Be Part of the Future of Autonomous RoboticsAt Bedrock Robotics, we are pioneering the transition of AI from theoretical frameworks to practical applications in the built environment. Our team is comprised of seasoned professionals who have been instrumental in the success of innovative companies such as Waymo, Segment, and Uber Freight. We are at the forefront of deploying autonomous technologies in heavy construction machinery, significantly enhancing the efficiency and safety of multi-billion dollar infrastructure projects across the nation.With backing from $350 million in funding, our mission is to address the urgent need for housing, data centers, and manufacturing facilities, while simultaneously responding to the construction industry's labor shortages.This position is where cutting-edge algorithms meet the practical world of construction. You will work alongside industry experts and top-tier engineers to tackle complex real-world challenges that cannot be simulated. If you are eager to leverage advanced technology for impactful problem-solving within a skilled team, we encourage you to apply.

About the RoleIn this exciting position, you will address comprehensive challenges to enhance the performance of our AI models deployed on robotic systems. Your responsibilities will include adding new features to our video processing data pipeline, updating our machine learning data loaders, training models to validate your modifications, and testing these changes in real-world robotic applications. This role requires the integration of numerous distributed Python services to achieve specific data processing and application tasks, alongside managing substantial cloud infrastructure for efficient business logic processing at scale.Your responsibilities will include:Conceptualizing and implementing innovative solutions to enhance system robustness, scalability, and speed.Revamping existing systems and services to accommodate significant future growth.Developing business logic to ensure our robots access the necessary data and that customers receive appropriate access to our robotic solutions.You may excel in this role if you:Possess extensive experience in building complex distributed applications or data pipelines at scale.Have a background in processing petabytes of data, especially video data.Demonstrate expertise in Python, with foundational knowledge in distributed infrastructure and solid understanding of modern machine learning principles.Have a robust foundation in contemporary ML techniques with experience in large-scale ML training and production deployments.Have familiarity with distributed cloud infrastructure and a deep understanding of cloud networking, permissions, and container orchestration (Kubernetes).About GeneralistAt Generalist, our mission is to realize the potential of general-purpose robots. We envision a future where industries and homes thrive on the collaboration between humans and machines. Our robots are designed to enhance productivity and efficiency.We focus on developing embodied foundation models, starting with dexterity, which necessitates pushing the boundaries of data, models, and hardware to enable robots to intelligently interact with their environments.Our company is deeply rooted in large-scale AI and robotics, with a team drawn from leading organizations like OpenAI, Boston Dynamics, and Google DeepMind, all committed to delivering groundbreaking advancements in AI technology.

Join the forefront of technology as we revolutionize the construction industry with advanced autonomy.Be a Part of Innovation at Bedrock RoboticsAt Bedrock Robotics, we are transforming artificial intelligence from theoretical concepts into practical applications that enhance the world’s infrastructure. Our team comprises seasoned professionals who have been pivotal in launching industry leaders like Waymo, scaling Segment to a $3.2 billion acquisition, and driving Uber Freight to $5 billion in revenue. We are currently implementing autonomous systems in heavy construction machinery nationwide, expediting the timelines of multi-billion dollar infrastructure developments while significantly enhancing job site safety.With a robust funding of $350 million, we are rapidly addressing the escalating demand for housing, data centers, and manufacturing facilities, all while tackling the construction sector's increasing labor shortages. This is where innovative algorithms meet the realities of heavy machinery.If you are passionate about leveraging cutting-edge technology to tackle real-world challenges and wish to collaborate with a talented team of industry experts, we invite you to apply.Role: Machine Learning Engineer: EvaluationBedrock Robotics is on a mission to integrate autonomy into construction processes! We are seeking a driven engineer with substantial experience in evaluating complex machine learning systems in real-world scenarios. Your objective will be to convert the intricate dynamics of the built environment into actionable, AI-driven evaluations that enhance the adoption of our Bedrock Operators.The ideal candidate will have a proven track record in developing evaluation systems and executing statistical analyses to assess performance variations across system iterations. Your experience in iterating on complex machine learning systems in production environments will be crucial, as you navigate the intricacies involved.Your Responsibilities:Design and Maintain Evaluation Systems:Develop and maintain pipelines for performance measurement—encompassing both open-loop and closed-loop simulations, hardware-in-the-loop systems, and field data from Bedrock Operator-equipped machinery. Collaborate with other teams to glean insights earlier in the development cycle through optimized workflows.Develop Metrics:Align product objectives with system behaviors by translating real-world specifications into measurable indicators derived from logged data. Enable data-driven decision-making for everything from parameter adjustments to strategic program planning.

