implement scalable search solutions Enhance existing search capabilities Work with cross-functional teams to deliver improvements

Coupang is hiring a Senior Staff II, Machine Learning Engineer (Tech Lead) for the Search team in Mountain View, USA. This position centers on building and enhancing the core technology behind search for one of South Korea’s largest e-commerce platforms. Role overview This role focuses on designing, developing, and refining machine learning systems that directly impact how millions of people shop online. As a technical lead, expect to work on projects that shape the search experience and improve the accuracy and speed of results for Coupang’s customers. Team and culture Coupang encourages teams to launch new initiatives and solve complex problems. Employees regularly see the results of their work, both in personal growth and in the company’s progress. The culture blends the drive of a startup with the stability and resources of a global public company. What makes this role unique Work on technology that influences how millions shop online. Join a team that prioritizes innovation and ongoing improvement. Contribute to a company known for transforming e-commerce in South Korea. Experience the energy of a startup with the support of a global organization. This is a chance to help define the future of commerce as part of Coupang’s technology-driven Search team.

About Coupang Coupang delivers customer experiences that aim to surprise and delight. With a mission to simplify shopping, dining, and daily life, Coupang has become a leading force in South Korea’s e-commerce market. The company combines the drive of a startup with the scale and resources of a global, publicly traded business. Team members are encouraged to think entrepreneurially, launch new ideas, and learn alongside colleagues as the company grows. Every day brings new challenges and opportunities to shape the future of commerce in a connected, technology-driven world. About the Search & Discovery Product Team The Search and Discovery Product Team focuses on building a seamless and engaging shopping journey. The team works on everything from intent-driven search to enjoyable product discovery, aiming to make each visit unique, whether a customer needs groceries delivered tomorrow or is browsing for electronics or apparel. Search and recommendations power more than 70% of product discovery for millions of daily users, making this team’s work both high-impact and far-reaching. Role Overview: Director II, Product Management - Search & Discovery This leadership role oversees a major segment of Coupang’s search initiatives. The Director II will guide efforts to improve search relevance, personalize recommendations, and optimize the customer journey from query to discovery. The position involves working with advanced AI and machine learning technologies to push the boundaries of what search can do, with the goal of increasing user engagement and satisfaction. Location Mountain View, USA

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues — from realizing the next mode of transportation to fast-tracking medical advancements. Our mission involves constructing and managing the premier data and AI infrastructure platform, allowing our clients to leverage profound data insights to enhance their operations. Search technology is integral to this endeavor. Through a combination of keyword retrieval, semantic similarity via vector embeddings, and hybrid methods, our Search technologies enable users to find, discover, and comprehend information within vast, intricate datasets. This technology fuels a wide array of applications, from Retrieval Augmented Generation (RAG) and AI assistants to recommendation engines, enterprise knowledge management, in-product search, and data exploration. As a Staff Software Engineer specializing in Search Quality, you will steer the technical strategy for ranking, relevance, evaluation, and quality initiatives within Databricks' advanced Search product. You will architect and develop systems, models, and evaluation frameworks that guarantee our Search stack yields precise, high-quality outcomes across a variety of multimodal datasets and query patterns. Collaborating with research, product, and infrastructure teams, you will push the boundaries of retrieval quality for enterprise AI applications by integrating traditional information retrieval techniques with representation learning and neural ranking. In addition to your technical contributions, you will help shape our long-term vision for relevance and quality, mentor senior engineers, and lead strategic initiatives that enhance the accuracy, dependability, and overall impact of Search across Databricks.

