Staff AI Engineer [L6-2] - Search & Discovery

Join Coupang as a Staff AI Engineer specializing in Search & Discovery. In this pivotal role, you will leverage cutting-edge artificial intelligence technologies to enhance our search algorithms and improve user experience. You will collaborate with cross-functional teams to design and implement innovative solutions that drive our AI initiatives forward.

Aera Technology is at the forefront of the Decision Intelligence Platforms sector and has been recognized as a leader in the Gartner® Magic Quadrant™ for 2026. Our innovative technology is designed to digitize, augment, and automate decision-making processes utilizing AI and machine learning. Through our flagship product, the Aera Decision Cloud™, we empower renowned global brands to make informed, rapid decisions.As a privately-held, VC-backed company, we boast a diverse team of over 400 talented Aeranauts, and we are on a trajectory of rapid growth. Our mission is to drive innovation in Decision Intelligence and deliver services that allow enterprises to enhance their decision-making capabilities with precision and efficiency, making us the preferred partner for market leaders seeking to unlock previously unreachable value.We are currently seeking a dynamic and experienced Senior Product Marketing Manager to spearhead key aspects of Aera's go-to-market strategy, enhance sales enablement, gather competitive insights, and lead thought leadership in our category. This is a pivotal individual contributor role that demands both strategic vision and a strong focus on execution—someone who can craft a compelling narrative, launch impactful products, and empower our sales team to excel in a competitive marketplace.In this role, you will collaborate closely with product management, sales, demand generation, and executive leadership, working with a high degree of autonomy and cross-functional influence. This position reports directly to the SVP of Product Marketing and plays a crucial role in how Aera defines, expands, and leads the Decision Intelligence category.The ideal candidate is expected to be based in the San Francisco Bay area and will work on-site at our headquarters in Mountain View, CA, 3-4 days per week.

Join Databricks as a Senior Manager of Identity & Access Management (IAM)!At Databricks, we are on a mission to empower data teams to tackle the world's most challenging problems. As the Lakehouse company, we serve over 7,000 organizations globally, including industry leaders like Comcast, Condé Nast, and H&M. Our Lakehouse Platform uniquely combines data, analytics, and AI, enabling businesses to thrive in the digital age. Headquartered in San Francisco, our reach extends across the globe, driven by the original creators of Apache Spark™, Delta Lake, and MLflow. To learn more about us, visit www.databricks.com.About the RoleWe are seeking a visionary Senior Manager of Identity & Access Management (IAM) to spearhead our enterprise-wide identity, authentication, authorization, and access governance initiatives. This pivotal role entails defining the strategy, architecture, and execution of IAM capabilities that support our diverse stakeholders, including employees, customers, and global platform services. As our organization expands, IAM will become a cornerstone of our security framework and customer trust. You will ensure our identity systems are secure, user-friendly, scalable, and aligned with Zero Trust principles.This leadership position demands cross-functional collaboration with engineering, security, IT, compliance, and product teams to deliver reliable and secure identity services by default. Elevate your career with us and make a significant impact!

About Us:Aeva is on a mission to revolutionize perception technology across diverse fields such as automated driving, industrial robotics, consumer electronics, health, and security. We are at the forefront of transforming autonomy with our innovative sensing and perception technologies, which integrate essential LiDAR components into a compact silicon photonics chip. Our cutting-edge 4D LiDAR sensors provide instantaneous velocity detection along with precise 3D positioning, empowering autonomous systems like vehicles and robots to make more informed and safer decisions.Role Overview:We seek a talented Photonics Integration Engineer who possesses cross-functional expertise in bringing photonics solutions to various product lines. This role is critical in enhancing our technology and will be based in either Mountain View, CA or Rochester, NY.

