Multiverse jobs

Director, Capacity Planning & Operations London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. Why This Role Exists Multiverse is evolving from a services-led organisation into an AI-first, platform-led workforce transformation company. Our 200+ coaches are the mechanism through which learning translates into measurable business outcomes. To scale to $1bn+ in bookings, the system that deploys those coaches against variable demand must be as disciplined as the coaching itself. Today, workforce management, capacity planning, and allocations operate through manual processes, fragmented data, and institutional knowledge. The function works, but it does not scale. This role exists to build the supply engine that fuels

Senior Software Engineer - Sync Learning & Impact London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Role It's an incredible time to join the Engineering team at Multiverse, the UK's first edtech unicorn, as we equip the workforce to win in an AI era. You have a real opportunity to impact the lives of 1,000s of people. Within the Sync Learning and Impact squad, we are the architects of human connection. We own the critical domains of coach-to-learner and coach-to-manager interactions. We don't just build features; we build the engine that drives learner retention and proves the ROI of modern apprenticeship

Senior Software Engineer - AI Adoption Product London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Mission & The Squad Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Having built a thriving apprenticeship business, we are now doubling down on our AI strategy with the launch of a groundbreaking AI Adoption Platform . You will join the Adoption AI Team , a small foundational squad operating as a "startup" within Multiverse. We are building a category-defining product from scratch, leveraging our massive existing

Director, Delivery Operations - Learner Acquisition London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. Role Overview Multiverse is building the AI-first workforce transformation platform that connects learning to career outcomes at scale. As we grow toward $1bn+ in bookings and accelerate our product evolution, the learner acquisition journey - from first contact through onboarding and programme start - is becoming one of the most strategically important functions in the company. Getting learners qualified, matched, and onboarded with speed and quality is where booked revenue becomes realised revenue, and we are investing in senior operational leadership to build a world-class fulfilment engine that

Equity & Company Secretarial Specialist (Part-time) London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. You will be the subject-matter expert on employee equity at Multiverse - designing and continuously improving the administration of our equity programmes. You will own the day-to-day administration of Multiverse's employee equity programmes and lead and own company secretarial compliance across the group, applying sound judgment to identify and manage legal and regulatory risk. You will work closely with the General Counsel and broader Legal team, as well as with Finance, People, and external advisers. This is an experienced specialist role requiring someone who exercises sound judgment, operates

Senior Manager, Mid-Market Customer Value Partners London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity: The Mid-Market segment is the engine of Multiverse's scale. We're looking for a Senior Manager to be the Architect of Scaled Excellence - and the leader who builds the team capable of delivering it. You will lead a team of senior Customer Value Partners (P5 Specialists), accountable for the post-sale relationship, retention, and growth of the largest volume of our customer base. The role is two-sided: you will design the systems, playbooks, and AI-enabled workflows that let CVPs manage significant portfolios without sacrificing quality, AND you

Strategic Account Executive, UK London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity A big part of achieving our £1.7Bn valuation was scaling our world-class Go-to-market team. We are just getting started, and are looking for exceptional sales individuals to help drive continued growth in the UK. We are expanding our Strategic Accounts team to accelerate growth across our largest and most complex customers and accounts Once here, you will: - Own some of our most important enterprise relationships. You'll focus on multi-million-pound, multi-stakeholder accounts where strategic influence and long-term value creation are essential. - Work to drive new opportunities in

Compliance Assurance Manager London, England, UK Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. Role Purpose Your mission is to master the art of the "Mock Audit." You'll operate as a high-level internal consultant, deploying deep-dive scrutiny and advanced data analytics to safeguard our funding. In this role, you aren't just checking boxes - you're a technical architect ensuring that every pound of funding is defended through world-class data integrity and relentless rigour. Key Responsibilities - Funding Scrutiny: Execute a continuous schedule of funding scrutiny, including reporting findings to our Chief Finance Officer and Regulatory Affairs leadership. - Department Auditing: Conduct targeted audits on specific

Software Engineer, Multiverse San Francisco, CA, USA; Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Multiverse team at Waymo is responsible for the end-to-end evaluation of our autonomous driving software. We don't just look at what happened; we look at what could have happened. Using a mix of real-world testing and counterfactual simulation, we stress-test the Waymo Driver's safety and reliability before it ever hits the road. Join us in the Driver Understanding and Evaluation (DUE) group to develop the rich metrics that define the future of autonomous mobility. You will: - Build the infrastructure to administer a “virtual driver's test” for the Waymo Driver. Design, implement, and operate scalable simulation data pipelines and/or real world monitoring in order to evaluate the driving capability of the Waymo Driver, and at low latency in the real world. - Improve the signal quality provided

Sr Software Dev Engineer WOTC State/Province/Region Quebec | City/Town Montréal Step Into the Multiverse: Your Next Adventure Starts Here At Wizards of the Coast , we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering® , the rich storytelling of Dungeons & Dragons® , or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure. Step Into the Multiverse: Your Next Adventure Starts Here At Wizards of the Coast , we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering® , the rich storytelling of Dungeons & Dragons® , or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure. What You'll Do: Expand our ability to develop and

