AI/Machine Learning Engineering Intern (MS/Ph.D. New Graduate)

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 unsupervi…

Join Our Mission at NuroNuro is pioneering the realm of self-driving technology with a vision to make autonomy accessible to everyone. Established in 2016, we are engineering the world’s most scalable driving solution by merging advanced AI with resilient automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed for a variety of applications, from robotaxis to commercial fleets and private vehicles. With years of successful deployments, Nuro offers automakers and mobility platforms a streamlined pathway to commercial-scale autonomous vehicles, cultivating a safer, more integrated future.Role OverviewNuro is in search of a seasoned Technical Lead Manager with robust experience in large-scale infrastructure and workload orchestration, along with proficiency in batch and streaming data processing systems, to enhance our ML Infrastructure team. In this pivotal role, you will spearhead the development of our core platform, guaranteeing our researchers and engineers have uninterrupted access to the compute and data resources vital for advancing autonomous driving technology.As a Technical Lead Manager, you will define the strategy for automated resource provisioning, high-performance workload scheduling, and efficient feature management. You will strike a balance between hands-on technical leadership and effective people management, guiding a talented team while collaborating closely with ML Research and Autonomy teams to remove infrastructure bottlenecks and expedite the Nuro Driver™ development process.Key ResponsibilitiesAs the Technical Lead Manager for ML Platform Infrastructure, you will construct the backbone that fuels Nuro’s model development journey from experimentation to production, including:Technical Strategy Development: Crafting a roadmap for a cohesive ML platform that simplifies complex cloud infrastructure.Resource Provisioning & IaC: Expanding our automated infrastructure-as-code (IaC) pipelines to oversee thousands of GPU/CPU nodes across multiple environments.Intelligent Scheduling: Engineering and fine-tuning workload orchestration to optimize hardware use, minimize job wait times, and manage extensive distributed training.Data Processing & ETL: Creating robust pipelines for the extraction and transformation of petabyte-scale sensor and telemetry data into machine learning-ready formats.Feature Management: Implementing effective feature caching and storage solutions to diminish redundant computations and guarantee quick access to pre-computed features.Team Leadership: Fostering a high-performance culture while mentoring team members.

About Us Nuro is a pioneering self-driving technology company striving to make autonomous vehicles accessible for everyone. Since our founding in 2016, we have been dedicated to creating the world’s most scalable driver, integrating advanced artificial intelligence with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to support various applications, including robotaxis, commercial fleets, and personally owned vehicles. With a track record of successful self-driving deployments, Nuro is paving the way for automakers and mobility platforms to realize the commercial potential of autonomous vehicles, fostering a safer, more connected future. Role Overview As a Senior Machine Learning Research Scientist focusing on Vision-Language-Action (VLA) models, you will enhance our onboard Behavior & Planning stack to promote safe and robust decision-making in complex driving scenarios. Your expertise will drive the development of multimodal models that integrate scene understanding, contextual reasoning, and planning-relevant representations for real-world autonomous driving. This position emphasizes advancing cutting-edge VLA models, including model development, large-scale training, fine-tuning, evaluation, and optimization for onboard deployment. You will collaborate closely with teams across behavior, planning, perception, systems, and infrastructure to translate research breakthroughs into practical applications deployed in our vehicles. If you are passionate about creating and implementing state-of-the-art VLA systems in robotics, we encourage you to apply. Key Responsibilities Develop and enhance VLA models for onboard Behavior & Planning in autonomous driving systems. Create multimodal models that facilitate safe decision-making in complex and ambiguous driving situations. Research and implement state-of-the-art techniques in vision-language-action modeling, multimodal representation learning, and foundational models for autonomy. Train, fine-tune, and evaluate large-scale VLAs utilizing diverse and real-world driving datasets to improve model quality and robustness. Optimize models for efficient onboard deployment, focusing on inference speed, memory usage, and runtime performance. Collaborate with various teams to define training, evaluation, and deployment requirements. Design effective evaluation methodologies for multimodal models in safety-critical scenarios. Contribute to scalable model and data pipelines that support rapid experimentation and deployment. Qualifications Proven expertise in machine learning, particularly in vision-language-action frameworks. Experience with multimodal model development and evaluation. Strong background in autonomous driving systems and decision-making processes. Familiarity with large-scale data training and optimization techniques. Excellent collaboration skills to work effectively with cross-functional teams.