Join Our Team as an AI Research Engineer!At Creatify, we are at the forefront of revolutionizing the advertising landscape through cutting-edge AI technology. Our innovative platform serves as the world's first end-to-end AI advertising agent, automating every stage of the video ad lifecycle—from crafting scripts and generating engaging avatar-led videos to optimizing and publishing across major platforms like Meta, TikTok, and YouTube.In just a year and a half, we have achieved remarkable growth, surpassing $10 million in ARR and supporting over 1.5 million users across more than 10,000 teams. Esteemed brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for delivering personalized and high-performing video advertisements in record time.With $24 million in funding from prominent Silicon Valley investors, including WndrCo, Kindred Ventures, and Comcast Ventures, we are excited to continue our journey of innovation and excellence in the advertising sector. Our work has garnered attention from leading media outlets like Fast Company, TechCrunch, and Bloomberg TV.We are based in Mountain View, California, and our team consists of dedicated AI researchers, engineers, and advertising experts. We invite you to be part of this transformative journey in the advertising industry through AI.

Join Moveworks as a Staff Machine Learning Engineer in the Agentic Systems team, where you will play a pivotal role in developing cutting-edge AI solutions to enhance user experiences. Your expertise will contribute to building intelligent systems that leverage machine learning to drive efficiency and innovation.As a key member of our engineering team, you will collaborate with cross-functional teams to design, implement, and optimize machine learning algorithms that solve real-world problems. You will have the opportunity to work on exciting projects that push the boundaries of what’s possible with AI.

Join the Future of Autonomous Technology with CyngnLocated in the heart of Mountain View, CA, Cyngn is a pioneering autonomous technology firm that specializes in deploying self-driving industrial vehicles, particularly autonomous tuggers, across factories, warehouses, and facilities throughout North America. We are on the lookout for innovative, driven, and seasoned leaders to propel this cutting-edge field forward. If you thrive on building, experimenting, and collaborating with a team of passionate individuals, Cyngn is your next career destination. Why Choose Cyngn?With a team of less than 100, we operate with the dynamism of a startup while benefiting from the stability of being publicly traded. Our employees enjoy close-knit teamwork with mentorship opportunities and the liquidity of our publicly-traded equity. Impactful WorkAt Cyngn, our autonomous vehicles are not mere prototypes; they are actively deployed to real clients, meaning your contributions will yield immediate, visible results. A Collaborative CultureWe pride ourselves on fostering a welcoming and diverse environment where collaboration and trust inspire creativity. Every perspective is valued, fueling our innovative spirit. Role OverviewAs Cyngn expands its deployment of Autonomous Mobile Robots (AMRs), we seek a talented Field Service Engineer to join our dynamic team. This pivotal role is vital for the success of our customer deployment operations, requiring a blend of technical expertise and field service skills. This position, based in Mountain View, CA, will necessitate regular travel to customer sites for supporting, maintaining, and troubleshooting our robotic systems in the field. You will engage in hands-on hardware interactions, field maintenance, software updates, and collaborate closely with our engineering and operations teams. Your role will be critical in ensuring our production systems operate seamlessly in real-world environments.

Apptronik develops AI-powered humanoid robots that support people in manufacturing, logistics, and other industries. Apollo, the flagship robot, is already active in critical sectors, with plans to expand into healthcare and home settings. The team is dedicated to scaling Apollo and solving practical challenges with embodied AI. Role overview The Field Service Engineer, based in Mountain View, CA, ensures the ongoing performance and reliability of one of the world’s most advanced humanoid robots. This role manages the health of the robotic platform, addresses complex system integration issues, and resolves networking or software problems that go beyond standard repairs. Serving as the technical representative for Global Support Services (GSS), the Field Service Engineer guides customers through high-pressure situations with clear communication and strong technical skills. Main responsibilities Maximize solution availability: Conduct advanced root cause analysis for issues affecting fleet uptime, including networking, software, and integration faults. Technical liaison: Serve as the primary technical contact for customer leadership, providing guidance and ensuring satisfaction during troubleshooting and resolution. System validation: Verify that all repairs and deployments meet Apptronik’s standards before returning robots to customer use. Cross-functional collaboration: Share insights and field feedback with Engineering, Product, and other internal teams. Location This position is located in Mountain View, CA.

