Vision Foundation Model Research Intern

About GranicaGranica is a pioneering AI research and infrastructure firm dedicated to creating reliable, steerable representations for enterprise data.We build trust through Crunch, a policy-driven health layer that ensures large tabular datasets are efficient, reliable, and reversible. Leveraging this foundation, we are developing Large Tabular Models—syste…

P-186 At Databricks, we are passionate about empowering data teams to tackle some of the world's most challenging problems, from detecting security threats to advancing cancer drug development. Our mission is to build and operate the premier data and AI infrastructure platform, allowing our customers to concentrate on the high-value challenges central to their missions. Since our inception in 2013 by the original creators of Apache Spark™, Databricks has transformed from a small office in Berkeley, California, into a global powerhouse with over 1,000 employees. Today, thousands of organizations—from startups to Fortune 100 companies—trust Databricks with their mission-critical workloads, solidifying our status as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while ensuring the resilience, security, and scale essential for our customers' success on our platform. We manage one of the largest-scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software must adeptly shield our customers from these challenges. In modern data analysis, sophisticated techniques such as machine learning extend far beyond the traditional SQL query engine's roll-up and drill-down capabilities. As a software engineer on the Runtime team at Databricks, you will contribute to building next-generation distributed data storage and processing systems that not only surpass specialized SQL query engines in relational query performance but also offer the expressiveness and programming abstractions necessary to support varied workloads, ranging from ETL to data science. Here are some example projects you might work on: Apache Spark™: Develop the de facto open-source standard framework for big data. Data Plane Storage: Provide reliable and high-performance services and client libraries for storing and accessing massive amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Delta Lake: A storage management system that merges the scale and cost-efficiency of data lakes with the performance and reliability of data warehouses, along with the low latency of streaming. Its higher-level abstractions, including ACID transactions and time travel, significantly simplify real-world data engineering architecture. Delta Pipelines: Managing a single data engineering pipeline can be challenging. The objective of the Delta Pipelines project is to streamline this process.

Waymo is an innovative leader in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has committed itself to advancing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. Our technology powers a fully autonomous ride-hail service and can be integrated into various vehicle platforms and product applications. With over ten million successful rides and extensive experience driving autonomously for over 100 million miles on public roads, Waymo is actively shaping the future of transportation across 15+ U.S. states.The Waymo AI Foundations team is dedicated to pioneering machine learning solutions that tackle critical challenges in autonomous driving, aiming to ensure the safe operation of Waymo vehicles in diverse urban settings and under varying conditions. We are committed to fostering collaborations with other research teams within Alphabet. Current focus areas include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust model evaluation.This position operates on a hybrid work schedule and reports directly to the Vice President of AI Foundations.

P-59 At Databricks, we are driven by a mission to empower data teams to tackle some of the most pressing challenges facing our world. Whether it's transforming transportation or accelerating medical innovations, we achieve this by creating and operating the foremost data and AI infrastructure platform. Our customers leverage deep data insights to enhance their business operations. Founded by engineers with a relentless commitment to customer satisfaction, we eagerly embrace every opportunity to address technical challenges—from designing cutting-edge UI/UX for data interaction to scaling our services across millions of virtual machines. And this is just the beginning. In modern data analysis, advanced techniques such as machine learning surpass the capabilities of conventional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be instrumental in developing next-gen distributed data storage and processing systems that not only outperform specialized SQL query engines in relational query performance but also offer the flexibility and programming abstractions necessary to support a diverse range of workloads, from ETL processes to data science applications. Key projects you might work on include: Apache Spark™: Contribute to the leading open-source framework for big data. Data Plane Storage: Deliver reliable, high-performance services and client libraries for managing vast amounts of data on cloud storage solutions like AWS S3 and Azure Blob Store. Delta Lake: A sophisticated storage management system that merges the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses, offering features such as ACID transactions and time travel to simplify complex data engineering architectures. Delta Pipelines: Simplify the management of extensive data engineering pipelines, allowing customers to effortlessly orchestrate, deploy, test, and upgrade thousands of data pipelines while minimizing operational burdens. Performance Engineering: Develop the next-generation query optimizer and execution engine that is fast, tuning-free, scalable, and robust.

