Software Engineer for Cutting-Edge Autonomous Systems

Join Our Innovative Team at Humble RoboticsAt Humble Robotics, you’ll be at the forefront of a revolutionary shift in ground transportation. We are developing an autonomous, zero-emissions hauler that significantly reduces freight costs through advanced vision-based AI systems, tailored for the demands of the modern global logistics network.Our dynamic team comprises seasoned professionals from the autonomous vehicle industry, alongside creative thinkers who are passionate about innovation. We understand that culture is organic rather than manufactured; when it aligns, it creates an extraordinary experience that transforms work into adventure.Experience progress like never before.

Join Our Team at Humble RoboticsAt Humble Robotics, we are at the forefront of revolutionizing ground transportation. Our mission is to develop an autonomous, zero-emissions hauler that significantly reduces freight costs through innovative vision-based AI, tailored for the modern global logistics landscape.We pride ourselves on being a dynamic, closely-knit team comprised of seasoned professionals from the AV industry and forward-thinking innovators. We believe that culture is not something to be engineered, but when it aligns, it creates an unforgettable adventure.Experience progress like never before.

Join the Future of TransportationAt Humble Robotics, you will be at the forefront of revolutionizing ground transportation with our innovative autonomous, zero-emissions hauler. Our mission is to significantly reduce freight costs using cutting-edge vision-based AI technology, tailored for the modern global logistics landscape.We pride ourselves on being a dynamic team comprised of industry veterans and forward-thinking innovators. We understand that a thriving culture can't be engineered, but when it aligns, it creates an extraordinary journey.Experience progress like never before.

About Humble RoboticsJoin Humble Robotics and be a part of a transformative journey in ground transportation. We are at the forefront of developing an autonomous, zero-emissions hauler that revolutionizes freight costs through cutting-edge vision-based artificial intelligence, tailored for the modern global logistics network. As a dynamic and agile team composed of seasoned AV industry experts and forward-thinking innovators, we cherish a culture that's organically cultivated. When it aligns perfectly, it becomes an extraordinary adventure. Experience the immediacy of progress like never before. Position OverviewTake charge of the design, integration, and preliminary validation of novel mechanical hardware for our large-scale autonomous vehicles.

Join Our Team at Humble RoboticsAt Humble Robotics, we are at the forefront of revolutionizing ground transportation. Our mission is to create an autonomous, zero-emissions hauler that significantly reduces freight costs through innovative vision-based AI, tailored for today's dynamic global logistics network.As part of a fast-paced, collaborative team comprised of industry veterans and creative minds, you will experience a culture that thrives on innovation and teamwork. We believe that while culture cannot be engineered, when it aligns, it creates an extraordinary journey.Be part of the progress!

Join Us at Humble RoboticsAt Humble Robotics, we are pioneers in revolutionizing ground transportation with our innovative autonomous, zero-emissions hauler. Our cutting-edge vision-based AI technology is designed to optimize global logistics networks and significantly reduce freight costs.As part of our dynamic and passionate team, you will work alongside industry veterans and creative thinkers. We believe that while culture cannot be engineered, when it aligns, it creates an extraordinary journey.Experience the thrill of progress like never before. Role OverviewAs a Senior Hardware Validation Engineer, you will lead the design verification (DV) process for our autonomous hauler from start to finish. Your responsibilities will include defining vehicle-level DV requirements and translating them into specific requirements for each module, ensuring compliance with thermal, shock, vibration, EMC, environmental, and electrical stress standards. You will determine whether to conduct tests at external laboratories or develop in-house hardware-in-the-loop (HIL) and environmental test setups, guaranteeing that every component we deliver meets the rigorous DV standards derived from the vehicle.

About Humble RoboticsAt Humble Robotics, we're spearheading a revolutionary transformation in ground transportation. Our mission is to develop an autonomous, zero-emissions hauler that significantly reduces freight costs through cutting-edge vision-based AI, tailored for the modern global logistics framework. Join our dynamic team of seasoned AV industry experts and creative innovators. We believe that while company culture can't be manufactured, when it aligns perfectly, it offers an extraordinary journey. Experience the thrill of progress like never before. Position OverviewTake ownership of the electrical design for next-generation hardware modules, including architecture, schematic design, layout, prototype development, validation, and transition to robust hardware production.