About NewsBreakFounded in 2015, NewsBreak is an innovative Content Intelligence platform that is revolutionizing the content economy. With over 40 million active users each month, our flagship platform offers highly personalized local news and information, driven by cutting-edge AI, recommendation systems, and advanced advertising technology.Recognized by Fast Company as #32 among the Top Workplaces for Innovators, we are proud to be Great Place to Work® certified. Our dynamic team comprises talented technologists, product innovators, and business leaders who are dedicated to tackling significant challenges at scale.Having achieved unicorn status in 2021, we are committed to maintaining this high-growth trajectory by building the infrastructure layer for content intelligence with a passionate and skilled team.If you're inspired to dream big, innovate rapidly, and make a meaningful impact, we would love to hear from you! For more details, visit www.newsbreak.com/aboutLocation: Mountain View, CACommitment: On-siteDuration: 12 weeks starting in early 2026Conversion Opportunity: High-performing interns will be considered for full-time positions.About the ProgramWe are excited to announce our 2025 Engineering Internship Program, a fast-paced, high-impact opportunity tailored for aspiring engineers eager to develop real products, deliver valuable features, and expedite their transition into full-time roles. Throughout the 12-week program, you will collaborate closely with seasoned engineers, receive hands-on mentorship, contribute to production systems, and help solve real challenges within the NewsBreak ecosystem. This is a paid, on-site internship located at our Mountain View headquarters. Exceptional interns will be evaluated for full-time offers upon completion of the program.Highlighted Projects:Interns will be matched with teams based on their skills, interests, and the needs of the business. Sample projects may include:MSP Monetization – Mountain View, CAMSP is our cutting-edge, AI-driven monetization platform that empowers publishers...

The OpportunityJoin our innovative AI team at Otter.ai, driving the future of AI technology to enhance the value derived from meetings and conversations. As a Machine Learning Engineer, you will collaborate with seasoned scientists and engineers to develop and deploy machine learning systems that transform groundbreaking research into production-ready features for our summarization and conversational intelligence offerings.Your ImpactArchitect, build, and evolve large-scale SID / ASR / NLP / LLM systems that are central to our mission-critical product experiences, impacting millions of conversations.Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, balancing quality, latency, cost, and reliability.Design and improve model architectures, loss functions, decoding strategies, and training techniques for speech and language models, guided by both research and production constraints.Own end-to-end ML system lifecycles from research prototyping through to production deployment, monitoring, iteration, and long-term maintenance.Collaborate closely with product and infrastructure teams to convert cutting-edge research into scalable, production-grade systems that yield measurable user and business impacts.Drive system-level enhancements in model performance, robustness, observability, and operational excellence using real-world conversational data at scale.Establish technical direction and best practices for ML infrastructure, data pipelines, evaluation frameworks, and deployment workflows in a cloud environment.Tackle complex, ambiguous challenges in model behavior, data quality, scaling, and system interactions, often preemptively addressing issues before they impact users.Mentor and elevate fellow engineers, shaping team standards, reviewing designs, and fostering a culture of sound technical decision-making and execution.

At Coupang, our mission is to impress our customers. We thrive when we hear our customers ask, “How did we ever live without Coupang?” Our obsession with simplifying shopping, dining, and living has led us to revolutionize the multi-billion dollar e-commerce industry from the ground up. As one of the fastest-growing e-commerce companies, we have established a remarkable reputation as a dominant and trustworthy player in South Korean commerce. We proudly embody the best of both worlds—a startup culture enriched with the resources of a large global public company. This unique blend empowers us to continue our rapid growth and launch new services at a remarkable pace. We are all entrepreneurs, constantly surrounded by opportunities to drive innovative initiatives. At Coupang, you will witness your own growth, along with that of your colleagues, your team, and the company. Our commitment to building the future of commerce is genuine. We continuously push the boundaries of possibility to solve challenges and redefine traditional trade-offs. Join Coupang today to create an extraordinary experience in this fast-paced, high-tech, and hyper-connected world. Role Overview As a Staff Machine Learning Engineer within Coupang Media Group, specifically focusing on Ads Quality, you will take charge of designing, developing, and optimizing machine learning models, algorithms, and new product features for our advertising platform. The Coupang Media Group (CMG) provides a range of marketing products and services to vendors selling their products on Coupang. Since launching our Product Ads performance advertising marketplace in late 2018, we have quickly grown to over 10,000 active advertisers and generate 150 million daily ad impressions within just five months. Our team is responsible for promoting brands and products on our e-commerce platform. To give you a sense of its value, both Alibaba and Amazon earn more revenue from advertising than from product sales. This opportunity allows you to be part of a burgeoning development organization with immense revenue potential within a successful company. We are establishing full-stack engineering teams to tackle large-scale advertising challenges, including real-time behavioral targeting, auctioning and bidding systems, and search-based advertising. As we transition from growth to enterprise processes, you will play a pivotal role in shaping the future of our organization. In this role, you will be responsible for innovating and building our new ad quality stack for our advertising platform and will eventually extend it into other areas.