Research Engineer, Universes Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Universes team within Research is responsible for training AI models to perform complex, difficult, long-horizon agentic tasks in ultra-realistic settings. We design and implement novel training environments that go far beyond what models can do today - environments where models learn to navigate ambiguity, handle interruptions, maintain context over extended interactions, and exercise judgment in open-ended scenarios. About the Role We're looking for Research Engineers to help us build the next generation of training environments for capable and safe agentic AI. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to research direction. You'll work on fundamental research in reinforcement learning, designing training environments and methodologies that push the state of the art, and building evaluations that measure genuine capability. Responsibilities: - Build the next generation of agentic environments - Build rigorous evaluations that measure real capability - Collaborate across research and infrastructure teams to ship environments into production training - Debug and iterate rapidly across research and production ML stacks - Contribute to research culture through technical discussions

AI Creative Designer Remote

Research Scientist Intern, Photorealistic Telepresence (PhD) Sausalito, CA; Pittsburgh, PA; Redmond, WA Meta's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started. Our org, XR Codec Interactions and Avatar, is looking for exceptional research interns to help us create a revolution in AR and VR: achieving true photorealistic telepresence, where you can be with anyone, anywhere, at any time. We have made numerous important advances, and it will take a diverse team with a wide spectrum of skills to accomplish this future. If you have expertise in Artificial Intelligence, Computer Vision, or Computer Graphics, we expect you will find the work here highly intriguing. We regularly publish our work at leading conferences and journals. Come join us as we make photorealistic telepresence and autonomous social agents in VR happen! Available projects may include, but are not limited to: Generative AI models for image and video synthesis Motion

Senior Software Engineer - Multiverse Mountain View, CA, USA; San Francisco, CA, USA; New York, NY, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Our mission within the Driver Understanding and Evaluation (DUE) team at Waymo is to develop rich metrics for understanding the behavior of the Waymo Driver in the real world. In this hybrid role, you will report to a Software Engineering Manager. You will: - Build the infrastructure to administer a "virtual driver's test" for the Waymo Driver. Design, implement, and operate scalable simulation data pipelines to evaluate the driving capability of the Waymo Driver. - Improve the signal quality provided by the "virtual driver's test". Improve the quality of individual simulations and that of the overarching simulation workflows. Try to answer whether the results of the "virtual driver's test" are predictive of the Waymo Driver's real-world driving behavior. - Apply ML models

NVIDIA Omniverse Engineer – Digital Twin & Simulation (Industry X) Location not specified posted: Posted 30+ Days Ago

Staff Software Engineer, Multiverse San Francisco, CA, USA; Mountain View, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. As the Tech Lead for the software-fault release evaluation team, lead the development of the end-to-end system that administers a simulation-based “virtual driver's test” for the Waymo Driver to discover lingering software faults, e.g. “divide-by-0” or “out-of-memory”, that would affect the Waymo Driver's system reliability in the real world. You Will: - Oversee and contribute to ongoing operations and administration of the “virtual driver's test” to support Waymo's software deployment schedule. - Make strategic investments to measure and improve the signal quality provided by the “virtual driver's test”. Work with partner engineering and data science teams to answer whether the results of the “virtual driver's test” are predictive of the Waymo Driver's real-world driving behavior. - Align the overall system design for your fault-discovery system with the

Software Development Engineer II, Amazon DocumentDB Seattle, Washington, USA Our team develops Amazon DocumentDB (with MongoDB compatibility), a fully-managed cloud database that enables customers to persist and retrieve JSON documents. We are developing new query capabilities, pushing the bounds of performance, driving distributed systems innovation in scalability and high availability, and investing in user experience. As a engineer on the team, you will collaborate with colleagues on research, prototyping, software design, and implementation. Our technical problems span all aspects of database systems - multiversion concurrency control (MVCC), transactions, query optimization, data storage, indexing, parallel computation, wire protocol translation/compilation - as well as distributed systems, telemetry, build and deployment technology, and API and UI design. You may choose to focus on an area, work across areas, or rotate over time. You will have the opportunity to interact with customers and to work with product managers to define product improvements. You will solve hard problems, grow your skills, and mentor others along the way. If you are excited by the prospect of making it easier for customers to store, query, and analyze data at scale; if you are interested in databases, operating systems, distributed systems, and/or developer tools; and if you are looking to work with teammates to propose ideas, experiment, learn, and build great software - we would love to hear from you. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates

Sr. Researcher - Multimodal AI Sydney,Australia

Senior Software Development Engineer Renton, Washington, United States; United States We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Step Into the Multiverse: Your Next Adventure Starts Here At Wizards of the Coast, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering®, the rich storytelling of Dungeons & Dragons®, or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure. The Central Technology group at Wizards of the Coast is responsible for building shared services for our digital games and other digital products to allow our partners to focus on the development that makes their product unique. Central Technology owns systems that provide accounts, entitlements, social, and telemetry capabilities to our partners. Location: This role is based in our Montreal, QC

