AI Research Engineer at Creatify | Mountain View, CA

About Contextual AI At Contextual AI, we are pioneering a transformation in the way AI Agents operate by tackling the most pressing challenge in AI: context. By providing the right context at the right moment, we enable enterprises to achieve the precision and scalability they need from AI. Our robust enterprise AI development platform bridges the gap between cutting-edge AI research and the practical needs of developers. Our comprehensive platform simplifies the process for AI developers to seamlessly ingest and query documents from enterprise data sources, integrating retrieval outcomes into their business workflows effortlessly. Founded by the trailblazers of Retrieval-Augmented Generation (RAG), the foundational technology that links foundational models to timely and relevant data, Contextual AI is backed by some of the most innovative venture capitalists in the industry. We are not merely a part of the enterprise AI revolution; we are at its forefront. Join us in creating a future where AI transcends mere question answering to genuinely transform businesses. Job Overview The Data Platform team within Contextual AI is integral to powering product development, applied research, and managing data-heavy workloads for our customers. This is a unique opportunity to influence the technical vision of the data engineering team, contributing to groundbreaking projects within a greenfield environment. What You’ll Do: Design and develop scalable services, APIs, and databases to efficiently handle the daily processing and ingestion of petabytes of data. Enhance state-of-the-art multimodal LLMs to maximize document understanding capabilities. Create and implement thorough evaluation pipelines for end-to-end agentic RAG workflows. Architect and construct streaming infrastructure and data orchestration systems, including vector databases. Collaborate with machine learning researchers to interpret state-of-the-art requirements for RAG systems, translating them into actionable service specifications. Engage directly with product managers and application engineers to gather customer requirements for end-to-end RAG systems, and convert these into viable technical solutions. Ensure seamless integration with machine learning models and pipelines, facilitating effective model deployment and management. Provide mentorship and guidance to junior team members, fostering a culture of knowledge sharing and professional development. What We’re Seeking: Education: A Bachelor’s degree in Computer Science, Software Engineering, or a related field. Experience: Minimum of 2 years of relevant experience in data engineering or a related field. Strong understanding of scalable data architectures and design principles. Proficiency in modern programming languages and frameworks. Experience with machine learning principles and practices is a plus.

About Contextual AI At Contextual AI, we are pioneering a transformative approach to how AI Agents operate by addressing one of the most significant challenges in artificial intelligence: context. Providing the right context at the right moment is crucial for achieving the precision and scalability that enterprises demand from AI technologies. Our innovative enterprise AI development platform bridges the gap between cutting-edge AI research and practical developer requirements. This comprehensive platform empowers AI developers to seamlessly and accurately ingest and query documents from vast enterprise data sources, integrating retrieval outcomes into their business workflows. Founded by the trailblazers behind Retrieval-Augmented Generation (RAG), a foundational technique that connects foundational models with current and pertinent information, Contextual AI is at the forefront of the enterprise AI revolution. Supported by visionary venture capitalists, we are not merely participating in this evolution; we are shaping its future. Join us in crafting a world where AI goes beyond answering queries to fundamentally transforming business operations. Job Overview We are seeking a dedicated Security Software Engineer who will be instrumental in developing core product features while infusing deep security expertise into every facet of our AI systems and platforms. This role predominantly focuses on software engineering and necessitates extensive security knowledge. You will create customer-facing features while ensuring our platform meets the highest security standards. Your contributions will directly enhance platform functionality, integrating security considerations into every aspect of your work. This role offers a unique opportunity to be at the cutting edge of cybersecurity within the dynamic realm of artificial intelligence. What You Will Do: Develop production code for security features, including authentication systems, authorization frameworks, encryption services, and data privacy controls. Design and implement robust security architectures for our AI systems, covering authentication, access controls, and identity management. Work closely with the Engineering team to ensure all released features are secure by design. Collaborate with cross-functional teams to integrate security into the software development lifecycle and DevOps processes. Provide education and training for engineering and product teams regarding security best practices, policies, and procedures. What We Are Looking For: Bachelor's or Master's degree in Computer Science, Information Security, or a related field. A strong foundation in software engineering with security expertise, including 5+ years of production experience and proficiency in programming languages such as Python, Java, or C/C++. A deep understanding of cybersecurity principles and industry standards.

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 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.