About Contextual AI At Contextual AI, we are transforming the landscape of artificial intelligence by addressing one of its most significant challenges: context. By providing the right context at the right moment, we unlock the precision and scalability that enterprises need to harness AI effectively. Our innovative enterprise AI development platform seamlessly bridges cutting-edge AI research with practical developer requirements, enabling AI developers to efficiently ingest and query documents from various enterprise data sources and integrate retrieval results into their business workflows. Founded by the trailblazers of Retrieval-Augmented Generation (RAG), we are not merely participants in the enterprise AI revolution; we are its pioneers. Supported by visionary venture capitalists, we are committed to building a future where AI does more than just answer questions—it revolutionizes businesses.

About Waymo Waymo develops autonomous driving technology with the goal of making transportation safer and more accessible. Originally launched in 2009 as the Google Self-Driving Car Project, Waymo has logged over 100 million autonomous miles and completed more than ten million rider-only trips. The company focuses on building the Waymo Driver to support safe, efficient travel across a range of vehicle platforms. Team Overview: Prediction & Planning - System Architecture The Predictive Planning (PrePlan) team builds machine learning systems that help the Waymo Driver anticipate possible scenarios and plan actions accordingly. By transforming large-scale driving data into robust deep neural networks, the team enables vehicles to navigate complex, real-world environments with confidence. The system architecture group ensures these models work smoothly within Waymo's technology stack. This includes attention to kinematics, interfaces, and data representations. The team works across projects involving data pipelines, model integration, evaluation metrics, and the planner systems that guide autonomous vehicles. Role Details Title: Staff Machine Learning Engineer, Prediction & Planning - System Architecture Location: Mountain View, CA; San Francisco, CA; New York City, NY (hybrid) Reports to: Technical Lead Manager

Join Moveworks as a Principal Machine Learning Engineer, where you will play a pivotal role in enhancing our GAI search relevance and ranking systems. In this dynamic position, you will lead a talented team of engineers and data scientists to develop cutting-edge machine learning algorithms that improve user interactions and search outcomes. Your expertise will drive innovation and reinforce our commitment to delivering exceptional solutions.

About UsNuro is at the forefront of autonomous technology, dedicated to making self-driving capabilities accessible to everyone. Established in 2016, we are developing the most scalable autonomous driver, integrating advanced AI with industry-standard automotive hardware. Our core technology, the Nuro Driver™, is licensed for various applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of autonomous deployments, Nuro provides automakers and mobility platforms a pathway to achieving commercial-scale autonomous vehicles, fostering a safer, more connected future.Role OverviewAs a Systems Engineering Technical Program Manager (TPM) at Nuro, you will play a crucial role in ensuring the robustness of our autonomous vehicle platform. Your focus will be on the challenging scenarios our systems must navigate, emphasizing the technical depth of our validation processes. This is not merely a scheduling position; you will work closely with the Autonomy, Simulation, and Systems Engineering teams to enhance the technical integrity of our validation program. This involves defining scenario sets, structuring fault injection strategies, and ensuring that our simulation coverage is meaningful and systematically advancing.Key ResponsibilitiesScenario & Coverage StrategyDeeply analyze complex scene sets for autonomy validation, ensuring coverage addresses safety-critical, edge-case, and adversarial scenarios based on real-world data and system requirements.Develop the technical framework for assessing validation coverage: identifying what is covered, recognizing gaps, and determining engineering actions to address them.Collaborate with systems engineers to convert system-level requirements and failure modes into precise, testable scenario definitions.Large-Scale SimulationLead the technical design of extensive simulation campaigns, including scenario selection, variation strategies, metrics definition, and result analysis.Coordinate with simulation and infrastructure teams to ensure campaign designs yield valuable insights: selecting optimal scenarios, achieving the right fidelity, and producing results that inform actionable engineering decisions.Identify and address instances where simulation results may be inconclusive or misleading, facilitating discussions to resolve these issues.

