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Experience Level
Entry Level
Qualifications
The ideal candidate will possess a strong background in machine learning, computer vision, and algorithm development. A Bachelor's degree in Computer Science, Engineering, or a related field is required. Experience with deep learning frameworks such as TensorFlow or PyTorch, as well as proficiency in programming languages such as Python or C++, is essential. Strong analytical skills, problem-solving abilities, and a passion for innovation in the field of autonomous systems are highly valued.
About the job
Aeva, Inc. is seeking a Machine Learning Engineer with a focus on Perception to join the team in Mountain View, CA. This role centers on developing algorithms that help autonomous systems interpret and respond to their environment. The work draws on both machine learning and computer vision to improve how autonomous vehicles perceive the world around them.
Key responsibilities
Design and build perception algorithms for autonomous platforms
Use machine learning and computer vision on real-world datasets
Support progress in autonomous vehicle technology through technical contributions
Work closely with engineers and researchers to expand product capabilities
Location
This position is based in Mountain View, CA.
About Aeva, Inc.
Aeva, Inc. is a pioneering technology company dedicated to revolutionizing the autonomous vehicle industry. Our team is committed to pushing the boundaries of perception technology, enabling safer and more efficient autonomous systems. Join us to be part of a groundbreaking journey in the world of mobility.
About UsAt MAI (pronounced “my”), we are committed to revolutionizing advanced advertising technology. Our goal is to make state-of-the-art marketing tools, which were previously the domain of large corporations with extensive budgets, available to all businesses. Our innovative platform employs AI agents to streamline and enhance performance marketing, enab…
About UsAt MAI, pronounced “my,” we are dedicated to revolutionizing advanced advertising technology. Our mission is to make cutting-edge marketing tools, once reserved for large corporations, accessible to businesses of all sizes. Through our innovative platform leveraging AI agents, we automate and enhance performance marketing, enabling small and mid-sized businesses to profitably scale their ad spend without relying on agencies or spending countless hours on manual campaign management.Founded by seasoned professionals from Google and Instacart, we have successfully secured $25 million in Seed funding led by Kleiner Perkins to accelerate our growth. This investment will help us expand our product and engineering teams to realize our vision of intelligent, autonomous marketing. Our AI agents have already demonstrated their effectiveness, assisting clients in achieving 40% more sales and managing millions in monthly Google Ads expenditures. We are experiencing a rapidly growing client waitlist.Why Join Us Now?As we venture into the uncharted territory of building infrastructure for autonomous, intelligent agents, you will not merely be writing code; you will be the architect of the environment where our AI agents thrive. You will have a significant impact across our entire stack—from the foundational data platforms that support our agents to the core frameworks that empower them to reason, and the scalable systems that deliver their intelligence to our customers. This is a unique opportunity to create a truly AI-native product and tackle challenges at the forefront of the industry.You will be a vital member of a small, focused team of fewer than ten engineers, with the opportunity to shape the future of our organization. We are in the early stages of forming three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityThis role offers you the chance to grow your skills as these teams develop, encouraging you to leverage your specializations while exploring new projects and learning from your peers.