About UsNuro is pioneering self-driving technology with a mission to make autonomy accessible for everyone. Established in 2016, we are developing the world's most scalable driver, integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate diverse applications, ranging from robotaxis to commercial fleets and personal vehicles. With years of proven deployment in self-driving environments, Nuro offers automakers and mobility platforms a viable pathway to commercial-scale autonomous vehicles, creating a safer, more connected future.Role OverviewAs a Senior/Staff Machine Learning Research Scientist, you will work closely with multidisciplinary teams, focusing on generative modeling to solve complex planning challenges in autonomous driving. You will utilize cutting-edge techniques—including diffusion models, flow matching, and energy-based models—to create innovative solutions that enable safe and efficient driving behavior in real-world scenarios. Additionally, you will manage the complete lifecycle of your models, transitioning them into robust applications for global autonomous driving deployments.Key ResponsibilitiesDesign and enhance state-of-the-art generative models, particularly focusing on diffusion architectures, flow-matching methods, and energy-based models, aimed at autonomous plan generation.Integrate large language models and world foundation models to facilitate reasoning, decision-making, and multi-modal generation.Employ reinforcement learning to optimize generative models for interactive reasoning, and investigate reward modeling and self-play methodologies.Create controllable generative models that steer the generation process towards specific goals and conditions.Collaborate with various autonomy teams to develop comprehensive solutions for key challenges in autonomous technology, ensuring rigorous evaluation through deployment on the Nuro Driver.

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, Waymo has committed to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. With the Waymo Driver powering our fully autonomous ride-hail service, we have achieved over ten million rider-only trips, backed by more than 100 million miles driven autonomously on public roads and tens of billions of miles simulated across 15+ U.S. states.The Waymo Mapping Team is on a mission to create a high-resolution map of the world to ensure safe autonomous driving. Our innovative approach combines automated and manual mapping techniques, alongside building the necessary infrastructure to store, process, and disseminate mapping data. Collaboration is key as our team partners with various Waymo divisions that depend on map data.In this role, you will:Lead a dynamic team focused on Field Response infrastructure, driving the next phase of Waymo’s rapid expansion.Own the strategy and roadmap for Mapping change detection, a pivotal element in scaling our mapping capabilities.Recruit and mentor a team of engineers to tackle complex business challenges and technical obstacles.Design and implement mission-critical systems that enable low-latency responses from Waymo’s fleet signals.Build resilient backend infrastructure and data processing systems that can scale with Waymo’s growth.You have:A seasoned managerial background, enthusiastic about leading teams while maintaining technical expertise.Proven experience as a backend engineer, with a history of building server-side infrastructure and effective data processing systems.Strong programming skills, with C++ being highly preferred.Over 7 years of total professional experience, including at least 2 years in a managerial role.A robust sense of ownership and the ability to navigate uncertainty effectively.A successful track record of guiding teams through complex technical challenges.It’s a bonus if you possess:Experience in Mapping and Localization.Background in the Autonomous Vehicle industry.Experience in hiring and developing a new team.#Li-Hybrid