Multimodal Generative AI Researcher Remote Multimodal Generative AI Researcher Location: Remote About the Role We're looking for a Research Scientist with deep expertise in training and fine-tuning large Vision-Language and Language Models (VLMs / LLMs) for downstream multimodal tasks. You'll help push the next frontier of models that reason across vision, language, and 3D , bridging research breakthroughs with scalable engineering. What You'll Do - Design and fine-tune large-scale VLMs / LLMs - and hybrid architectures - for tasks such as visual reasoning, retrieval, 3D understanding, and embodied interaction. - Build robust, efficient training and evaluation pipelines (data curation, distributed training, mixed precision, scalable fine-tuning). - Conduct in-depth analysis of model performance: ablations, bias / robustness checks, and generalisation studies. - Collaborate across research, engineering, and 3D / graphics teams to bring models from prototype to production. - Publish impactful research and help establish best practices for multimodal model adaptation. What You Bring - PhD (or equivalent experience) in Machine Learning, Computer Vision, NLP, Robotics, or Computer Graphics. - Proven track record in fine-tuning or training large-scale VLMs / LLMs for real-world downstream tasks. - Strong engineering mindset - you can design, debug, and scale training systems end-to-end. - Deep understanding of multimodal alignment and representation learning (vision-language fusion, CLIP-style pre-training, retrieval-augmented generation). - Familiarity with recent trends, including video-language and long-context VLMs , spatio-temporal grounding , agentic multimodal reasoning , and Mixture-of-Experts (MoE) fine-tuning. - Awareness of 3D-aware multimodal models - using NeRFs, Gaussian splatting, or differentiable renderers for

Software Development Engineer II, Amazon DocumentDB Seattle, Washington, USA Join us to advance the state-of-the art in database technology and serve customers all around the world. If you are excited by the prospect of making it easier for customers to store, query, and analyze data at scale; if you are interested in databases, operating systems, distributed systems, and/or developer tools; and if you are looking to work with teammates to propose ideas, experiment, learn, and build great software - we would love to hear from you. Key job responsibilities As a engineer on the team, you will collaborate with colleagues on research, prototyping, software design, and implementation. Our technical problems span all aspects of database systems - multiversion concurrency control (MVCC), transactions, query optimization, data storage, indexing, parallel computation, wire protocol translation/compilation - as well as distributed systems, telemetry, build and deployment technology, and API and UI design. You may choose to focus on an area, work across areas, or rotate over time. You will have the opportunity to interact with customers and to work with product managers to define product improvements. You will solve hard problems, grow your skills, and mentor others along the way. About the team Our team develops Amazon DocumentDB (with MongoDB compatibility), a fully-managed cloud database that enables customers to persist JSON documents and retrieve them with a powerful query language. We are developing new query capabilities, pushing the bounds of performance, driving distributed systems innovation in scalability and high availability, and investing in user

Research Engineer (Scaling Multimodal Data) San Francisco About World Labs: We build foundational world models that can perceive, generate, reason, and interact with the 3D world - unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds. We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology - from AI research to systems engineering to product design - creating a tight feedback loop between our cutting-edge research and products that empower our users. About the Role: We're looking for a research engineer to help improve our in-house world models through better multimodal data. This role is about figuring out what data actually moves model quality - then building the datasets, pipelines, and experiments to prove it. The best generative models aren't just a product of model architecture and compute, they are a product of the training data. The model output reflects someone's obsession over what goes into the data, how it's processed, and what gets thrown away. We're looking for the person who does the obsessing and builds the tools to act on it at scale. This isn't a role where someone hands you a dataset and asks you to clean it. You will decide what data we need, figure out where to get it, build the processing and curation systems, and

Research Scientist – World Models, Robotics & Embodied AI London, UK Meta Reality Labs Research (RL Research) brings together a team of researchers and engineers with the shared goal of developing AI, Robotics, and AR/VR technology across the spectrum. The Surreal Spatial AI group is seeking Research Scientists to build machine perception, 3D generative systems, and control technology allowing robotic agents and AI systems to perceive, understand, reason about, and interact with the world around them. In this role, you will develop algorithms for predictive world modeling, active perception, and robotic interaction. You will investigate architectures that position multi-modal Generative World Models at the core of machine perception and data-driven robotic control for real-world autonomous applications. Leveraging modalities available from egocentric devices and physical robotic platforms, your work will span the full stack, translating foundational world models into action in the physical world. Responsibilities: - Drive fundamental and applied research at the intersection of multi-modal generative AI, predictive world modeling, embodied reasoning, and robotic manipulation - Investigate or invent architectures that deliver a spectrum of embodied behaviors from simulated environments to real robots, and from tactile-driven motor control to high-level, long-horizon intelligence - Design research methodologies and lead empirical evaluations, authoring well-tested code for physical hardware and simulators - Build prototype systems that drive multi-step, long-horizon robotic perception, reasoning, and action - Contribute to and lead high-impact publications and open-sourcing efforts - Identify long-term research goals while executing intermediate milestones - Collaborate with a wide-ranging set of scientists and engineers

AI/ML Scientist, Planetary Science Long Beach, California At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known. Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us. About the Team: The Interplanetary Sciences Program was established to expand access to scientific exploration across our Solar System, with the mission to push the boundaries of how planetary science is done, and make planetary research faster, more affordable, and more capable than ever