At Coupang, we are driven by a simple goal: to amaze our customers. We feel fulfilled when we hear them say, “How did I ever live without Coupang?” Our inception was fueled by a passion to simplify shopping, dining, and everyday living, revolutionizing the multi-billion-dollar e-commerce landscape from the ground up. As one of the fastest-growing e-commerce platforms, we’ve built an unmatched reputation as a powerful and dependable entity in South Korean commerce. We take pride in blending the dynamic spirit of a startup with the robust support of a large global public company. This unique combination propels our growth and accelerates the launch of new services at an unprecedented pace. Here, we are all entrepreneurs, continuously exploring opportunities to ignite new initiatives and innovations. Our team is characterized by boldness and ambition, ready to roll up our sleeves and make a tangible impact. At Coupang, you will witness personal growth alongside your colleagues, your team, and the company as a whole. Our mission to shape the future of commerce is not just a vision; it’s a reality. We are constantly pushing the limits of what’s achievable to tackle challenges and redefine conventional trade-offs. Join us at Coupang to craft an extraordinary shopping experience in an ever-connected, high-tech world. Search and Discovery Product The Search and Discovery Product Team is dedicated to crafting an exceptional search and discovery shopping experience, enhancing everything from “intent-based” shopping to serendipitous product discovery. We are committed to optimizing the entire customer journey in search, focusing on understanding queries and enhancing search relevance, as well as tailoring personalized and contextually relevant search and recommendation experiences. We believe that the experience of ordering fresh groceries for next-day delivery should feel distinct from shopping for a new laptop or the latest pair of jeans. With search and recommendations driving over 70% of product discovery for our millions of daily users, the scale and impact of our efforts are significant!Salary range: $232,000 - $290,000 per year.

Moveworks is hiring an Associate Software Engineer to join the Search Infrastructure team in Mountain View. This position centers on building and improving systems that help users access information quickly and accurately. Role overview Work closely with other engineers to develop solutions that strengthen search features across Moveworks products. The team focuses on making it easier for users to find what they need, supporting both performance and reliability. Collaboration and growth This role offers hands-on experience with advanced technology in a team that encourages learning and development. Expect support from colleagues as you expand your skills and contribute to impactful projects.

Unity Technologies is building an offline machine learning platform to support analytics, experimentation, attribution, and AI-driven decisions across the organization. This platform processes both batch and streaming data at scale, serving as the backbone for product intelligence, machine learning pipelines, and business operations. As data sets grow in size and complexity, the platform enables advanced model training, feature generation, and experimentation workflows that are critical for production ML systems. What you will do Design and enhance Unity's offline machine learning infrastructure to support large-scale needs Develop reliable systems for generating training datasets and managing machine learning workflows Support efficient, distributed model training across teams Collaborate with machine learning engineers and platform teams to ensure pipelines scale with data growth and evolving training requirements Shape processes for dataset preparation, model training, validation, and delivery to distributed systems Maintain high standards for reliability, scalability, and performance of the offline ML platform Requirements This role requires a senior technical leader with experience in large-scale machine learning infrastructure. A successful candidate has a strong background in building and maintaining reliable, scalable, and well-architected ML pipelines. Location This position is based in Mountain View, CA, USA.

At Coupang, we strive to amaze our customers. We want to hear them say, "How did we ever live without Coupang?" Our mission is driven by a passion for simplifying shopping, dining, and everyday living. As a key player in the multi-billion-dollar e-commerce sector, we are rapidly transforming the industry from the ground up. Proudly recognized as one of the fastest-growing e-commerce platforms, we have built an exceptional reputation as a reliable leader in South Korean commerce.Coupang embodies the best of both worlds: a dynamic startup culture combined with the resources of a large, globally recognized public company. This unique environment empowers us to foster growth and introduce innovative services at an unprecedented pace. We cultivate an entrepreneurial spirit, offering opportunities to initiate and drive new projects. Our team is composed of ambitious individuals eager to make a tangible impact, and at Coupang, you will witness both personal and professional growth alongside your colleagues and the company as a whole.Join us in our commitment to revolutionizing the future of commerce. We continuously challenge the limits of what's possible, ensuring that we remain at the forefront of the industry.

As a Senior Staff Software Engineer specializing in Compute Infrastructure, you'll play a pivotal role in designing, building, and optimizing our cloud infrastructure systems. Your expertise will help drive performance and scalability, ensuring our platforms support the ever-increasing demand for data processing and storage. You will work collaboratively with cross-functional teams to develop innovative solutions that enhance our technology stack.