About UsAurora Innovation is dedicated to revolutionizing transportation by harnessing the power of self-driving technology. Our mission is to ensure that these advancements are delivered safely, swiftly, and widely.Our flagship innovation, The Aurora Driver, is set to usher in a new era of mobility and logistics, leading to a future that is safer, more efficient, and accessible for everyone.At Aurora, you will engage with complex challenges alongside a team of passionate and intelligent professionals, allowing you to grow into an expert while expanding your knowledge. For the latest updates from Aurora, visit aurora.tech or follow us on LinkedIn.Aurora is committed to hiring talented individuals from diverse backgrounds who are eager to contribute to a transportation ecosystem that enhances road safety and improves the efficiency of mobility for all. We are currently looking for a Mapping Programs Manager to lead a team of Program Managers focused on driving operational excellence in map delivery initiatives. This role will establish structured program management practices to ensure that milestones are well-defined, progress is communicated effectively, and risks are managed proactively.The ideal candidate will excel in organizing a wide range of technical information, developing scalable tracking systems, and communicating effectively with stakeholders at all levels. You will mentor and develop early-career Program Managers while ensuring that programs are executed with discipline, transparency, and alignment across the organization.

About Bespoke LabsBespoke Labs is a leading applied AI research laboratory at the forefront of data and reinforcement learning environment curation for the training and evaluation of AI agents.We recently developed Open Thoughts, an acclaimed open reasoning dataset utilized by various frontier labs. Our innovations include training state-of-the-art specialized models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck, and teaching agents to perform multi-turn tool-calling using reinforcement learning techniques.We are also proud contributors to Terminal-bench, a premier benchmark for agent evaluation widely used by top research labs. Bespoke Labs specializes in creating RL environments for elite labs and customized agents for businesses.About The RoleWe are seeking talented AI Enterprise Engineers who will engage directly with our enterprise clientele, overseeing both strategy and execution. You will play a key role in defining model and agent specifications, identifying user pain points, and designing tailored agents.Your responsibilities will include benchmarking models and developing datasets tailored to customer requirements using Bespoke Labs tools. Moreover, you will enhance model performance through context optimization and advanced post-training methodologies such as Supervised Fine-Tuning (SFT) and reinforcement learning (RL). At Bespoke Labs, you will have the opportunity to engage with ongoing core research in this domain, including the latest prompt optimization techniques like GEPA.AI Engineers blend research intuition with practical implementation. You will need to comprehend agent behaviors, identify reward hacking, and analyze failure modes, translating these insights into enterprise-deployed specialized agents.The ideal candidate will possess:Strong proficiency in Python and experience in machine learning product development.A solid background in Computer Science or Electrical and Computer Engineering, with a Master’s or Ph.D. degree preferred.Demonstrated expertise in machine learning and AI fundamentals, including model evaluation, training, and fine-tuning.Experience in deploying models in a production environment.

About Bespoke LabsBespoke Labs is a cutting-edge applied AI research laboratory at the forefront of data and reinforcement learning (RL) environment curation. We are dedicated to training and evaluating intelligent agents through innovative methodologies.Recently, we developed Open Thoughts, an exceptional open reasoning dataset now utilized by leading labs, enabling the training of state-of-the-art specialized models such as Bespoke-MiniChart-7B and Bespoke-MiniCheck. We have also successfully taught agents to execute multi-turn tool-calling using reinforcement learning techniques.Bespoke Labs is strategically positioned to capture a significant market share in data curation and RL environment development.About The RoleWe are seeking a Research Engineer to integrate pioneering research with large-scale development and deployment of RL environments. This role will place you at the intersection of research and engineering, collaborating with leading labs and enterprise clients to identify their requirements and transform those insights into systematic environment creation.The ideal candidate will possess both research acumen and execution excellence. You will need to stay abreast of the latest advancements in agent training, effectively communicate with research teams at top labs, and construct robust systems that deliver high-quality environments at scale. You should be equally comfortable with academic literature, prototyping new approaches, and deploying production pipelines.Your collaboration will extend to external partners (frontier labs, enterprise clients) and internal teams, ensuring that our research insights are translated into impactful products that enhance the capabilities of agent training.What You'll DoResearch & CollaborationCollaborate with leading AI labs to comprehend their agent training requirements and design tailored environments.Keep updated with the latest research in RL, agent training, and evaluation methodologies.Prototype innovative approaches for environment generation, curriculum design, and data curation.Convert academic findings into actionable engineering solutions.Environment & Data Pipeline DevelopmentDesign and implement scalable data pipelines for RL environments.Enhance existing systems for performance and reliability.Collaborate with cross-functional teams to deliver integrated solutions.