At Scale AI, our Physical AI division is at the forefront of addressing data challenges in Robotics, Autonomous Vehicles, and Computer Vision. We invite you to join our team as a Machine Learning Systems Engineer, where you will play a pivotal role in applied research and the development of machine learning pipelines. Your focus will be on enhancing algorithms and pipelines for optimal performance on cloud-based GPU systems, empowering advancements in Physical AI research and applications.Your Role:As a Machine Learning Systems Engineer within the Physical AI team, you will design and implement robust platforms that ensure the scalable and efficient deployment of foundational models for physical agents. Your contributions will support groundbreaking research and production systems, facilitating internal discoveries and external applications in the fields of robotics and autonomous technology.We seek candidates who possess a strong foundation in machine learning coupled with extensive backend system design expertise. You will thrive in a collaborative environment, bridging the gap between Physical AI research and production engineering to expedite innovation across Scale AI.

About Us:Aurelius Systems is a venture capital-backed startup at the forefront of defense technology, specializing in the development of autonomous, edge-deployed robotic systems utilizing directed energy for counter-unmanned aerial systems (UAS).Our innovative approach involves creating laser systems designed to neutralize drones.With a dedicated team of approximately 10 engineers, former U.S. military personnel, and industry experts, we are committed to advancing America's capabilities in directed energy technology, delivering the first cost-effective and reliable laser weapon systems.Inspired by the philosophy of Marcus Aurelius, we emphasize consistent effort and accountability in our work, embodying a culture of high output without excuses. Following in the footsteps of pioneers like Henry Ford, we embrace innovation and action within our small but impactful team.In addition to our San Francisco headquarters, we are proud to operate a manufacturing hub in Detroit and conduct field tests weekly on our expansive private range.If you thrive on seeing your engineering contributions directly in action rather than being confined to a lab, we encourage you to explore this opportunity.The Position & Your Contribution:As a Robotics Software Systems Engineer, your primary responsibility will be to ensure that all subsystems function seamlessly and efficiently together.Our system comprises a complex array of subsystems including sensing, computer vision, machine learning inference, control systems, power management, and mechanical actuation. Achieving minimal processing time and inter-process latency is crucial for successfully targeting our nimble and evasive UAS.The key area we are looking to fill is real-time systems performance at the hardware interface. You should possess a deep understanding of how software execution impacts physical system behavior, how latency accumulates across CPU, GPU, memory, and I/O, and how bandwidth limitations influence sensor data processing. We need an engineer who is detail-oriented, considering microseconds, memory bandwidth, cache behavior, and system determinism.In our tight-knit team of around 10 engineers, you will have the opportunity to take ownership of systems that are field-tested. The success of our tests is binary—it's either effective or it isn't—and your role will involve iterative improvement based on real-world outcomes.Your Responsibilities:Manage the latency budget for the entire platform, from data sensing to actuation.Profile and mitigate latency across CPU, GPU, memory, and I/O interfaces.Develop and optimize kernels for high-throughput, low-latency operations.Adjust memory access patterns for optimal performance.

Join Anthropic as a Machine Learning Systems Engineer within our Encodings and Tokenization team, where you'll play a pivotal role in refining and optimizing our tokenization systems across Pretraining and Finetuning workflows. By bridging the gap between our Pretraining and Finetuning teams, you will help shape the essential infrastructure that enhances how our AI models learn from diverse data. Your contributions will be crucial in ensuring our AI systems remain reliable, interpretable, and steerable, driving forward our mission of developing beneficial AI technologies.

Join us at Physical Intelligence as a Research Scientist, where you will be at the forefront of innovation in machine learning and robotics. We are in search of exceptional researchers across all experience levels who demonstrate a strong track record of impactful research results. Ideal candidates will possess a solid foundation in both practical implementation and theoretical frameworks, showcasing a blend of system-building capabilities and significant conceptual, algorithmic, or theoretical advancements. We value diverse backgrounds and encourage applications from both traditional academic researchers and those with unique, unconventional experiences.We are committed to fostering a diverse and inclusive workplace. In accordance with the San Francisco Fair Chance Ordinance, we welcome applications from qualified individuals with arrest and conviction records.

