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-edg…

The Role Join Moveworks as a Senior Machine Learning Engineer II, where you will play a pivotal role in enhancing our Natural Language Understanding (NLU) and Agentic AI capabilities. Your expertise in software engineering and machine learning will help create seamless user experiences and optimize our generative and conversational AI platform. As part of the NLU team, you will leverage cutting-edge tools in Natural Language Processing (NLP) and Natural Language Generation (NLG), including advanced Large Language Models (LLMs), multimodal foundation models, and hybrid vector databases. You'll have all the necessary infrastructure at your fingertips to fine-tune, evaluate, and deploy your models into production. Our data-centric approach is supported by a world-class annotation team that ensures the creation of high-quality, privacy-conscious datasets for model training and evaluation. Your mission will extend beyond mere model training; you will strive for exceptional AI performance across all metrics, including accuracy, latency, reliability, and the overall functionality of user-facing systems. Our ideal candidates are driven not only by the desire to develop high-performing models but also by the ambition to design and enhance comprehensive AI systems and their components. We are focused on accelerating our operations, tackling complex engineering challenges, and maximizing the value we deliver to our customers. Your contributions will be crucial in achieving our objectives of resolving enterprise issues and establishing the most dependable AI co-pilot ever seen, in collaboration with various teams at Moveworks.

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 in 2009, our mission is to enhance mobility access while preventing traffic-related fatalities. The Waymo Driver, recognized as The World’s Most Experienced Driver™, has successfully completed over ten million rider-only trips and navigated more than 100 million miles autonomously on public roads across over 15 U.S. states.As a Senior Security Engineer, you will play a pivotal role in fortifying Waymo's cybersecurity framework for our cutting-edge products and services. You will analyze system components, devise comprehensive cybersecurity strategies, and conduct Threat Analysis and Risk Assessments (TARA) in line with ISO/SAE 21434 standards. Your responsibilities will include defining and managing security requirements, determining risk treatment options, and collaborating with engineering and safety teams throughout the product lifecycle to identify and mitigate security and safety risks. Additionally, you will ensure ongoing compliance with relevant standards across various projects.

Waymo is a pioneering autonomous driving technology firm, dedicated to becoming the most trusted driver worldwide. Born from the Google Self-Driving Car Project in 2009, Waymo has tirelessly worked on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives that are otherwise lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. Having completed over ten million rider-only trips, our technology has driven more than 100 million miles on public roads and executed tens of billions of miles in simulation across more than 15 U.S. states.This position follows a hybrid work schedule, reporting to a Systems Engineer Lead.Your responsibilities will include:Collaborating with cross-functional teams, including software engineers, product managers, system safety, and operations leads, to develop and implement requirements, system architecture, and verification strategies for rider safety, security, and compliance features on existing and new vehicle platforms.Independently or in partnership with System Safety, conduct safety analyses to drive performance requirements for new features.Leading comprehensive trade studies, gathering insights from relevant stakeholders to inform decision-making.Taking ownership of solutions, considering all aspects of performance and compliance.

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.

Who We AreGatik is at the forefront of transforming autonomous middle-mile logistics, offering innovative transportation-as-a-service (ATaaS) solutions to enhance the B2B supply chain. We prioritize safety, reliability, and efficiency, ensuring seamless deliveries while alleviating congestion in freight movement. Our groundbreaking partnership with Walmart in 2021 marked the launch of the world’s first fully driverless commercial transportation service. Our Class 3-7 autonomous trucks are actively deployed in key markets, including Texas, Arkansas, and Ontario, Canada, paving the way for a new era in freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, has been meticulously engineered to transport freight securely and efficiently between designated pick-up and drop-off points on the middle mile. With unparalleled capabilities across both highway and urban settings, Gatik Carrier™ is a comprehensive solution that integrates cutting-edge software and hardware, enabling smooth incorporation into our customers' logistics operations.About the RoleWe are looking for an exceptional Full-Stack Engineer to spearhead the development of our web-based simulation platform, designed to create a high-performance "Engineering Command Center." This platform will empower our engineering teams to execute, visualize, and analyze intricate simulations at scale. You will play a crucial role in bridging the gap between extensive backend simulation data and an engaging, responsive web interface. This position involves complex tasks such as high-frequency data streaming, 3D rendering (WebGL), and sophisticated data orchestration.This role requires on-site presence five days a week at our Mountain View, CA office!

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.

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.

Our Mission:At Drivemode, we envision a future where vehicles are not just modes of transportation but intelligent, safe, and highly interconnected devices. Our mission is to redefine mobility by integrating cutting-edge technology into vehicles, making them smarter and safer. In 2019, we proudly became Honda's first startup acquisition, and we are now focused on pioneering the future of battery electric vehicles (BEV) for millions globally.Why Join Drivemode:Be part of an innovative startup atmosphere that fosters a vibrant culture aimed at making a real impact. We offer competitive salaries and comprehensive benefits, all while you contribute to a groundbreaking mission that transforms how individuals interact with their vehicles, tackling business and environmental challenges simultaneously. This is your chance to lead the charge in innovation and support Honda's growth in the electric vehicle sector.About This Role:We are in a pivotal 0 to 1 phase, developing a new product, and we are seeking a Senior DevOps Engineer who embodies a builder's mindset rather than a maintainer's. You will design the core infrastructure for our Backend services and Mobile App (iOS/Android), enabling our developers to deploy code quickly and reliably. This role demands a proactive engineer, one who can immerse themselves in the codebase, troubleshoot complex issues across the stack, and effectively remove obstacles for the team with agility and accuracy.