About GranicaGranica is an innovative AI research and infrastructure organization dedicated to developing reliable and steerable representations for enterprise data.We build trust through Crunch, a policy-driven health layer that optimizes large tabular datasets to ensure they remain efficient, reliable, and reversible. This foundation enables us to create Large Tabular Models—systems that learn from cross-column and relational structures to provide trustworthy answers and automated processes with inherent provenance and governance.Product Manager - Research, AI Systems & Structured DataLocation: Downtown Mountain View, CA (office-based, five days a week) Team: Research & Applied SystemsThe MissionThe Research team at Granica is pioneering foundational advancements in:Tabular data learning and large tabular modelsStructured and relational representation learningCompression-aware and efficiency-driven AIHybrid symbolic, relational, and neural systemsThe intersection of information theory, learning theory, and large-scale systemsThese initiatives are intricately linked with real production systems that process petabytes of enterprise data.As the Research Product Manager, your role will be pivotal in ensuring the coherence, efficiency, and scalability of this work—bridging people, concepts, computational resources, and systems to transform groundbreaking research into sustainable capabilities.

Role Overview matx is hiring an AI Runtime System Software Engineer focused on the Linux Kernel. This position is based in Mountain View, CA. What You Will Do Design and build software to improve the performance and efficiency of AI systems. Work with the Linux Kernel to support advanced AI workloads. Your contributions will help drive the next generation of artificial intelligence technology.

Waymo is at the forefront of autonomous driving technology, striving to become the world’s most reliable driver. Originating from the Google Self-Driving Car Project in 2009, our mission has been to develop the Waymo Driver—the world's most experienced driver—to enhance mobility access and save countless lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and can be adapted to various vehicle platforms and product applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, along with tens of billions of miles simulated across more than 15 U.S. states, we are redefining transportation.The Perception team is dedicated to building systems that learn the spatial-temporal representations and semantic meanings of the environment around the autonomous driving vehicle (ADV). We collaborate closely with downstream teams to optimize and integrate these systems into the Waymo Driver. Our research tackles real-world challenges and involves collaboration with Alphabet’s research teams. With access to millions of miles of diverse driving data from various sensors, our engineers develop methods for efficient and continuous learning from large-scale real-world data, model training at scale, real-world behavior analysis, and optimizing models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.

Moveworks is seeking a Software Engineer focused on Agentic AI Systems to join the team in Mountain View. This position centers on building and refining AI-driven solutions that improve how users interact with technology and help simplify business operations. Role overview Work closely with engineers and researchers to design, develop, and implement new AI capabilities. The goal is to advance the effectiveness and reach of artificial intelligence within real-world applications. What you will do Create and optimize AI systems that support better user experiences Collaborate with team members to develop solutions that address operational challenges Contribute to ongoing research and development in agentic AI technology Team and collaboration This role involves working alongside a group of engineers and researchers who are committed to advancing AI. Expect to share ideas, experiment with new approaches, and help shape the direction of AI systems at Moveworks.

Moveworks is seeking a Software Engineer to help build advanced Agentic AI systems. This position is based in Mountain View and centers on creating technology that changes the way businesses use AI. Role overview This role focuses on designing and developing new AI-driven solutions. As part of the engineering team, you will contribute to projects that aim to improve how organizations interact with their technology platforms. What you will do Work with a team to build and refine Agentic AI systems Support efforts to deliver innovative solutions for business needs Collaborate with colleagues to advance the capabilities of AI technology Location This position is based in Mountain View.

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.

Join our innovative team at Moveworks as a Senior Software Engineer, specializing in Agentic AI Systems. You will play a pivotal role in developing advanced AI solutions that enhance workplace efficiency and empower users with intelligent automation. Your expertise in software engineering will allow you to contribute to cutting-edge projects that redefine the interaction between technology and users.