About KreaKrea is at the forefront of developing advanced AI creative tools designed to enhance and empower human creativity. Our mission is to create intuitive and controllable AI solutions that allow creatives to express themselves across various formats including text, images, video, sound, and 3D.About the PositionWe are seeking a talented Machine Learning Engineer to lead the design and implementation of Krea’s personalization and recommendation systems from the ground up. You will take full ownership of how we comprehend user preferences, curate engaging content, and customize generative models to reflect individual aesthetics.This role sits at the exciting intersection of recommendation systems, representation learning, and generative imaging and video technologies.Your ResponsibilitiesLead the architecture and development of Krea’s personalization and recommendation framework, overseeing the technical direction from inception to deployment.Craft algorithms that effectively model user preferences and tastes, enabling our systems to adapt to individual styles and aesthetics.Develop high-quality, curated feeds that strike a balance between exploration, personalization, and aesthetic coherence.Collaborate closely with our model and research teams to co-create personalization mechanisms that shape how our generative models learn, adapt, and express creative styles.Contribute to research in personalized image generation, with a focus on style, taste, and subjective quality.Work in tandem with product, design, and research teams to define what “good personalization” means in a creative context.Take systems from initial research and prototyping stages through to production, ongoing iteration, and enhancement.

About the Role:Join our dynamic ML Infrastructure team as a Software Engineer, where you'll collaborate intimately with the Machine Learning and Product teams to construct top-tier machine learning inference platforms. These cutting-edge platforms drive vital services such as personalized recommendations, search functionalities, and content comprehension at Tubi.Your primary focus will be on the development and maintenance of low-latency ML model serving systems that cater to Deep Learning, LLM, and Search models. This will include the creation of self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine.In this role, you'll enhance our service deployment and operational processes, with opportunities to contribute to open-source projects. Enjoy architectural freedom to explore innovative frameworks, spearhead significant cross-functional projects, and elevate the capabilities of our ML and Product teams.We are currently hiring for two positions:Staff Software EngineerPrincipal Software EngineerAdditional Details: As a Principal Engineer, you will serve as a technical leader and visionary, guiding the advancement of our machine learning platform. You'll address complex technical challenges, shape architectural decisions, and mentor senior engineers, fostering a culture of excellence and continuous improvement. Your contributions will impact millions of users.

Join Our Innovative Team as a Robotics Software Engineer!Location: San Francisco, CA (full-time, in-person)Company OverviewAt Cosmic Robotics, we aim to revolutionize the construction of essential infrastructure on Earth while developing advanced technologies to facilitate humanity's expansion beyond our planet. Our flagship project, Cosmic-1, is designed to install solar panels at a speed 10 times faster than current methods, propelling us toward a sustainable energy future and laying the foundation for autonomous construction in the years to come.Your RoleAs a Robotics Software Engineer, you will be instrumental in coding, testing, and deploying software for our robots engaged in live field projects. You will be a pivotal member of our team, influencing the future of autonomous construction.Why Join Us?Tackle significant challenges that will shape the future of energy and infrastructure.Collaborate with an elite team hailing from renowned organizations like NASA, SpaceX, Google, and Built Robotics.Experience rapid personal and professional growth within a fast-expanding company.Key ResponsibilitiesDesign, develop, and implement software for robotic manipulation, navigation, and path planning systems.Contribute across the entire software stack, from low-level motor control and sensor integration to high-level application logic.Ensure the safety and reliability of mission-critical systems through comprehensive testing and adherence to best engineering practices.Collaborate with hardware teams to initiate new systems and resolve technical issues.Travel to customer sites for on-site testing and deployment of robotic solutions.Maintain high code quality through reviews, automated testing, and thorough documentation.QualificationsA minimum of 2 years of professional engineering experience.Proficiency in C++, Python, and Linux development.Solid foundation in algorithms, software architecture, planning, and execution.Strong communication and project management abilities.

Are you passionate about the intersection of robotics and artificial intelligence? We are seeking a Robot Learning Generalist to join our innovative team. In this role, you will leverage your expertise to develop and implement advanced learning algorithms that enhance robotic capabilities. You will collaborate with a diverse group of engineers and researchers to push the boundaries of what robots can achieve in real-world scenarios.As a part of our team, you will have the opportunity to work on cutting-edge projects that have a tangible impact on the future of robotics. Your contributions will help shape the development of intelligent systems that can learn from their environment and adapt to new challenges.