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.

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.

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.

Moveworks is looking for a Senior Machine Learning Engineer to join the Search Platform team in Mountain View. This role centers on making it easier for users to find information by building and refining machine learning models that drive the search experience. Main responsibilities Design and enhance machine learning models that support the search platform Partner with engineering, product, and design teams to ensure technical solutions match business goals Use advanced ML methods to improve the accuracy and relevance of search results Contribute to a better user experience by making information more accessible Collaboration This position requires regular coordination with colleagues from various functions. The goal is to deliver a search platform that meets both technical standards and user expectations.

Company OverviewID.me is pioneering the digital identity wallet space, enabling individuals to securely prove their identity online with ease. With over 152 million users, our platform streamlines identity verification across 20 federal agencies, 45 state governments, and more than 70 healthcare organizations. Over 600 consumer brands leverage ID.me to foster authentic relationships by verifying communities and user segments. Our technology adheres to the highest federal standards for consumer authentication as set by the Commerce Department, and we are a NIST 800-63-3 IAL2 / AAL2 credential service provider certified by the Kantara Initiative. ID.me is driven by the mission of 'No Identity Left Behind,' ensuring everyone can access a secure digital identity. For more details, visit https://network.id.me/.Role OverviewWe are on the lookout for a Senior Product Security Engineer to join our Product Security team as a dedicated individual contributor. If you are passionate about deep technical work, building robust security solutions, and tackling complex security challenges, this is your opportunity to enhance the digital identity ecosystem while protecting millions of users. As a leading identity platform in the U.S., ID.me protects a vast amount of sensitive Personally Identifiable Information (PII), making our Product Security team essential in defending against sophisticated threats and ensuring our products are resilient at scale.As a Senior Product Security Engineer, you will be a technical authority responsible for implementing and addressing security issues across software and cloud environments, developing automation, and managing intricate technical projects. Your expertise will lead to the delivery of production-ready technological solutions, resolution of critical security challenges, and in-depth technical security assessments that will significantly bolster the security of our products. Your contributions will fortify the defensive architecture of a platform utilized nationally, providing you with a chance to make a tangible and impactful difference in the safety and trust of millions of users.This role is based out of our Mountain View, CA or McLean, VA offices and requires full-time in-office attendance.

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...

What You'll Be DoingJoin Moveworks as a Senior Machine Learning Engineer focused on developing advanced ML infrastructure for deploying and managing Large Language Models (LLMs). This pivotal role involves the design, optimization, and scaling of comprehensive machine learning systems that drive our AI solutions. The ML Infrastructure team is responsible for a range of critical functions, including distributed training and inference pipelines, model evaluation, and latency optimization for LLMs. Our work supports numerous ML and NLP models currently in production, impacting millions of enterprise users. You will tackle real-world challenges related to service scalability and algorithm optimization.Your collaboration with our machine learning team, data infrastructure team, and various cross-functional experts will directly enhance our customers' AI experience. This is an opportunity to play a vital role in the long-term scalability of our core AI product and the success of the company. If you seek a high-impact, fast-paced environment to elevate your career, we want to hear from you!Design, develop, and enhance scalable machine learning infrastructure for training, evaluating, and deploying LLMs.Create abstractions to automate diverse steps in various ML workflows.Collaborate with interdisciplinary teams of engineers, data analysts, machine learning specialists, and product managers to introduce innovative features.Utilize your expertise to promote best practices in machine learning and data engineering.

Waymo is a pioneering autonomous driving technology company dedicated to becoming the world’s most reliable driver. Originating from the Google Self-Driving Car Project in 2009, we have concentrated on developing the Waymo Driver—The World’s Most Experienced Driver™—which aims to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver supports Waymo’s fully autonomous ride-hailing service and is adaptable across various vehicle platforms and product applications. Having completed over ten million rider-only trips, our technology has autonomously driven over 100 million miles on public roads and tens of billions in simulations across more than 15 U.S. states.Our Semantics team is committed to producing the highest-fidelity and most comprehensive offboard perception autolabels at scale, serving as the cornerstone for training and validating our autonomous vehicle stack. We are an advanced ML and engineering team utilizing cutting-edge computer vision, deep learning, and generative AI technologies to automatically analyze driving logs, generate detailed scene understanding, and fuel the data engine that allows Waymo to scale safely and efficiently.In this hybrid role, you will report directly to a Technical Lead Manager.Your Responsibilities Will Include:Developing and training state-of-the-art computer vision and multimodal models (e.g., Gemini) to extract rich semantic information such as object attributes and scene properties essential for the AI agent.Designing and implementing a scalable AI agent framework that integrates large foundation models (e.g., Gemini) with outputs from our perception models and internal knowledge bases.Utilizing Fine-tuning and Reinforcement Learning (RL) techniques to establish a 'data flywheel' that continually enhances the system’s captioning and reasoning capabilities through automated feedback.Creating and prototyping innovative prompting strategies for Vision-Language Models (VLMs) to elicit complex causal reasoning related to driving scenarios.Collaborating closely with the ML Infrastructure, Perception, Behavior, and AI Foundation teams to define data requirements and integrate the captioning system into the broader ML development lifecycle.Taking ownership of the entire system lifecycle, from advanced model development and prototyping to production deployment and scaling for massive data generation.

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.

Join Databricks as a Senior Manager in Engineering, where you will lead innovation in Cloud Intelligence and Infrastructure Economics. This pivotal role involves strategizing and executing engineering solutions that drive efficiency and enhance cloud performance.

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.