About UsAt MAI (pronounced “my”), we are dedicated to revolutionizing the advertising technology landscape. Our mission is to make sophisticated marketing tools accessible to businesses of all sizes, not just those with extensive budgets. Our innovative platform leverages AI to automate and enhance performance marketing, allowing small and medium-sized enterprises to increase their advertising investments profitably without the dependency on agencies or time-consuming manual management.Founded by experienced professionals from Google and Instacart, we successfully secured $25 million in Seed funding led by Kleiner Perkins. This investment is fueling our growth and enabling us to expand our talented teams, bringing our vision of intelligent, autonomous marketing to fruition. Our AI agents have already demonstrated significant impact, driving 40% more sales for clients and managing millions in monthly Google Ads expenditures. Our client waitlist is expanding rapidly.Why Join Us NowJoining MAI means stepping into an exciting phase of growth and innovation. As a Client Partner, you will play a pivotal role in our go-to-market strategy, shaping how we connect with and grow eCommerce brands. You will be responsible for prospecting, pitching, and closing deals, influencing our go-to-market strategies, tools, and product development with invaluable customer insights. This is a unique opportunity to be part of an AI-driven company at a transformative moment—where your contributions directly influence our trajectory.Your ResponsibilitiesManage the complete sales cycle—from prospecting to closing and expansion. You will generate over 90% of your pipeline through strategic outreach and identifying intent signals, positioning MAI as the growth catalyst for eCommerce brands.Become a subject matter expert in performance marketing and AI solutions. Through MAI’s product training and Google Ads certifications, you will gain a deep understanding of how AI enhances campaign performance, budget management, and return on ad spend (ROAS) for our clients.Serve as a trusted advisor to clients, comprehending their growth and profitability perspectives and guiding them in their transition from agency reliance to AI-powered marketing.Collaborate across various teams, including product, operations, and marketing, to relay client feedback, influence roadmap priorities, and co-develop scalable go-to-market processes.Maintain high standards in CRM practices, documenting insights, activities, and performance metrics to continually refine targeting and efficiency.
About UsAt MAI (pronounced “my”), we are dedicated to transforming the landscape of advanced advertising technology. Our vision is to make innovative marketing tools, previously reserved for large corporations with extensive budgets, available to all. Utilizing AI agents, our platform automates and optimizes performance marketing, enabling small and mid-sized businesses to effectively scale their advertising efforts without the need for costly agencies or excessive manual campaign management.Founded by industry experts from Google and Instacart, we are proud to have secured a $25 million Seed funding round led by Kleiner Perkins to propel our growth. This investment will allow us to enhance our product and engineering teams, bringing our vision of intelligent and autonomous marketing solutions to fruition. Our AI agents have already demonstrated their effectiveness, driving 40% more sales for clients and managing millions in monthly Google Ads expenditures. Our client waitlist is expanding rapidly.Why Join Us NowIn contrast to traditional software development, which follows established guidelines, we are pioneering the infrastructure for autonomous, intelligent agents—and we are charting the course ourselves.As a Software Engineer at MAI, you will not only write code; you will be instrumental in architecting the ecosystem where our AI agents learn and operate. Your contributions will have a significant impact across our entire technology stack, from the foundational data platforms that support our agents, to the core frameworks that empower their reasoning capabilities, all the way to the scalable systems that deliver their intelligence to our users. This is a unique opportunity to build a truly AI-native product from the ground up and tackle challenges at the cutting edge of the industry.You will be more than just a contributor on a large team; you will be a key player in a close-knit group of fewer than ten engineers, making a substantial impact and influencing the future trajectory of our company. We are in the formative stages of establishing three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityThis is a rare opportunity for personal and professional growth as these teams develop. We encourage you to utilize your expertise while exploring new projects outside your comfort zone, learning from colleagues and evolving into a more versatile engineer.
About CreatifyCreatify is revolutionizing digital advertising by developing the world's first comprehensive AI-driven advertising platform. Our innovative technology automates the entire lifecycle of video ads, from scripting and avatar generation to rigorous testing, optimization, and seamless publishing across platforms like Meta, TikTok, YouTube, and more.In just 18 months, we've achieved over $10 million in Annual Recurring Revenue (ARR) and are proud to serve more than 1.5 million users from over 10,000 teams. Prestigious brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for creating personalized, high-performing video ads in just minutes.With $24 million raised from prominent Silicon Valley investors including WndrCo, Kindred Ventures, and Comcast Ventures, we are positioned for rapid growth. Explore our recent features in Fast Company, TechCrunch, Bloomberg TV, and our recognition as one of IVP Enterprise AI 55 in 2024.Join our passionate team of AI researchers, engineers, and advertising experts in Mountain View, and help us reshape the future of advertising through AI.