As a Senior Program Manager for Mapping Operations at Waymo, you will lead cross-functional teams to drive the development and execution of mapping strategies and initiatives. Your expertise will be critical in ensuring the precision and efficiency of our autonomous vehicle mapping system. This role offers the opportunity to work with cutting-edge technology in a fast-paced environment.

Join poetiq as an AI Engineer, where you will play a critical role in developing a powerful and scalable platform utilizing advanced foundation models. You will be responsible for architecting a comprehensive system that integrates with large language models (LLMs), overseeing complex multi-step interactions necessary for information extraction and synthesis. You should thrive in building and operating high-performance infrastructures that enable rapid, self-improving reasoning capabilities.You are an ideal candidate if you:Have a deep passion for Python and possess expertise in constructing intricate, agentic systems or multi-step, stateful execution frameworks.Can independently transform both well-defined and abstract concepts, including your own innovative ideas, into tangible solutions.Demonstrate proficiency in designing and building dependable, high-performance infrastructures that heavily interface with external, third-party LLMs—some of which are experimental, while others are widely deployed.Are skilled at creating clean abstractions for complex workflows, particularly in synthesizing fragmented data collected through thousands of parallel, asynchronous queries.Place a high value on code quality, performance evaluation, and developing a stable, scalable platform that supports autonomous research operations.

Waymo is a pioneering autonomous driving technology company dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access while saving lives that are currently lost to traffic accidents. The Waymo Driver facilitates our fully autonomous ride-hail service and is adaptable to a variety of vehicle platforms and product use cases. To date, we have completed over ten million rider-only trips, driven over 100 million miles on public roads, and performed tens of billions of miles in simulation across more than 15 U.S. states.The Waymo ML Frameworks & Efficiency team collaborates with both Research and Production teams to create core models in Perception and Planning essential to our autonomous driving software. We empower our partners by providing optimal frameworks throughout the model development lifecycle, encompassing both pre-training and post-training phases. Our frameworks are designed to efficiently scale models while addressing the unique challenges of machine learning in autonomous driving.We invite skilled engineers with expertise in machine learning systems to join us in refining and enhancing pre-trained models for deployment within the Waymo Driver and future products. You will collaborate with researchers and modeling engineers across the organization to tackle the complexities of large-scale reinforcement learning (RL), developing systems capable of scaling across various computational, data, and environmental contexts to enhance model intelligence and interpret human driving behaviors.

About MatXAt MatX, we are pioneering the future of artificial general intelligence (AGI) by creating an innovative compute platform. Our team is dedicated to developing comprehensive full-stack solutions that span from silicon to systems, integrating both hardware and software to support the most demanding machine learning workloads for AGI. We leverage the Rust programming language as our primary tool for this groundbreaking work.Your Role as a Software Engineer - CompilerDesign and implement compilers specifically crafted for our unique hardware architecture.Provide expert guidance on hardware architecture from a compiler author's perspective.Concentrate on midend and backend development to optimize compiler performance.