About Humble RoboticsJoin us at Humble Robotics, where we're driving a revolutionary shift in ground transportation. Our mission is to develop an autonomous, zero-emissions hauler that significantly reduces freight costs through cutting-edge vision-based AI, tailored for the modern global logistics landscape. As part of our dynamic and tight-knit team of AV industry experts and visionary innovators, you’ll experience a unique culture that fosters collaboration and adventure. Be part of a journey where progress is palpable. Position OverviewAs a Senior R&D Technician, you will be instrumental in designing and refining vehicle harnesses (both LV/HV and data). Your responsibilities will also include performing PCB rework and providing board bring-up support, in addition to assembling and maintaining test benches for sensors, computing systems, power supplies, and vehicle interfaces.

The Bot CompanyAt The Bot Company, we are on a mission to create an innovative robotic assistant for every household.Our dynamic team, composed of talented engineers, designers, and operators, is based in San Francisco. We have a rich background from industry leaders such as Tesla, Cruise, OpenAI, Google, and Pixar, and we have successfully delivered products to hundreds of millions of users, honing our ability to create exceptional products and experiences.We pride ourselves on maintaining a streamlined team structure that fosters swift decision-making and minimizes bureaucracy. Each member is considered an Individual Contributor, granted substantial autonomy, ownership, and accountability. Our culture enables us to work across the technology stack with an emphasis on rapid iteration and execution.What We Seek in CandidatesCandidates for all positions at The Bot Company must exhibit remarkable sharpness and the capacity to thrive in high-pressure environments. We expect candidates to showcase:Exceptional Cognitive Abilities: You possess quick thinking, instant learning capabilities, and the ability to reason across diverse domains.Engineering Curiosity: You demonstrate an innate desire to understand how systems function, even beyond your area of expertise.Performance-Driven Attitude: You excel in fast-paced settings, effectively navigate ambiguity, and thrive under demanding circumstances.Machine Learning: Multimodal Foundation ModelsWe are developing unified foundation models capable of reasoning across text, images, video, and kinematics to inform intelligent robotic behaviors.You will engage with large-scale multimodal networks, overseeing the complete process from data handling to model training and deployment.Your ResponsibilitiesConstruct Native Multimodal Policies: Create architectures where vision, language, and other modalities are represented in a unified manner.Enhance Cross-Modal Reasoning: Explore and implement strategies to ensure that the model not only correlates modalities but also comprehends them (e.g., linking visual physics to kinematic constraints).Manage the Training Loop from Start to Finish: Design, execute, troubleshoot, and refine large-scale training experiments; identify failure points, enhance data mixtures, and tighten evaluations to achieve measurable improvements.Deploy and Refine Real Systems: Integrate models into practical robotic frameworks, enhance robot code for model deployment, and optimize performance for edge inference.

Join Prima MenteAt Prima Mente, we are pioneers in the field of biology-focused artificial intelligence. Our mission is to generate unique datasets, develop versatile biological foundation models, and translate scientific breakthroughs into real-world clinical applications. Our primary focus is on understanding the brain in-depth, safeguarding it from neurological disorders, and enhancing its function during health. Our dynamic team of AI researchers, experimentalists, clinicians, and operational experts are strategically located in London, San Francisco, and Dubai.Your Role: Foundation Models for BiologyAs a Machine Learning Engineer, you will be instrumental in the design, implementation, and scaling of foundational AI models and infrastructure for multi-omics at an unprecedented scale. Your contributions will facilitate significant advancements in scientific comprehension and lead to groundbreaking applications in the medical and biological fields.Key Responsibilities:Develop high-performance machine learning algorithms optimized for large-scale applications, ensuring utmost reliability and efficiency.Design, implement, and maintain comprehensive experimentation pipelines that allow for rapid iterations, precise assessments, and reproducible research results.Refactor and enhance prototype research code into clean, maintainable, and efficient repositories prepared for production-level deployments.Create fast data processing workflows that can effectively manage extensive datasets to expedite research and model development.Engage in experimental design, with a focus on high-impact experiments that yield the greatest signal-to-noise ratio.Growth ExpectationsIn 1 month, you will initiate initial experiments utilizing state-of-the-art machine learning models, review and apply advanced research papers, and enhance existing code for improved efficiency and precision.By 3 months, you will take ownership of a prototype model architecture, showcasing notable algorithmic enhancements, and contribute to methods for large-scale data ingestion and training.Within 6 months, you will have significantly impacted the implementation of a high-performance foundation model, incorporating key algorithmic optimizations that improve scalability and throughput, along with publishing internal benchmarks that demonstrate substantial effects.

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.

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.