About Us:Aeva is at the forefront of innovation, dedicated to advancing perception technology across various sectors including automated driving, industrial robotics, consumer electronics, health, and security. Our pioneering approach integrates key LiDAR components into a compact silicon photonics module, redefining autonomy. With our 4D LiDAR sensors, we enable devices to not only ascertain 3D positioning but also instant velocity, empowering vehicles and robots to make smarter, safer decisions.Role Overview:We are seeking a skilled Module Engineering Program Manager to spearhead intricate technical development initiatives. The ideal candidate will have a proven track record in managing build and test activities, as well as fostering vendor relationships to ensure timely delivery of high-quality products. A deep understanding of high-volume manufacturing processes is essential, as is the ability to coordinate product releases to meet critical company milestones.

Role Overview Unity Technologies is advancing mobile gaming with AI-driven features. The Principal Machine Learning Engineer will focus on deploying advanced AI models, such as transformers and diffusion networks, directly onto mobile devices. This position shapes how Unity brings state-of-the-art multi-modal models from research into real-world mobile applications. What You Will Do Technical Leadership: Set the vision for deploying multi-modal AI models on iOS and Android, drawing on deep experience with transformers, diffusion models, and generative architectures. Make key decisions on model optimization strategies, including compression, quantization, and knowledge distillation to address mobile device constraints. Assess and select inference runtimes (such as CoreML, ONNX Runtime Mobile, TFLite) to improve team capabilities and deployment outcomes. Oversee the entire optimization pipeline, from model export through hardware-specific kernel tuning across different processing units. Architecture & Research Translation: Work closely with research scientists to convert innovative model architectures into operational, mobile-optimized systems. Design scalable systems capable of processing varied inputs, images, text, metadata, while ensuring real-time output performance. Develop new approaches for dynamic resolution and token reduction tailored for mobile environments. Monitor and incorporate advancements in efficient AI technologies to keep Unity’s mobile AI stack current. Team Leadership & Mentorship: Guide and mentor machine learning engineers, establishing best practices for on-device performance evaluation. Collaborate with cross-functional teams to ensure AI capabilities align with product roadmaps and device requirements. Promote a culture centered on performance measurement, defining and tracking key metrics for efficiency and accuracy. Location Mountain View, CA, USA

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project initiated in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable across various vehicle platforms and use cases. With over ten million rider-only trips completed, our technology has driven more than 100 million miles on public roads and simulated billions of miles across 15+ U.S. states.The Perception team is responsible for building systems that learn spatial-temporal representations and their semantic meanings in the environment surrounding an autonomously driving vehicle (ADV). We collaborate closely with downstream teams to optimize and integrate these systems into the Waymo Driver. Our research addresses real-world challenges, leveraging access to extensive driving data from diverse sensors. This empowers our engineers to develop efficient methods for continuous learning from large-scale real-world data, create scalable models, analyze real-world behaviors, and optimize systems for our onboard and offboard hardware.In this hybrid role, you will report directly to a Technical Lead Manager.

MissionAt Databricks, our core mission is to streamline and democratize data and artificial intelligence, empowering organizations to address some of the most significant challenges globally. In the role of Senior Product Designer specializing in AI/BI experiences, you will be tasked with transforming advanced analytics, generative AI, and business intelligence into accessible, reliable, and actionable tools for users of all technical backgrounds.As a Senior Product Designer, your responsibilities will extend beyond merely crafting dashboards or workflow designs. You will shape the synergy between human intuition and AI capabilities.Your role will involve defining how users can interact with their data in straightforward language and receive trustworthy insights. You will influence how insights are generated, interpreted, disputed, and disseminated, bridging the gap between intricate AI systems and human decision-making. Collaborating closely with our product and engineering teams based in Seattle will be essential.

Staff Backend Engineer, Integrations Platform Location: Mountain View, CA About Us At CloudKitchens and Otter, we are pioneering the future of the food industry by creating an integrated