Tech Strategy Product Manager, Google DeepMind

OverviewJoin a dynamic team at Google DeepMind as a Tech Strategy Product Manager, where you will play a pivotal role in shaping the strategic direction of AI initiatives. You will drive analytical frameworks that empower Leadership (SVP+) decision-making regarding compute utilization and planning. Your expertise in transforming complex data into actionable …

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

Who We AreGatik is at the forefront of autonomous middle-mile logistics, transforming the B2B supply chain with our innovative transportation-as-a-service (ATaaS) solution. We prioritize safety and reliability in deliveries while enhancing freight movement efficiency through reduced congestion. Our focus on short-haul, B2B logistics serves Fortune 500 retailers, and in 2021, we proudly launched the world’s first fully driverless commercial transportation service with Walmart. Gatik’s Class 3-7 autonomous trucks are actively deployed across major markets, including Texas, Arkansas, and Ontario, Canada, pushing the boundaries of innovation in freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is specifically designed to transport freight securely and efficiently between pick-up and drop-off points on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as a comprehensive solution integrating advanced software and hardware that powers our fleet, ensuring seamless integration into our customers' logistics operations.About the RoleAs an AI Operations Engineer, you will be instrumental in developing the central knowledge base for our company. You will bridge the divide between our raw data and AI assistants, enabling our teams to utilize state-of-the-art models (Gemini, Claude, ChatGPT) with safety and efficiency. Your primary goal will be to design secure Retrieval-Augmented Generation (RAG) structures that allow AI to access company knowledge while strictly adhering to security protocols and data privacy.This position requires onsite presence five days a week at our Mountain View, CA office!

About DataVisorDataVisor stands at the forefront of the AI-powered Fraud and Risk Platform industry, delivering unparalleled detection coverage. Our open SaaS platform enables seamless data consolidation and enrichment, equipping organizations with real-time solutions for combating fraud and anti-money laundering (AML) activities. With our patented unsupervised machine learning technology, advanced device intelligence, and robust decision-making tools, DataVisor offers immediate performance enhancements. Our platform is designed for versatility, accommodating multiple use cases across diverse business units while significantly reducing total ownership costs compared to traditional solutions. Recognized as an industry leader, DataVisor serves numerous Fortune 500 companies worldwide.Our award-winning technology is driven by a talented team of experts in big data, machine learning, security, and scalable infrastructure. We foster an open, positive, collaborative, and results-oriented culture. We invite you to be part of our journey!Role SummaryWe are on the lookout for enthusiastic, recently graduated or soon-to-graduate MS or Ph.D. candidates in Computer Science, Machine Learning, Data Science, or related disciplines to join our team as AI/ML Engineering Interns.This internship provides a fantastic opportunity for candidates keen on understanding the construction and deployment of large-scale AI systems in production. You will collaborate with seasoned engineers and data scientists to contribute to the Intelligence Layer and Data Consortium that underpin DataVisor’s real-time fraud detection capabilities.Key areas of focus include distributed systems, data pipelines, machine learning infrastructure, and applied AI, with exposure to agentic flows and large language models (LLMs).What You’ll DoData Engineering & PipelinesAssist in developing and maintaining high-throughput data pipelines utilizing technologies such as Spark, Kafka, or Flink.Support the processing and aggregation of real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems.Distributed Systems & ScalabilityLearn to design and optimize backend systems that facilitate large-scale, real-time decision-making.Contribute to enhancing system performance, reliability, and latency during high transaction volumes.AI Applications & Agentic FlowsAssist in developing AI applications and agentic workflows utilizing cutting-edge LLMs (e.g., OpenAI, Anthropic, Google).Explore natural language interfaces, intelligent rule suggestions, and automated strategy generation.Machine Learning PipelinesHelp deploy and monitor pipelines for both unsupervised and supervised ML models.Contribute to the integration of models into real-time applications.