About the OpportunityAt Unity, we are dedicated to fostering a culture of collaboration and innovation. Our dynamic environment allows us to tackle intricate challenges that create significant value for creators and users within our ecosystem.The Vector team is at the forefront of this mission, creating cutting-edge conversion rate (CVR) prediction and market price models that enhance our ad ranking and recommendation systems. These models enable advertisers to engage the right users at optimal moments by accurately assessing engagement and conversion probabilities. By harnessing extensive behavioral data, creative features, and contextual signals, we continually refine our predictions’ relevance and accuracy. This leads to crucial outcomes such as increased user engagement, improved conversion rates, and a better return on ad spend—empowering advertisers to meet their objectives while enhancing user experience.We are on the lookout for an experienced Senior Machine Learning Engineer to spearhead advanced bidding optimization systems that facilitate efficient budget management, goal-driven automated strategies, ongoing enhancements through experimentation, and sustainable growth for Unity Ads.

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.

Join our innovative team at Osaro as a Machine Learning Engineer, where you will contribute to advancing the intelligence and capabilities of our robotic systems. Our cutting-edge products integrate advanced perception algorithms with adaptive decision-making and meticulous control strategies, empowering industrial robots to operate autonomously and efficiently across diverse applications.In this role, you will collaborate closely with our robotics, deployment, and sales teams to identify client requirements and design tailored machine learning solutions. You'll be responsible for monitoring, training, and validating the performance of our deep learning models, ensuring they meet our quality standards.We seek individuals who are not only passionate about their work but also take ownership of their projects and enjoy tackling new challenges. The ideal candidate is one who values teamwork and embodies integrity and directness in their communication.

Join Us as Our First Marketing LeadFoundation is on the lookout for our inaugural marketing leader to propel our vision of revolutionizing homebuilding and enhancing the journey of buying, selling, and owning a home.About FoundationWith approximately $6.8M in backing from top-tier venture capitalists, including Y Combinator, Foundation is composed of a dynamic team formerly from Opendoor, dedicated to reshaping the future of residential real estate.Our flagship product is a cutting-edge customer experience platform designed specifically for homebuilders—think of it as the "Shopify for Homebuilders." We collaborate with large-scale homebuilders to deliver a modern digital experience, significantly boosting customer satisfaction and team productivity. In just two years, we've achieved remarkable product-market fit and impressive growth, all without a dedicated marketing team.Our Growth JourneyWe are currently navigating the first of three interconnected growth phases:AI-Driven SaaS for Homebuilding: A transformative opportunity with public-scale potential.Real Estate Enterprise Ecosystem: Homebuilders drive this ecosystem, which fosters collaboration among adjacent trillion-dollar sectors such as lending, title, home insurance, and retail.AI Native Home Operating System: This will enable seamless home buying and ownership through our platform.Your Role as Our First MarketerWe seek a hands-on, results-driven marketer passionate about transforming a key sector of the U.S. economy and redefining marketing in the age of AI.Key ResponsibilitiesYou will be pivotal in steering Foundation's next growth phases by integrating AI with marketing and real estate innovation. Your primary objectives will include:Accelerating Growth: Drive rapid expansion of our core AI-driven product line for homebuilders.

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.

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 UsAt Preference Model, we are revolutionizing the future of AI by developing the next generation of training data. While current models demonstrate great power, their effectiveness is limited in diverse applications due to many tasks being out of distribution. We create reinforcement learning environments where models can face real-world research and engineering challenges, allowing them to iterate and learn via realistic feedback loops.Our founding team, hailing from Anthropic's data team, has a rich background in building data infrastructure, tokenizers, and datasets that power Claude. We collaborate with leading AI labs to accelerate AI’s transformative potential and are proudly backed by a16z.About the RoleWe are looking for skilled Machine Learning Engineers to join our efforts in constructing distributed training infrastructure for our reinforcement learning initiatives. Your responsibilities will include:Designing and implementing scalable distributed training infrastructure utilizing PyTorch and Ray.Developing automation tools for monitoring, debugging, and recovery in distributed training environments.Ensuring the reliability, security, and performance of infrastructure to meet the high demands of large-scale machine learning workloads.About YouWe seek individuals with the following qualifications and traits:Required Technical Skills:Experience in building and managing ML infrastructure at scale.Expertise in PyTorch and distributed training paradigms.Hands-on experience with Ray.Familiarity with at least one modern RL training framework such as verl, NeMo-RL, ART, Atropos, or similar.Proficiency in Python and systems programming.Experience with container orchestration tools (Kubernetes), and infrastructure as code methodologies (Terraform).What Makes You Successful:Strong systems thinking with an ability to design for scalability.Exceptional debugging skills across the entire technology stack.A collaborative mindset and strong communication skills to effectively liaise with researchers and engineers.Self-motivated and capable of solving problems independently while taking ownership of projects.