Founding Robotics Engineer in AI & SoftwareAre you an innovative engineer with a strong enthusiasm for robotics and AI, thriving in collaborative, cross-functional teams? Join us at Foundry Robotics, a pioneering seed-stage startup dedicated to developing advanced robotics solutions tailored for the manufacturing sector. We are seeking a Founding Engineer to become part of our core team, someone who excels in a dynamic environment, takes significant ownership, and is eager to tackle intricate mechanical and manufacturing hurdles.About UsAt Foundry Robotics, we are transforming the manufacturing landscape through state-of-the-art robotics. Our mission is to rejuvenate the American manufacturing industry with an AI-first approach, focusing on assembly and dual-use contract manufacturing. We strive to empower manufacturers with intelligent, efficient, and adaptable robotic systems that redefine productivity and quality. As a founding member of our engineering team, your contributions will have a direct and meaningful impact on our products, culture, and overall success. This position requires full-time, in-person work at our office located in the Mission District of San Francisco.The RoleIn the role of Founding Engineer, you will play a crucial part in the design, development, and deployment of AI and software infrastructure for our autonomous robotic systems. This position requires a hands-on approach, a deep understanding of computer vision and VLA models, as well as proficiency in ROS. You will be responsible for creating high-quality, high-performance software that meets the demanding requirements of a manufacturing environment.Key ResponsibilitiesDesign, develop, and implement innovative AI and software solutions for autonomous robotics in manufacturing.Lead the advancement of computer vision algorithms and VLA models to enhance robotic perception and control.Architect and construct robust, scalable, and high-performance software systems optimized for superior reliability.Leverage ROS2 (Robot Operating System) for diverse robotic applications.Collaborate closely with hardware engineers, product managers, and other stakeholders.Take full ownership of critical software components from conception through deployment.Serve as the primary technical liaison with vendors, partners, and customers, representing the company in external interactions.Contribute to the company's overall technical strategy and roadmap.

About NudgeAt Nudge, our goal is to create innovative technologies that connect with the brain, enhancing individuals’ lives. We’re pioneering a non-invasive, ultrasound-based device designed to stimulate and image the brain with high precision and depth. This initiative involves developing state-of-the-art hardware, software, and research capabilities to deliver products that can positively impact millions — and eventually billions — of people.About the RoleAs a Machine Learning Software Engineer at Nudge, you will:Engineer imaging algorithms utilizing proprietary ultrasound transducers and advanced computing resources to visualize the brain and skull.Create sophisticated acoustic simulations to model sound scattering in the skull, enabling precise dose predictions.Develop real-time computer vision systems to monitor brain target movements and dynamically adjust parameters to ensure accurate targeting.Collaborate closely with mechanical, electrical, and ultrasound engineers, as well as transducer designers and neuroscientists.About YouWe are searching for engineers of all experience levels, with a preference for those boasting a minimum of three years in the industry. Regardless of your experience, you should possess:A solid understanding of engineering principles, physics, and signal processing.Proficiency in writing production-level code, preferably in Python.A degree in Computer Science or a related engineering field.No prior experience in ultrasound or neuroscience is required.Experience in delivering real-world products that provide tangible value; ideally, you have dealt with complex real-world sensors.A high level of integrity.

Role overview Whatnot seeks a Software Engineer specializing in Machine Learning Infrastructure to develop and maintain the systems powering its machine learning applications. This position is based in San Francisco, CA and centers on building the technical backbone that supports machine learning efforts across the company. What you will do Develop and improve frameworks that enable machine learning throughout Whatnot’s platforms. Collaborate with teams from multiple disciplines to design infrastructure that can scale as needs grow. Support seamless integration of machine learning models into existing products.

Join Scale AI's ML platform team (RLXF) as a Machine Learning Research Engineer, where you will play a pivotal role in developing our advanced distributed framework for training and inference of large language models. This platform is vital for enabling machine learning engineers, researchers, data scientists, and operators to conduct rapid and automated training, as well as evaluation of LLMs and data quality.At Scale, we occupy a unique position in the AI landscape, serving as an essential provider of training and evaluation data along with comprehensive solutions for the entire ML lifecycle. You will collaborate closely with Scale's ML teams and researchers to enhance the foundational platform that underpins our ML research and development initiatives. Your contributions will be crucial in optimizing the platform to support the next generation of LLM training, inference, and data curation.If you are passionate about driving the future of AI through groundbreaking innovations, we want to hear from you!