Waymo is a pioneering autonomous driving technology company with a vision to become the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while preventing countless lives lost in traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and product use cases. To date, the Waymo Driver has successfully completed over ten million rider-only trips, backed by its extensive experience of autonomously navigating over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states.The Perception team is responsible for creating the systems that interpret spatial-temporal representations and their semantic meanings of the environment surrounding the self-driving car. We collaborate closely with downstream teams to optimize and integrate these systems into the Waymo Driver. Our team conducts innovative research to solve real-world challenges and partners with research teams at Alphabet, leveraging millions of miles of driving data from a diverse range of sensors. This enables our engineers to (1) devise methods for continuous learning from large-scale real-world data, (2) design and scale model training, (3) analyze real-world behavior and develop systems for managing real-world complexities, and (4) optimize models for our onboard and offboard hardware.In this hybrid role, you will report to a Senior Staff Technical Lead Manager.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World's Most Experienced Driver™—aiming to enhance mobility access and prevent the thousands of lives lost to traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states, we are revolutionizing transportation.The Labeling Platform Team is pivotal in creating data solutions that fuel innovative research and development throughout all phases of the ML Lifecycle: pretraining, supervised fine-tuning, and reinforcement learning. The high-quality labeled data produced by our team is essential for enhancing the Waymo Driver and various models that support broader business initiatives.

What MatX Is Building At MatX, we are committed to creating the compute platform for Artificial General Intelligence (AGI). Our team is developing comprehensive full-stack solutions that encompass both hardware and software, designed to efficiently train and execute the largest machine learning workloads for AGI. Our primary programming language is Rust. What You'll Do Here Design and optimize kernels that interact directly with our hardware architecture. Collaborate closely with our Machine Learning Research and Hardware Engineering teams. Provide programming insights and guidance on hardware architecture to ensure seamless software integration. Who You Are Bachelor's degree in Computer Science or a related field. Experience in optimizing software for specialized hardware using techniques like parallelism, SIMD programming, C, assembly optimization, or GPU/CUDA programming. Proficient in at least one of the following languages: assembly, C++, C, Zig, or Rust. This is a hybrid position requiring you to work in our Mountain View, CA office 3 days a week (Tuesday through Thursday). Bonus Points If You Have Experience with kernel implementations for machine learning models, including Transformers. Familiarity with distributed parallelism techniques like AllReduce, AllToAll, data parallelism, and tensor parallelism. Understanding of compiler operations. Compensation Compensation for this full-time role is based on several factors including experience, skills, and location. Career length is considered as a guideline for salary. 0-5 years of experience - $120,000 - $200,000 + equity 5-10 years of experience - $120,000 - $300,000 + equity 10+ years of experience - $120,000 - $400,000 + equity What We Offer A Stake in Our Success: A competitive cash/equity mix tailored to your needs, with the option for early exercise. Health & Wellness: Comprehensive health, dental, vision, and life insurance, along with pre-tax Health Savings Accounts featuring generous contributions. Time To Recharge: 4 weeks of paid time off (accrued), 12 company holidays, and additional time off for personal needs.

Join LinkedIn as a Senior AI Engineering Manager in our Ads AI team, where you'll lead innovative projects that leverage artificial intelligence to enhance advertising solutions. Collaborate with cross-functional teams to drive the development of cutting-edge AI technologies that transform how businesses connect with their audiences. Your leadership will empower engineers to reach their fullest potential while fostering a culture of innovation and excellence.

Senior Fullstack Software Engineer IIJoin our dynamic web team as a Senior Fullstack Engineer, where you will lead the charge in developing the next evolution of the Moveworks Agentic Assistant ecosystem. This role offers a unique opportunity to harness the power of machine learning and generative AI, creating innovative and engaging web applications that directly enhance the experiences of our customers. Your expertise is needed now!We are building an enterprise-centric generative AI ecosystem, and your contributions will shape various functionalities, catering to diverse user personas. You will design AI-powered agent builder experiences and develop robust UI frameworks that serve as scalable, reliable building blocks for our applications.Responsibilities:Design and implement innovative AI-powered features for our agent builder product, utilizing the latest technologies to maximize business value.Expand our product's footprint across diverse customer bases, sectors, and global markets while ensuring high-quality engineering practices.Architect and enhance Moveworks' web technology stacks, including authentication, event tracking, application platforms, and design systems.Encourage best practices and standards for building modular, scalable web applications and APIs in conjunction with backend services.Collaborate closely with product, machine learning, and engineering teams to enhance user experiences, address technology gaps, and boost customer engagement.Thrive in a fast-paced startup environment where you will enjoy a high level of ownership.