P-57 At Databricks, we are passionate about empowering data teams to tackle the world's most challenging problems. Our mission is to create and operate the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their objectives. Founded in 2013 by the original creators of Apache Spark, Databricks has expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 dedicated employees. Thousands of organizations, from small startups to Fortune 100 companies, rely on Databricks for their critical workloads, establishing us as one of the fastest-growing SaaS companies globally. Our engineering teams are committed to developing highly technical products that meet significant needs in the industry. We continuously push the limits of data and AI technology while ensuring resilience, security, and scalability—key factors in ensuring our customers' success on our platform. We manage one of the largest software platforms in existence, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system issues, necessitating that our software effectively shields our customers from such challenges. As a Data Scientist on the Data Team, you will play a crucial role in fostering a data-driven culture at Databricks by working on the company's top priorities. The Data Team also acts as an internal customer, utilizing Databricks to shape the future direction of our products. Your Impact: Analysis at the speed of thought: Enhance decision-making capabilities by developing robust data science tools for business leaders, analysts, and fellow data scientists. Extend capabilities of Databricks: Collaborate closely with the Data Platform and Product Engineering teams to integrate data science tools with existing offerings and the core product. Strategic business insights: Spearhead insight generation for key company priorities and essential engineering initiatives focusing on reliability and efficiency. Gather evolving requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical stakeholders. Mentor and guide junior data scientists on the team regarding project planning, technical decisions, and reviews of code and documentation. Represent the data science discipline across the organization, advocating for a more data-driven approach. Act as a representative for Databricks at academic and industry events.

About the Role: Join Contextual AI as a Senior Product Marketing Manager, where you will be instrumental in shaping and implementing innovative marketing strategies to propel the success of our cutting-edge AI products. You will be the voice of our next-generation AI technologies, engaging with customers and the developer community. This role requires close collaboration with cross-functional teams to ensure successful product launches, robust promotion, and sustained market growth. We seek a strategic thinker with a creative approach to problem-solving, a solid analytical foundation, and familiarity with AI and LLM technologies. Key Responsibilities: Serve as the technology subject matter expert, crafting and executing cross-functional go-to-market strategies for new generative AI products, features, and capabilities. Anayze market dynamics, customer behaviors, and competitor strategies regarding AI/ML, translating insights into actionable marketing recommendations. Develop compelling product positioning and messaging that resonates with our target audience. Work closely with product teams to ensure alignment between product features and customer benefits. Design and implement go-to-market plans for new product launches and significant updates. Coordinate with cross-functional teams to ensure seamless execution of marketing campaigns. Create educational content and inspire both internal and external teams regarding the value of our AI capabilities. Collaborate with the content team to maintain a consistent brand voice and messaging. Equip the sales team with the necessary tools and knowledge for effective product selling. Gather customer feedback and insights to continuously enhance our product offerings. Define key performance indicators (KPIs) for evaluating the success of marketing initiatives. Analyze and report on the effectiveness of marketing campaigns, providing data-driven recommendations for improvement.

At Reliable Robotics, we are pioneering technology that enhances safety in aviation, aiming to save lives and transform the future of air transportation. Our automated aviation systems will facilitate a safer and more convenient way for goods—and eventually people—to traverse the globe. Our team is composed of dedicated engineers with diverse expertise in aerospace, robotics, and self-driving vehicles, all working together to bring this vision to life.As a Client Platform Engineer, you will play a pivotal role in our IT and Security team, contributing significantly to the evolution of Reliable Robotics' internal infrastructure and processes. Your responsibilities will involve building, deploying, and managing tools that enhance our operations. You will focus on automating existing systems to support standardization efforts, particularly concerning end-user facing endpoints.Key ResponsibilitiesIn this role, you will design and implement tools that cater to our internal business needs and uphold our standards. You will be engaged in creating and enhancing tools and their supporting infrastructures to elevate the daily experience of our users across the organization. This includes overseeing SaaS services, managing physical and cloud infrastructure to meet the requirements of various teams at Reliable Robotics. Additionally, you will identify opportunities for standardization and user experience improvement while training different teams, including IT/Security teams, to ensure redundancy when new tools are adopted.

