Join a company working on the technology that allows an LLM prompt to translate into Humanoid Robot manipulation. AI Engineer - Diffusion ModelsLocation: ZurichAll of the founders hold PhDs in Robotics and Simulation with 15+ years experience working at a global technology leader, they already have a working demo and 3 humanoid robots on-site. The team has an abundance of experience in Robotics, Reinforcement learning, Dexterous Manipulation, Diffusion models and they're now searching for experts in VLM/LLMs. Requirements:Strong academic background with a PhD or Master’s in diffusion models, flow matching, or learning-based trajectory generation, including relevant project experience.Technical expertise in Python, PyTorch, and training/fine-tuning diffusion or flow matching models, with experience in deploying these for robotic systems.Practical experience with GPU-based simulation platforms (e.g., Omniverse or Genesis) and solid understanding of modern ML architectures. Robotics experience is NOT needed for this position, we need someone who understands cutting edge generative models - there is already the experience in the team needed to translate this to the world of robotics. If you're interested in bringing your experience to the robotics domain with a fast growing and extremely well backed company then please apply!

Our client is building certifiable Level 4 autonomous driving systems for local public transport—designed and developed in Germany. Their mission is to connect people, no matter where they live, by enabling self-determined and sustainable mobility through cognitive artificial intelligence. Their unique approach, rooted in neuroscience and explainable AI, enables real-time decision-making in complex and unknown traffic scenarios—without relying solely on data from millions of kilometres of driving. As a Scene Understanding Engineer, you will play a vital role in shaping the perception and cognition systems that allow our autonomous driver to interpret and interact with its environment. Responsibilities: • Develop and enhance scene understanding algorithms for complex, real-world environments. • Design and implement modular, explainable systems that integrate sensor data and support perception and localization modules. • Lead small development teams and contribute to overall system architecture and software integration. • Collaborate with cross-functional teams to ensure seamless interaction between perception, planning, and control modules. • Participate in testing and validation of autonomous systems in both simulated and real-world environments, including field testing. • Support the certification process by developing traceable and explainable logic for perception systems. Requirements: • Degree in Robotics, Localization, Sensor Fusion, or a related field. • Strong software development skills with C++ and Python. • Proven experience in leading small engineering teams and managing complex software systems. • Solid understanding of model-based design and modular system architecture. • Experience with robotics or autonomous vehicle platforms in real-world or motorsport environments. • Good grasp of deep learning principles, especially as applied to perception. • Fluent in written and spoken English. • Willingness to travel for testing and collaborative projects. • Familiarity with sensor fusion, object fusion, and localization algorithms is a plus. Note: Some technical experience (e.g., deep learning, motorsport testing, or control systems) may be negotiable depending on your background and ability to learn quickly. Why you should join us: • Work in an intellectually stimulating and innovative environment where you can take full ownership of your projects at every stage of development. • Enjoy flat hierarchies, an open culture, and fast decision-making processes. • Collaborate with a skilled and dedicated team eager to share their knowledge and expertise. • Be part of a multinational workplace that values diversity and integrates different backgrounds and perspectives. • Work in the vibrant heart of Berlin, in the dynamic Kreuzberg district.

Research Scientist – Recommender SystemsJoin a growing cloud technology team focused on solving large-scale machine learning challenges. This role offers the chance to design and develop recommender systems that impact millions of users globally. You’ll be working in a collaborative R&D environment that partners with universities, industry leaders, and global customers to advance real-world applications of AI.What You'll DoDesign and prototype advanced recommender system algorithmsLead end-to-end research projects from ideation to implementationWork with large-scale datasets, building robust data pipelines and modelsPublish in top-tier journals and conferencesMentor junior researchers and shape strategic research directionsCollaborate with academic and industry partners on applied research initiativesWhat We're Looking ForStrong background in machine learning and recommender systemsPhD in Computer Science, Statistics, Mathematics, or a related fieldProven research track record and hands-on development skills (Python, R, C/C++)Experience managing projects in ambiguous or fast-moving environmentsInterest in driving real-world impact through applied research

