About this role.
This Member of Technical Staff role develops advanced robotics capabilities at the intersection of world models, 3D/4D scene representation, simulation, perception, and real-world robotic control. The hire will collaborate with machine-learning researchers, hardware teams, and external partners to create training and simulation foundations for embodied AI. Core work includes improving sim-to-real reliability, enabling robotics planning and decision-making, and building persistent temporally consistent environmental representations. The position requires strong robotics or computer-vision experience, practical work with robotic systems or simulators, and production-quality Python or C++ programming. It is a high-impact research-engineering role based in or relocating to London, with remote work indicated within the UK.
Role DNA
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Job Complexity
5/5Pace & Pressure
4/5Autonomy Level
4/5Communication Load
4/5Salary analysis
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Core skills
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Sample interview questions
A strong answer should explain the simulated environment, sensing and dynamics assumptions, transfer gaps found during deployment, and the calibration, domain randomization, system-identification, or validation methods used to improve real-world performance. It should quantify outcomes such as task success, latency, robustness, or safety improvements.
I would combine calibrated multi-sensor observations with a temporally consistent spatial representation, such as a neural scene representation, occupancy model, or object-centric map. The design would explicitly manage pose uncertainty, dynamic objects, memory updates, occlusion, and efficient querying by downstream planning and control systems.
I would use Python for rapid research iteration, model training, experiment orchestration, and ecosystem access, while using C++ for latency-sensitive perception, control, sensor integration, and production runtime components. Clear interfaces, profiling, testing, and reproducible data pipelines are essential to avoid creating a fragmented stack.
World models can predict plausible future states and action consequences, allowing an agent to evaluate plans before executing them. I would use them with uncertainty-aware planning, safety constraints, and feedback from real observations so the robot can adapt when predictions diverge from the environment.
A strong answer should show how the candidate translated research requirements into measurable system constraints, established shared diagnostics and ownership, and used experiments to isolate issues across software, sensors, mechanics, or compute. It should emphasize clear communication, iteration cadence, and a concrete delivered improvement.
We are an AI research lab building foundational intelligence for the physical world.
Our models are designed to solve complex real-world challenges, powering everything from intelligent robots to next-generation wearables and media.
We work at the intersection of world models, video generation, and robotics, building systems that represent complex environments, reason about objects and dynamics, and translate high-level AI intentions into smooth, efficient, safe, and responsive actions across a variety of robotic embodiments.
You will collaborate closely with ML researchers developing multimodal world models and generative systems, and with hardware teams and partners to ensure robotic platforms, sensing, and system dynamics behave optimally in real-world operation.
What You’ll Do
Build the Foundation: Collaborate with our world model team to build state-of-the-art training and simulation platform for robotics.
Build the “World”: Develop persistent 3D/4D scene representations that maintain temporal consistency.
Drive Intelligence: Unlock advanced robotics planning and decision making through our in-house, cutting-edge world models.
Sim2Real: Ensure sensing and system dynamics perform reliably in high-stakes, real-world operations, where models think, simulate, and act.
Push Boundaries: Partner with top ML researchers to innovate on generative models and physical AGI.
Areas of Interest
We are particularly excited about candidates working on topics such as:
World models for embodied systems
3D / 4D generative models
Robotics manipulation
Embodied AI
Multimodal AI
What We’re Looking For
Background in robotics, or computer vision
Experience with 3D perception, scene representations, or world models
Experience working with robotic systems, simulation, or real-world platforms
Strong programming skills (Python, C++, or similar)
Located in London or willing to relocate to London, UK
Ability to work across machine learning, perception, and robotics
Reka’s Mission
Reka’s mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
Why Reka?
An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
Visa Support: We provide visa assistance for UK employees to ensure a smooth transition and support your career with us.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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