Join the AI Revolution at Creatify!At Creatify, we are pioneering the world’s first comprehensive AI advertising platform, automating every aspect of the video ad lifecycle—from creative scripting and avatar-driven production to testing, optimization, and seamless publishing across major platforms like Meta, TikTok, and YouTube.In only 18 months, we’ve achieved over $10 million in annual recurring revenue (ARR) and have empowered more than 1.5 million users across 10,000+ teams. Our innovative platform is trusted by leading brands including Alibaba, HubSpot, and Binance to create personalized, high-impact video advertisements in mere minutes.With $24 million raised from prominent Silicon Valley investors such as WndrCo and Kindred Ventures, we are on a rapid growth trajectory. For insights on our recent achievements, check out our features in Fast Company, TechCrunch, and Bloomberg TV.Based in Mountain View, we are a passionate team of AI researchers, engineers, and advertising experts. Join us as we transform the advertising landscape with AI technologies.
Full-time|$196K/yr - $221K/yr|On-site|Mountain View, CA
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.
Internship|$40/hr - $40/hr|Hybrid|Mountain View, US
About EarnInEarnIn is a trailblazer in the earned wage access space, dedicated to empowering individuals with financial flexibility tailored for those living paycheck to paycheck. Our community members can access their earnings in real time, enabling them to spend, save, and enhance their financial well-being without burdensome fees, interest rates, or credit checks.With a robust leadership team and esteemed funding partners such as A16Z, Matrix Partners, DST, and Ribbit Capital, we are positioned for rapid growth and are eager to attract top-notch talent to shape our future.Position SummaryAt EarnIn, machine learning (ML) is pivotal to our growth strategy. We harness advanced ML models to inform business decisions and enhance customer experiences. Your role will involve developing and implementing cutting-edge ML systems that leverage our data capabilities. You'll be tasked with thorough formulations, rigorous experimentation, and transforming ML models into efficient production-ready code, while also focusing on robustness monitoring and system logging/alarming.We are inviting enthusiastic students and recent graduates with a solid foundation in machine learning, deep learning, language models, generative AI, programming, and data analysis to join our 12-week Machine Learning Internship Program. You will engage in real-world projects, collaborate with industry experts, gain invaluable insights into the fintech sector, and contribute to meaningful business and social outcomes. This position requires hybrid work from our Mountain View office, with 2 days per week on-site. Compensation for this internship is set at $40 per hour, with a commitment of 40 hours per week for the duration of the program.What You'll DoTrain and optimize large-scale Foundation Models for diverse fintech applications.Work with extensive datasets, encompassing both structured and unstructured data.Contribute to enhancements of our existing ML systems through model, data, or experimental upgrades.Acquire hands-on experience with a variety of technologies, including PyTorch, AWS, Kafka, Databricks, and more.
Join Coupang as a Senior Staff Machine Learning Engineer in our AI Foundations team, where you will be at the forefront of developing innovative machine learning solutions that enhance customer experiences. This role involves designing, implementing, and optimizing algorithms and models that drive intelligent decision-making and automation within our platforms.
About UsAt MAI (pronounced “my”), we are dedicated to democratizing advanced advertising technologies. Our belief is that state-of-the-art marketing tools, previously reserved for large corporations with substantial budgets, should be available to all businesses. Our innovative platform harnesses AI agents to automate and optimize performance marketing, enabling small to mid-sized enterprises to effectively scale their advertising expenditures without relying on agencies or dedicating countless hours to manual campaign management.Founded by industry veterans from Google and Instacart, we have successfully secured a $25 million Seed funding round led by Kleiner Perkins to propel our growth forward. This investment will be pivotal as we expand our product and engineering teams, realizing our vision of intelligent, autonomous marketing. Our AI agents have already showcased their effectiveness, helping clients achieve 40% more sales while managing millions in monthly Google Ads spend. We are witnessing a rapid increase in our client waitlist.Why Join Us NowIn a landscape where traditional software follows a conventional playbook, the development of infrastructure for autonomous, intelligent agents represents an uncharted territory—and we are pioneering this field.As a foundational Software Engineer at MAI, you will do more than just write code; you will design the entire ecosystem in which our AI agents operate, learn, and evolve. Your work will have a substantial impact across our entire technology stack, from the underlying data platforms that inform our agents, to the core frameworks that empower their reasoning abilities, to the scalable systems that deliver their insights to our clients. This is a unique opportunity to construct a genuinely AI-native product from scratch and tackle challenges at the forefront of the industry.You will be part of a focused team of fewer than ten engineers, allowing you to make a significant impact and help shape the future direction of our company. We are in the initial stages of forming three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityThis position offers a distinctive opportunity to broaden your skill set as these teams develop. We encourage you to leverage your areas of expertise while also exploring new projects, learning from your colleagues to become a more versatile engineer.