Senior Robotics Manipulation EngineerSalary: up to £125,000Location: CambridgeThe Companies Long Term Vision: Turn AI Robotics on its head.About Us:Join a business at is at the forefront of AI Robotics, developing cutting-edge solutions to revolutionize the industry. We are building a groundbreaking simulation platform designed for mass-scale simulations of robotic systems. By seamlessly transferring data from CPUs to GPUs without any delay, it will enable significantly faster and more cost-effective robot training.The Challenge:Traditional robot training methods rely heavily on CPUs, resulting in exorbitant costs and lengthy training times. Our goal is to surpass even the performance of leading simulators like Nvidia's, achieving a 100x speed improvement in training. This requires a deep understanding of robotics, control theory, and high-performance computing.As a Senior Robotics Control Engineer, you will:Contribute to the development of both our Robot Simulation Framework and AI Robotic Infrastructure.Develop control algorithms that effectively translate simulated environments to real-world robot behavior.Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods.Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and training processes.Qualifications:Solid understanding of control theory, with a focus on manipulation and locomotion tasks.Proficiency in Python/C++ and deep learning frameworks like PyTorch.Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries.Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a plus.Experience working with physical robots is beneficial.Thrives in a fast-paced, dynamic environment and possesses the ability to contribute to all stages of product development.If you want to join a company that is pushing the boundaries of AI Robotics. Apply today!

Our client is pioneering Level 4 certifiable autonomous driving solutions, tailored for public transport and designed with safety at the core. By leveraging cognitive intelligence and cutting-edge AI based on German research, we create autonomous systems that make logical, explainable decisions in complex road scenarios. Our mission is to enable sustainable, safe, and scalable mobility solutions, ensuring that autonomous technology can connect people everywhere—especially in rural areas and underserved communities. As a Reinforcement Learning Engineer, you'll be instrumental in advancing our unique decision-making framework based on cognitive neuroscience. Your expertise in inference-driven AI, probabilistic modelling, and goal-directed behaviour will help us develop explainable, adaptive systems for autonomous driving. Responsibilities: • Design and implement decision-making architectures based on Active Inference, Bayesian models, and reinforcement learning principles. • Develop generative models and inference-based systems to guide autonomous agents under uncertainty. • Integrate concepts from cognitive robotics, predictive coding, and goal directed behaviour into scalable autonomous driving modules. • Apply and extend the Free Energy Principle and planning-as-inference frameworks for real-world applications in perception and control. • Model and simulate agent-based, hierarchical inference systems to support adaptive, real-time decision-making. • Collaborate cross-functionally with neuroscience-inspired perception, planning, and systems teams to ensure coherence in cognitive modelling. • Analyse and validate behaviour of autonomous systems in both simulation and field test environments. Requirements: • Solid background in reinforcement learning, probabilistic inference, or computational neuroscience. • Experience with Active Inference, Bayesian inference, or hierarchical generative models. • Proficiency in Python (PyTorch, TensorFlow, or JAX), with the ability to implement and train complex inference systems. • Familiarity with decision-making under uncertainty, cognitive architectures, or embodied cognition frameworks. • Strong theoretical foundation in neuro-inspired AI, behavioural modelling, or theoretical neuroscience. • Experience integrating sensorimotor control, action selection, or adaptive control in real-time systems. • Background in robotics, autonomous agents, or AI planning systems is a strong plus. Note: Experience with interdisciplinary AI combining machine learning, neuroscience, and robotics is highly valued, but not strictly required. Why you should join us: • Work in an intellectually stimulating and innovative environment where you can take full ownership of your projects at every stage of development. • Enjoy flat hierarchies, an open culture, and fast decision-making processes. • Collaborate with a skilled and dedicated team eager to share their knowledge and expertise. • Be part of a multinational workplace that values diversity and integrates different backgrounds and perspectives. • Work in the vibrant heart of Berlin, in the dynamic Kreuzberg district