Join Our Mission to Revolutionize Autonomy in ConstructionAt Bedrock Robotics, we are pioneering the integration of AI in real-world applications. Our innovative team comprises industry experts who contributed to the success of Waymo, facilitated Segment's $3.2B acquisition, and propelled Uber Freight to $5B in revenue. We are at the forefront of deploying autonomous systems in heavy construction machinery nationwide, significantly enhancing the efficiency of multi-billion-dollar infrastructure projects while prioritizing safety on job sites. With an impressive $350M in funding, we are rapidly addressing the escalating demand for housing, data centers, manufacturing facilities, and the pressing labor shortage in the construction sector.This is where groundbreaking algorithms converge with the realities of the construction field. You will partner with seasoned construction professionals and elite engineers to tackle complex challenges that go beyond simulation capabilities. If you are eager to leverage cutting-edge technology to make a tangible impact alongside a talented team, we invite you to apply.Your RoleAs part of the Onboard Infrastructure team, you will be responsible for developing the foundational software and middleware that operates on our onboard computer, utilizing Rust from board bring-up to middleware.We are seeking a Staff Software Engineer to conceptualize and implement our onboard runtime framework. This framework is crucial for the safe and efficient operation of our autonomy stack, allowing our Machine Learning and Controls teams to accelerate their workflows and deliver with assurance.Your ResponsibilitiesDesign and develop the core application runtime framework, incorporating application lifecycle management, deterministic scheduling, and sophisticated configuration systems that manage complex subsystem dependencies.Create high-performance communication systems and zero-copy interfaces for low-latency, real-time sensor data, including cameras and lidars.Build onboard infrastructure to enhance system observability, diagnostics, and ensure deterministic logging and replay capabilities.Establish and uphold coding standards and code quality, promoting Rust best practices while mentoring junior engineers.Collaborate closely with Machine Learning and Controls teams to ensure the platform meets the stringent requirements of advanced autonomy.Required Qualifications10+ years of software engineering experience, with a focus on systems programming in Rust.Proven track record in developing high-performance, real-time systems.Strong understanding of middleware architectures and software design principles.Experience working in collaborative, cross-functional teams.

About Physical Intelligence Physical Intelligence is building general-purpose AI for the physical world. The team brings together engineers, scientists, roboticists, and entrepreneurs focused on foundational models and learning algorithms for robots and interactive devices. Role Overview The Robotics Research Engineer works at the intersection of hardware, software, and large-scale model training. The goal: develop efficient autonomous robot policies that move the field forward. What You Will Do Design robotic systems and data collection pipelines to generate high-quality training data Develop learning algorithms that turn collected data into reliable, effective robot policies Contribute to vision-language-action models, from concept through implementation Help shape datasets, research infrastructure, and the direction of robotics research at Physical Intelligence Location San Francisco

Join xdof at a pivotal moment as we lead the charge in the development of general-purpose robotics. With frontier labs racing to create advanced robotic systems, high-quality training data is a critical challenge. Our mission is to build the essential infrastructure that supports foundational models – from data collection systems and operational capabilities to an exabyte-scale data warehouse and innovative software toolchains. This will empower our partners to advance the field of robotics.As a Research Engineer, you will be at the forefront of designing, constructing, and deploying real-world robotic learning systems. Your work will encompass manipulation, locomotion, and control, transitioning robots from raw hardware to fully operational systems.This hands-on position requires you to take ownership of systems from inception to deployment on actual robots. You will play a crucial role in establishing the technical foundations that facilitate large-scale robotic learning.

About UsAt Applied Compute, we specialize in creating Specific Intelligence solutions for enterprises, developing agents that learn continuously from an organization’s processes, data, expertise, and objectives. We recognize a significant gap between the capabilities of AI models in isolation and their practical applications in real-world business contexts. Our systems often fall short because they lack adaptability to feedback. To address this, we are building a continual learning infrastructure that captures context, memory, and decision-making processes throughout the enterprise, enabling specialized agents to effectively execute real tasks.What Excites Us: We operate at a unique intersection where our product team constructs the platform that fuels a new generation of digital coworkers. Our research team pushes the boundaries of post-training and reinforcement learning, creating innovative product experiences. Our applied research engineers collaborate closely with clients to deploy models into production. This blend of strong product focus, deep research, and hands-on customer engagement is crucial for integrating AI into the enterprise. We are product-driven, research-informed, and actively engaged with our clients.Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have built RL infrastructure at leading organizations like OpenAI and Scale AI, and developed systems at Together, Two Sigma, and Watershed. We proudly serve Fortune 50 clients alongside companies like DoorDash, Mercor, and Cognition. Our work is supported by renowned investors, including Benchmark, Sequoia, and Lux.Who Thrives in Our Environment: We seek individuals eager to apply cutting-edge research and complex systems to tackle real-world challenges. You should be adept at quickly adapting to new environments, whether it’s a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment of customer interactions—listening, empathizing, and understanding how tasks are accomplished within their organizations—is essential. Those with entrepreneurial backgrounds, extensive side projects, or demonstrated end-to-end ownership typically excel in our company.