Join Otter.ai as a Senior Software Engineer specializing in Search & Recommendations, where you will play a pivotal role in enhancing our platform's ability to deliver tailored content and improve user experiences. You will collaborate with a talented team of engineers and product managers to develop innovative solutions that leverage machine learning and natural language processing.

Coupang stands out as a leading e-commerce company in South Korea, recognized for its commitment to customer satisfaction. The organization blends the agility of a startup with the scale and resources of a global public company. Teams here move quickly, launching new services and products while supporting growth at both the individual and company level. Role overview The Staff AI Engineer - Search & Discovery leads the design and development of applications centered on Generative AI and Large Language Models (LLMs). This position shapes how Coupang builds AI-native systems that enhance both customer and operational experiences. The work involves managing the complete lifecycle of large-scale, unconventional applications and adapting them to meet evolving user needs. What you will do Lead the design and development of AI-driven applications, focusing on Generative AI and LLMs Drive projects that build AI-native systems for search and discovery Oversee the lifecycle of high-scale, non-traditional applications Collaborate with teams to deliver solutions that address changing user needs Requirements Experience leading projects based on Generative AI and Large Language Models Background in building and scaling AI-native systems Ability to manage complex application lifecycles from design through deployment Interest in advancing commerce through technology This position is based in Mountain View, USA.

Coupang stands out as a major e-commerce company in South Korea, recognized for its reliability and drive to innovate. The company blends the energy of a startup with the scale and resources of a global public business. Teams move quickly, launching new services and growing rapidly. Employees are encouraged to take ownership and help shape the future direction of commerce. Role overview The Staff Backend Engineer - Application Infrastructure will be part of the Application Infrastructure team, working on foundational systems that support Coupang’s complex workflows. This position is greenfield, offering the chance to design and build core backend infrastructure from the ground up. The systems developed will enable fast workflow creation for various domain teams, including those responsible for Coupang’s rocket delivery service. The impact of this work reaches systems that handle hundreds of millions of dollars in revenue. Location Mountain View, USA Seattle, USA

The OpportunityAre you a seasoned Staff Software Engineer, Backend (Infrastructure) eager to drive transformative change at the convergence of scalable web services and state-of-the-art AI technologies? Join us at Otter.ai, where we are on the lookout for a skilled engineer to spearhead the development, deployment, and oversight of web services and infrastructure that fuel our AI-driven products and initiatives. In our vibrant engineering team, you will collaborate closely with AI researchers, product managers, and technology experts to deliver innovative solutions that significantly enhance the experiences of end-user professionals and enterprise clients across various sectors.Your ImpactUtilize your vast expertise in Python to design and refine backend systems that seamlessly integrate with machine learning and AI functionalities.Craft and execute robust business logic using web frameworks such as Django, ensuring full compatibility with AI components and integration with MySQL.Architect scalable solutions employing technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support advanced AI models and workflows.Produce reusable, efficient, and maintainable code that underpins our high-performance applications, delivering exceptional user experiences.

P-1124 Summary At Databricks, we are driven by a passion for empowering data teams to tackle some of the most challenging problems in the world, spanning from security threat detection to advancements in cancer drug development. We achieve this by constructing and managing a top-tier data and AI infrastructure platform, enabling our customers to concentrate on their high-value missions. Our engineering teams are dedicated to creating highly technical products that address significant needs in the world. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers’ success on our platform. Customers place their trust in Databricks with their most sensitive data, and our Trust & Safety team is committed to establishing the world’s most reliable data analytics and machine learning platform. Security Engineering plays a pivotal role within Trust & Safety, working diligently to safeguard customer data from malicious threats. We are seeking seasoned leaders like you to craft the vision and define the strategy for this critical area. The impact you will have: Enhance the safety of Databricks for our customers by identifying and addressing critical vulnerabilities in our infrastructure and services. Attract industry-leading talent to our team. Serve as a representative for the security engineering discipline throughout the organization, advocating for a data-driven approach. Represent Databricks at academic and industry conferences and events. What we look for: A minimum of 7 years of experience in Data Security or related fields, with expertise in at least two of the following areas: Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Proven experience in building systems at large-scale internet companies is highly desirable. ...