About UsAt MAI (pronounced 'my'), we are dedicated to making advanced advertising technology accessible to all. Our mission is to provide cutting-edge marketing tools that were once only available to large companies with significant budgets. Our innovative platform utilizes AI agents to automate and enhance performance marketing, enabling small and mid-sized businesses to efficiently scale their advertising spend without the need for external agencies or extensive manual campaign management.Founded by seasoned veterans from Google and Instacart, we have successfully secured a $25 million Seed funding round led by Kleiner Perkins to propel our growth. This funding will allow us to expand our teams and realize our vision of intelligent, autonomous marketing. Our AI agents have already demonstrated their effectiveness by driving 40% more sales for our clients and managing millions in monthly Google Ads expenditures. Our client waitlist is expanding rapidly.Your RoleDefine Positioning & Messaging: Shape MAI's market presence. Transform complex AI functionalities into clear and compelling narratives that resonate with brands and performance marketers.Lead Product Launches: Oversee the complete go-to-market strategy for new features and agent capabilities—from internal alignment to external launch.Gather Customer & Market Insights: Act as the customer's voice. Conduct research, analyze market competitors, and pinpoint critical opportunities for differentiation.Sales Enablement: Create impactful collateral (presentations, one-pagers, case studies) to support sales in converting prospects and illustrating a clear ROI narrative.Content & Demand Generation: Collaborate with the growth team to develop content that educates and converts—such as landing pages, lifecycle messaging, product narratives, and thought leadership pieces.Category Definition: Help shape and advocate for a new category: AI-native marketing platforms. You will not only market a product but also contribute to defining an industry movement.Cross-Functional Leadership: Collaborate closely with Product, Growth, and Founders to synchronize the roadmap, messaging, and go-to-market execution.
Join Coupang as a Staff Machine Learning Engineer, where you will play a pivotal role in developing innovative machine learning solutions that drive business growth and enhance customer experience. You will collaborate with a talented team of engineers and data scientists to build scalable and efficient machine learning models.
Full-time|$180K/yr - $225K/yr|On-site|Mountain View, California, United States
About NewsBreakEstablished in 2015, NewsBreak is a pioneering Content Intelligence platform redefining the content economy. With a robust user base of over 40 million monthly active users, our flagship platform delivers tailored local news and information, powered by cutting-edge AI, recommendation systems, and advanced adtech.Acknowledged by Fast Company as #32 among the Top Workplaces for Innovators, we proudly hold Great Place to Work® certification and foster a vibrant team of technologists, product innovators, and business leaders dedicated to addressing significant challenges at scale.Achieving unicorn status in 2021, we remain steadfast in our commitment to high growth, seeking the ideal team to realize our mission: to establish the foundational infrastructure for content intelligence.If you’re driven to dream big, innovate rapidly, and make a meaningful impact, we want to hear from you! For more details, visit www.newsbreak.com/aboutAbout the Role:We are seeking a Machine Learning Infrastructure Engineer to join us in building the pivotal infrastructure that trains, serves, and monitors the models behind our Ads and Recommendations products. You will be part of a small, high-responsibility team that implements platform enhancements end-to-end—collaborating with product and data teams to minimize latency and costs while expediting the transition from concept to safely launched model.Your role will encompass the entire ML lifecycle: enhancing training efficiency and reliability, optimizing model serving performance, and fortifying our feature/embedding platform to ensure models remain current and consistent across offline and online applications. We are looking for someone who takes genuine ownership, completes tasks, and elevates the standards for stability and developer experience.Why This Role:Scope & Impact: Join a small team with a significant influence—your contributions will directly impact production.Ownership: Manage everything from design to rollout and post-launch insights; enjoy real autonomy with support.Growth: Gain visibility across the stack and a clear pathway to lead projects and mentor others.Pragmatic Culture: We prioritize outcomes over jargon, valuing clear thinking and follow-through.