Moveworks is looking for a Senior Software Engineer to join the Agentic AI Systems team in Mountain View. This position focuses on building advanced AI-driven solutions that improve customer experience. Role overview As a senior engineer, you will guide the development of new AI systems. The work involves collaborating with team members and applying modern technologies to solve complex challenges. Your contributions will have a direct impact on product direction and the evolution of AI capabilities at Moveworks. What you will do Lead the design and implementation of AI-powered features Work closely with others to deliver solutions that enhance customer interactions Apply your expertise to influence technical decisions and product strategy Requirements Experience developing AI systems Strong collaboration and technical leadership skills Ability to work with modern technologies to drive innovation

ECL has revolutionized the industry with the launch of the world’s first hydrogen-powered, off-grid green data center, boasting an impressive 99.999% uptime. As demand surges for state-of-the-art data centers capable of supporting the needs of AI and Machine Learning, what once seemed like a distant vision has become a reality. Our innovative end-to-end construction platform and modular architecture allow us to scale from 1-2MW to accommodate even the largest data center sites. This is a unique opportunity to contribute to the development of a fully sustainable power generation system in the evolving landscape of disruptive technology advancements in Machine Learning and Artificial Intelligence.Join us at ECL, a company founded by experts from leading tech giants such as Facebook, Microsoft, LinkedIn, Cisco, HPE, and Bloom Energy, and be part of our exciting journey as we prepare for exponential growth.Data Center EngineerLocation: Mountain ViewReports To: Director, Data Center Site Services Position OverviewThe Data Center Engineer (KTLO) will ensure the ongoing operational readiness of all critical infrastructure systems within a mission-critical data center environment. This role is pivotal in guaranteeing uptime, maintaining system redundancy, and enforcing strict procedural and safety protocols across electrical, mechanical, and supporting site systems.This operations-centric position requires a focus on stability, execution, and adherence to compliance. The engineer will implement approved procedures, assist with structured change management processes, monitor system health, and maintain documentation that is ready for audits in a tightly controlled, high-availability environment.The candidate must possess a working knowledge of electrical distribution systems, critical cooling infrastructures (including liquid cooling technologies), structured governance of MOP/SOP/EOP, and regulated operational settings. Success in this role hinges on procedural discipline, sound judgment in escalation situations, and effective risk mitigation practices. Key ResponsibilitiesElectrical Systems Operations· Operate and maintain UPS systems, switchgear, transformers, PDUs, generators, fuel cells, and BESS (as applicable)· Support switching activities under approved MOPs· Monitor...

The Role Are you an accomplished software engineer eager to apply your expertise in a pioneering environment focused on AI agents? If so, this opportunity might be the perfect fit for you. As a senior software engineer on our innovative 'Agent Lab' team, specializing in Natural Language Understanding, you will significantly contribute to our mission: to expand the scope of tasks that can be reliably performed by agents at scale. You will have the chance to shape the future of the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge tools in enterprise AI, including top-tier LLMs from providers such as OpenAI, our team prioritizes rapid development on scalable infrastructure, tackling complex product and engineering challenges, and maximizing the value delivered to our customers. If you're looking to create meaningful impact alongside a talented, dedicated, and mission-driven team, we would love to discuss this opportunity with you. What You Will Do: Confront exciting and complex engineering challenges to develop and enhance robust AI agent systems that demonstrate reliability in all aspects. Implement leading-edge AI algorithms and architectures, ensuring their successful deployment at scale. Leverage the latest advancements in machine learning, LLMs, and AI agents to enrich our products and deliver exceptional user experiences. Contribute to the product roadmap and drive the development of engineering areas with increasing scope and significance, creating lasting value for our customers. Refine your skills in writing clean, extensible, readable, and high-performing code. Collaborate with subject matter experts across various departments, including machine learning, security, product, user experience, and customer success, to share knowledge and build the most exceptional enterprise AI product. Mentor fellow engineers on best practices for building, maintaining, and evolving high-quality software. Work closely with machine learning engineers, fostering a collaborative environment to build world-class AI systems. What You Bring To The Table: 2+ years of experience in designing, building, and enhancing production systems, preferably at scale. Strong analytical skills with the ability to clearly articulate complex engineering problems and systems. Proficient in programming languages and frameworks relevant to the development of AI systems. A passion for learning and staying updated with the latest trends in AI and software engineering.

The Role Are you an accomplished software engineer eager to leverage your expertise in designing and enhancing production systems at the forefront of AI technology? If so, this opportunity might be the perfect fit for you. As a senior software engineer within our dynamic “agent lab” Natural Language Understanding team, you will play a pivotal role in our mission: to expand the capabilities of AI agents to operate reliably at scale. You will have the chance to influence the progression of the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems, latency optimization, agent memory, and more. With access to state-of-the-art AI tools, including leading LLMs from OpenAI, you will be at the cutting edge of technology. Our team prioritizes rapid development on scalable infrastructure while tackling complex engineering challenges and enhancing the value we deliver to our customers. If you are ready to make a significant impact alongside a passionate and dedicated team, we would love to hear from you.