Join Our TeamWe are seeking a Senior Data Engineer to become an integral part of our Data Platform team at Otter.ai. In this pivotal role, you will construct the essential data infrastructure that fuels analytics, experimentation, and decision-making across our organization. Your expertise will guide the design and ownership of foundational data models, pipelines, and platforms, enabling self-serve analytics and delivering trustworthy insights at scale.As a technical thought leader, you will collaborate closely with teams in Growth, Product, Sales, Marketing, Data Insights, and Engineering, helping them derive meaningful value from data. This is a high-impact role within a dynamic company, allowing you to influence how data is collected, modeled, and utilized to propel our business forward.Your ContributionsConstruct and manage foundational data models that facilitate self-serve analytics and critical business metrics.Design, operate, and enhance robust data pipelines and platforms.Collaborate with stakeholders to convert business requirements into reliable data products.Establish standards for data collection and logging across production systems.Promote best practices for data modeling, quality, and governance.Implement data quality checks, statistical validation, and anomaly detection processes.Provide technical leadership that enhances data reliability and literacy across teams.

Join Moveworks as a Tech Lead for our innovative Agentic AI Platform. In this pivotal role, you will spearhead the development of cutting-edge AI solutions that enhance user experiences and streamline workflows. Collaborate with cross-functional teams to design, implement, and optimize AI-driven applications that empower organizations to achieve their goals more efficiently.

About Contextual AIAt Contextual AI, we are transforming the landscape of artificial intelligence by addressing its most significant challenge: contextual understanding. By delivering the right context at the right moment, we enable enterprises to achieve the precision and scalability essential for leveraging AI effectively. Our innovative enterprise AI development platform bridges the gap between groundbreaking AI research and practical developer requirements. With our comprehensive platform, AI developers can seamlessly ingest and query documents from enterprise data sources, effortlessly embedding retrieval results into their business processes.Founded by the trailblazers of Retrieval-Augmented Generation (RAG), the pivotal methodology that connects foundational models to current and relevant insights, Contextual AI is at the forefront of the enterprise AI revolution. Supported by visionary venture capitalists, we are not merely participating in this evolution; we are defining it. Join us in crafting a future where AI doesn't just answer questions—it revolutionizes enterprises.

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, we have committed ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™—which enhances mobility access while significantly reducing traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hail service and is versatile enough to be implemented across various vehicle platforms and applications. With over ten million rider-only trips completed and the experience of driving over 100 million miles on public roads, our technology stands out as a leader in the industry.Your Role:Build and sustain a robust data processing platform utilized by both onboard and offboard teams for extracting insights from vast amounts of driving logs and simulation data.Design and implement a low-latency streaming data processing system to facilitate real-time discovery of essential driving events.Enhance the reliability, scalability, and efficiency of our signal generation infrastructure by establishing service level objectives (SLOs) and minimizing operational overhead for large-scale data processing tasks.Foster collaboration with cross-functional teams in Perception, Planning, and Data Science to transition legacy systems to modern frameworks and support emerging analytical needs.

Who We AreGatik is at the forefront of transforming B2B supply chains through our innovative autonomous middle-mile logistics solutions. Our autonomous transportation-as-a-service (ATaaS) is designed to ensure safe and reliable deliveries while significantly reducing congestion in freight movement. We focus on short-haul logistics for Fortune 500 retailers and proudly launched the world’s first completely driverless commercial transportation service with Walmart in 2021. Our Class 3-7 autonomous trucks are actively operating in major markets such as Texas, Arkansas, and Ontario, Canada, driving significant advancements in freight transportation.Utilizing our proprietary Level 4 autonomous technology, Gatik Carrier™, we effectively transport freight between pick-up and drop-off points in both highway and urban settings. Gatik Carrier™ embodies a comprehensive solution that integrates cutting-edge software and hardware, enabling seamless integration into our customers' logistics operations.About the RoleWe are on the lookout for a Senior AI Infrastructure Engineer to architect, develop, and enhance our high-performance AI platform that drives our autonomous driving models. While our research team focuses on perception, planning, and world modeling, your expertise will be critical in establishing the robust infrastructure that supports distributed training, experiment tracking, and efficient model deployment. You will play an essential role in bridging the divide between research and production, ensuring our AI systems are scalable, resilient, and optimized for performance.This position requires onsite presence at our Mountain View, CA office, five days a week!

Who We Are At Otter, we are passionate about transforming the restaurant industry through innovative technology. As a leader in online food delivery solutions, we empower restaurateurs to thrive in a digital landscape. Our commitment to enhancing the dining experience has earned the trust of thousands of restaurants globally, including renowned brands like Chick-fil-A, Ben & Jerry’s, and Eataly. Join us in our mission to simplify and streamline delivery operations for restaurants, ensuring they can focus on what they do best—creating unforgettable dining experiences. What You’ll Do As a pivotal member of our team, you will work on our Menu Platform, which serves as the backbone of menu management across various delivery channels and point-of-sale systems. Your contributions will directly impact the efficiency and effectiveness of operations for over 150,000 restaurants worldwide. Develop data-driven features that enhance dynamic menu operations. Engage in planning and strategy for internal tools and platforms. Design, implement, and rigorously test backend services using agile methodologies. Collaborate closely with cross-functional teams including engineering, product management, and customer support. Ensure high-quality code through meticulous writing, debugging, and maintenance across multiple projects. Architect scalable systems capable of handling large, distributed workloads. Enhance platform reliability, performance, and overall developer experience. Drive innovation and continuously explore new technologies.