Aeva, Inc. is seeking a Machine Learning Engineer with a focus on Perception to join the team in Mountain View, CA. This role centers on developing algorithms that help autonomous systems interpret and respond to their environment. The work draws on both machine learning and computer vision to improve how autonomous vehicles perceive the world around them. Key responsibilities Design and build perception algorithms for autonomous platforms Use machine learning and computer vision on real-world datasets Support progress in autonomous vehicle technology through technical contributions Work closely with engineers and researchers to expand product capabilities Location This position is based in Mountain View, CA.
Full-time|On-site|Mountain View, California, United States
DataVisor stands at the forefront of AI-driven fraud and risk management solutions, providing unparalleled detection capabilities within the industry. Our innovative SaaS platform allows for seamless integration and enhancement of diverse data sources, enabling organizations to respond to rapidly changing fraud and money laundering scenarios in real-time. With our proprietary unsupervised machine learning technology, robust device intelligence, and a powerful decision engine, we ensure substantial performance improvements from day one. Our platform is designed to accommodate a variety of applications across multiple business units, significantly reducing the total cost of ownership when compared to traditional point solutions. Recognized as a leader in our field, DataVisor is trusted by numerous Fortune 500 companies globally.Our acclaimed software platform is driven by a team of top-tier professionals specializing in big data, machine learning, security, and scalable infrastructure. We foster a culture of openness, positivity, collaboration, and results-oriented work. Join us in transforming the future of fraud detection!Position Overview:As part of our platform engineering team, you will contribute to the development of a next-generation machine learning platform, integrating our unique unsupervised machine learning (UML) techniques with supervised machine learning (SML) algorithms. Your role will involve enhancing our core detection algorithms and automating the comprehensive training process.With the rise of sophisticated fraud attacks, real-time detection is more crucial than ever. The platform team is tasked with constructing the architecture that supports real-time UML capabilities. We are seeking inventive and enthusiastic engineers to aid in the expansion of our novel streaming and database systems, which are essential for our detection functionalities.Join us in pushing the limits of what is achievable in fraud detection and large-scale data processing, and help us introduce innovative solutions to this critical domain.
Full-time|$230K/yr - $300K/yr|On-site|Mountain View, California, United States
About NewsBreakFounded in 2015, NewsBreak is a pioneering Content Intelligence platform that is redefining the content economy. With a vibrant community of over 40 million monthly active users, our flagship platform offers deeply personalized local news and information, driven by cutting-edge AI technologies, sophisticated recommendation systems, and innovative adtech solutions.Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we take pride in being Great Place to Work® certified. Our dynamic team of technologists, product innovators, and business leaders is dedicated to tackling significant challenges at scale.Having reached unicorn status in 2021, we are steadfast in our commitment to maintaining a high-growth trajectory through the right talent to help us realize our mission: building the infrastructure layer for content intelligence.If you’re motivated to think big, innovate rapidly, and make a meaningful impact, we’d love to connect with you! For more information, visit www.newsbreak.com/aboutAbout the RoleWe are on the lookout for a Staff Machine Learning Engineer to spearhead technical leadership for our recommendation systems and AI initiatives.In this pivotal position, you will set the technical direction for large-scale personalization systems, lead intricate projects across various teams, and champion the integration of AI / LLM technologies in our product capabilities and engineering workflows.This opportunity is perfect for engineers who relish system-level thinking, enjoy mentoring others, and excel at transforming complex, ambiguous challenges into scalable solutions.What You’ll Work OnTechnical Leadership & ArchitectureLead the design of next-generation recommendation system architectures at scale.Drive best practices for model lifecycle management, experimentation, and system reliability.Collaborate with product, infrastructure, and data teams to ensure alignment of technical strategy with business objectives.Advanced Recommendation & AI SystemsOversee complex initiatives encompassing retrieval, ranking, re-ranking, and multi-objective optimization.