The Role Join our innovative team as a Software Engineer specializing in Agentic AI Systems as a new graduate. If you have developed your programming expertise through internships, research, or academic projects and are eager to apply your skills at the forefront of AI technology, we encourage you to consider this exciting opportunity. As a valued member of our Natural Language Understanding team within the 'agent lab', you will contribute significantly to our mission of enhancing the capabilities that agents can reliably perform at scale. Your work will involve advancing the Moveworks AI Assistant platform in areas including agent orchestration, sandboxed file systems, latency optimization, agent memory, LLM self-improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with state-of-the-art enterprise AI tools, including leading LLMs from providers like OpenAI, you will engage in rapid development on scalable infrastructure, tackle challenging engineering problems, and maximize the value we deliver to our customers. If you are excited about making a meaningful impact alongside a dedicated team, we would love to hear from you. What You Will Do: Engage in engineering challenges to build and enhance robust AI agent systems. Implement cutting-edge AI algorithms and architectures, collaborating closely with senior engineers to ensure scalability. Leverage the latest advancements in machine learning, LLMs, and AI to enhance our products and create exceptional user experiences. Contribute to projects that generate lasting value for our clients. Refine your skills in writing efficient, maintainable, and high-performance code. Collaborate with experts across various domains, including machine learning, security, product management, user experience, and customer success, to create the premier enterprise AI product. Learn from and work with senior engineers and machine learning experts to develop world-class AI systems.

Join our innovative team at ServiceNow as a Senior Staff Software Engineer specializing in Agentic AI Systems. In this critical role, you will lead the design, development, and implementation of cutting-edge AI solutions that enhance our customer experience and drive operational efficiency. You will work collaboratively with cross-functional teams to create scalable and robust systems that utilize advanced machine learning techniques.

Be a Pioneer in Home RoboticsAt Sunday, we are at the forefront of developing personal robots designed to liberate individuals from the burden of monotonous chores. Our ambitious mission is to make versatile robots widely available, empowering households to reclaim precious moments.After dedicating the last 18 months to assembling a skilled team, securing funding, and validating our technology, we are eager to welcome passionate individuals to join us on this exciting journey. If you are ready to contribute your expertise to the cutting-edge world of robotics, we want to hear from you!Your Role in Our VisionIn our quest to create home robots, we are addressing a significant challenge in robotics: achieving dexterous and safe mobile manipulation in unpredictable environments. To accomplish this, we are innovating across the entire robotics stack. We are training advanced AI models that utilize our extensive, high-quality, real-world data collection system. Simultaneously, we are developing a novel consumer hardware product that will be integrated into homes, delivering tangible value to our customers. As a foundational member of a compact, cross-disciplinary team, your contributions will be vital in advancing both our technology and product, pushing the boundaries of embodied AI and providing our customers with the freedom to enjoy more of what they love.As a Robotics Systems Integration Engineer, you will be instrumental in ensuring that our home robots are reliable, safe, and capable of being produced at scale. You will collaborate closely with mechanical, electrical, and software engineers to identify and resolve issues with our current robots. Your insights will help refine our manufacturing and quality assurance processes and inform the system architecture for future design iterations. This role offers substantial responsibility and the opportunity to mold cutting-edge technology into a cohesive and trustworthy product.Key ResponsibilitiesIntegrate and test robotic systems, encompassing both actuation and perception hardware.Diagnose and debug interdisciplinary challenges across mechanical, electrical, firmware, and software domains.Initiate, test, and assess essential components, such as sensors and actuators.Maintain motor and sensor drivers, as well as associated software tools, using Python and C++.Establish clear processes for robot assembly, bringing up systems, quality assurance testing, and troubleshooting.Assist in defining component and subsystem performance requirements and develop testing protocols to ensure dependable robot operation.

Join Waymo as a Senior Product Manager focused on AI Data and Metrics, where you will lead innovative projects that shape the future of autonomous driving. You will be responsible for defining product vision, gathering requirements, and working collaboratively with cross-functional teams to ensure successful product delivery.Your expertise in AI and data analytics will play a crucial role in optimizing our metrics and enhancing our decision-making processes.