Harness, the leading AI Software Delivery Platform, is spearheaded by innovator and entrepreneur Jyoti Bansal, known for founding AppDynamics, which was acquired by Cisco for $3.7 billion. With approximately $570 million raised in funding and a valuation of $5.5 billion, Harness is supported by top-tier investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI rapidly advances code generation, the actual bottleneck now lies in the post-coding phase—encompassing testing, deployments, security, reliability, compliance, and cost optimization. Harness leverages AI and automation to enhance this "outer loop," empowering teams to deliver software more swiftly while ensuring robust security and governance throughout the software delivery lifecycle.The Harness Platform, driven by Harness AI and a comprehensive Software Delivery Knowledge Graph, integrates deep context and intelligent automation at every stage of the software delivery process, ensuring governance and policy-driven controls are inherently embedded.In the past year alone, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and 3 trillion secured API calls, managing $2.8 billion in cloud expenditure. Our esteemed customers, including United Airlines, Morningstar, and Choice Hotels, have experienced up to 75% faster release cycles, 60% reductions in cloud costs, and a tenfold increase in DevOps efficiency.With a diverse team spanning 14 offices across 25 countries, Harness is at the forefront of redefining AI software delivery, and we are on the lookout for exceptional talent to help accelerate our journey.Position SummaryAs a Security Engineer on the Security Operations team, you will collaborate across departments to develop and manage security tools and processes. Drawing on extensive expertise in systems, automation, and security, you will oversee technology operations, design solutions, and ensure ongoing compliance on a large scale. In this role, you will lead efforts to enhance visibility into Harness' security posture, automate key security technologies, and drive continuous improvements across our technical infrastructure. Your responsibilities will include designing solutions that align with Harness' security objectives, collaborating closely with engineering teams to meet project goals, and leading cross-team initiatives alongside Engineering and Product. This position offers a unique opportunity to refine existing skills and acquire new ones as the company continues to grow.

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.

About CreatifyAt Creatify, we are pioneering the first comprehensive AI advertising agent that automates the entire video ad lifecycle—from scripting and avatar-led generation to testing, optimization, and seamless publishing across platforms like Meta, TikTok, YouTube, and more.In a short span of just 18 months, we have achieved over $10 million in annual recurring revenue, catering to over 1.5 million users across more than 10,000 teams. Renowned brands such as Alibaba, HubSpot, Binance, NewsBreak, and Zumper trust Creatify for their personalized, high-performing video ad solutions, all created in mere minutes.With $24 million raised from leading Silicon Valley investors—including WndrCo, Kindred Ventures, Millennium New Horizons, NFDG, Comcast Ventures, and Creator Ventures—we are on a remarkable growth trajectory. Our innovative approach has garnered attention from major media outlets such as 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 veterans in Mountain View as we revolutionize the advertising industry with cutting-edge AI technology.

Role Overview Otter.ai is looking for a Frontend Engineer to join the team in Mountain View, CA. This role focuses on building and improving user interfaces for Otter.ai’s transcription services. What You Will Do Design and implement intuitive, accessible web interfaces Work closely with teams across engineering, product, and design to deliver features Help shape the user experience for a product used to improve communication Location This position is based in Mountain View, CA.

Please complete the attached Internal Transfer Request Form and submit.Ensure that you apply using your Coupang email address.This role is open to both Mountain View and Seattle locations.At Coupang, we are dedicated to astonishing our customers. When we hear our customers exclaim, “How did we ever live without Coupang?” we know we are on the right track. Fueled by a commitment to simplify shopping, dining, and living, we are revolutionizing the multi-billion-dollar e-commerce sector from the ground up. As one of the fastest-growing e-commerce companies, we are seeking passionate individuals to join our innovative team.

Join Moveworks as a Staff Software Engineer and play a pivotal role in enhancing our Core Platform. You will collaborate closely with cross-functional teams to design, develop, and implement innovative software solutions that drive efficiency and improve user experiences.