Coupang is looking for a Staff Machine Learning Engineer in Mountain View to help strengthen its e-commerce platform. This position centers on applying advanced machine learning methods to improve both user experience and internal operations. Role overview The Staff Machine Learning Engineer will work closely with teams across the company to design, build, and launch machine learning models. These efforts aim to solve complex business challenges and support Coupang’s growth. Key responsibilities Develop and implement machine learning models that enhance system performance Collaborate with cross-functional groups to identify and address business needs Contribute to the deployment and ongoing improvement of machine learning solutions Location This role is based in Mountain View, USA.
Are you driven by a passion for solving complex AI challenges and eager to play a pivotal role in revolutionizing enterprise automation? Join Kognitos as we shape the future of software development!Your Contributions Will Include:Optimizing Resource Utilization: Create cutting-edge strategies to enhance resource efficiency in training and fine-tuning machine learning models, ensuring optimal performance without compromising on resource usage.Developing Intelligent Workflows: Innovate workflows that empower AI to reason, plan, and execute tasks consistently, reducing errors and unexpected outcomes.Integrating Multimodal Language Models: Engage in multimodal projects that blend text, images, and various data formats to develop robust, enterprise-ready automation solutions.Enterprise-Scale AI Solutions: Deliver AI systems that address enterprise needs, targeting a reduction of operational costs by 30% through widespread adoption.Key Responsibilities:Design and implement machine learning models with a focus on intelligent workflows and reliable task execution.Refine AI systems for multimodal applications, effectively tackling real-world challenges faced by enterprises.Pioneer new fine-tuning methodologies to enhance resource utilization and model efficacy.Ensure alignment of AI systems with regulatory standards while delivering consistent business outcomes.Collaborate with diverse teams, including product management, engineering, and business stakeholders, to drive impactful solutions.Stay abreast of the latest advancements in AI research, integrating cutting-edge developments into Kognitos’ platform.Qualifications:A Bachelor's, Master's, or Ph.D. in Computer Science, Machine Learning, or a related discipline.Demonstrated experience in developing and deploying machine learning models in production settings.Expertise in fine-tuning techniques for large-scale models and resource optimization.Strong intuition and experience with Large Language Models (LLMs).Familiarity with multimodal language models and their applications in enterprise environments.
Join Moveworks as a Senior Machine Learning Engineer and become a pivotal part of our innovative team dedicated to transforming customer experiences through advanced AI solutions. In this role, you will leverage your expertise in machine learning to develop and implement cutting-edge algorithms that drive our AI systems forward. Collaborate with cross-functional teams to understand user needs and enhance our product offerings.
As a pivotal leader of a dynamic team of search relevance engineers, your primary mission will be to assess and enhance the ranking and relevance of our AI-driven enterprise search applications. These applications harness the power of large language models (LLMs), necessitating your expertise in evaluating and optimizing RAG-based objectives such as summarization, groundedness of responses, and citation accuracy and completeness. You will steer the team through the comprehensive development of machine learning models, encompassing data synthesis, feature engineering, experiment design, evaluation, and more. Your team's work will be fundamental in refining our search relevance systematically as we expand to new clients, diverse data types, and unique use-cases, ultimately ensuring the ranking quality across all our enterprise search products. Your team’s commitment to search quality is vital to the success of the company’s search product lines, with performance gauged by its enabling capabilities. You will empower your team members by facilitating rapid iterations on model enhancements, enabling them to refine ML metrics while understanding performance trade-offs and generalizability. You will oversee the team’s technical direction, manage project timelines, and ensure the resilience, efficiency, and innovation of our machine learning-based search systems. Collaboration with search infrastructure and platform engineers, as well as partnerships with product, design, and customer success teams, will be essential in achieving our business objectives.