About CommerceIQ CommerceIQ builds AI-driven solutions that help brands improve their digital commerce performance. The platform supports over 2,200 brands, including Coca-Cola, Nestle, Colgate-Palmolive, and Mondelez, across more than 900 retailers in 50+ countries. CommerceIQ’s tools help optimize marketing, supply chain, and sales operations to grow market share. The company has raised over $200M from investors such as SoftBank, Insight Partners, and Madrona. Learn more at commerceiq.ai. Role Overview CommerceIQ is hiring a Director of Engineering - AI Solutions to lead the development of advanced AI-powered SaaS products. This leader will shape the technical architecture of the AI platform while guiding and mentoring a team of engineers. The role combines hands-on engineering with team leadership. What You Will Do Drive the design and implementation of AI and agentic applications for digital commerce. Work closely with co-founders to push the boundaries of applied AI in the industry. Scale AI systems from research through production, ensuring real business impact for global brands. Mentor and develop engineering talent within the AI team. Who We’re Looking For Experienced technical leader in Data Science and Machine Learning. Background in training and deploying machine learning models at scale. Experience developing agentic applications. Comfortable working both as a hands-on contributor and as a mentor. Location and Work Schedule This is an onsite role based at CommerceIQ’s headquarters in Mountain View, California. The team works in the office Monday through Friday.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, our focus has always been on developing the Waymo Driver—The World’s Most Experienced Driver™—aimed at enhancing mobility access and preventing traffic-related fatalities. With the Waymo Driver, we power a fully autonomous ride-hailing service and cater to various vehicle platforms and applications. Our driver has successfully completed over ten million rider-only trips, with the experience of autonomously navigating over 100 million miles on public roads and simulating tens of billions of miles across more than 15 U.S. states.The ML Ops team, a vital part of Waymo's Machine Learning Platform, is tasked with creating tools and infrastructure that enable the ML flywheel at Waymo. This entails the development of automation and orchestration solutions that streamline complex ML workflows, ensuring they are both manageable and reliable. Our team collaborates closely with the modeling team to enhance developer velocity.We are seeking a talented Software Engineer to join our team, focusing on the construction and maintenance of essential data and ML pipelines that drive ML development at Waymo.In this hybrid position, you will report directly to the Head of ML Platform, who is a Senior Staff Software Engineer.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Born from the Google Self-Driving Car Project in 2009, Waymo develops the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and drastically reduce traffic-related fatalities. Our fully autonomous ride-hail service has completed over ten million rider-only trips, thanks to the Waymo Driver's extensive experience of autonomously navigating more than 100 million miles on public roads and executing tens of billions of miles in simulation across 15+ U.S. states.The Software Engineering team is instrumental in crafting the intelligence behind Waymo's autonomous driving technology. Our sophisticated software empowers the Waymo Driver to interpret its surroundings, make critical decisions in real-time, and transport passengers safely to their destinations. We tackle complex technical challenges in fields such as robotics, perception, decision-making, and deep learning, working closely with hardware and systems engineers. If you are a software engineer or researcher with a passion for Level 4 autonomous driving, we invite you to apply.Every mile logged by a Waymo vehicle generates a unique and invaluable dataset, which is crucial for refining our machine learning models and enhancing the safety and efficacy of the Waymo Driver. You will lead the architecture of a comprehensive data-driven self-improvement loop that integrates every autonomous mile into our machine learning processes. This involves collaboration with Waymo's infrastructure, modeling, and evaluation teams to continuously scale and improve the entire ML lifecycle.In this role, you will report to our Distinguished Engineer, Foundation Models.