Cached job details from CryptoJobsList. Applications are completed on the original provider website.
Job description
Amber Group is a global leading digital asset company providing crypto financial services to both institutional and high-net-worth investors globally. We offer best-in-class liquidity solutions and cutting-edge trading infrastructure across major exchanges, applications, and networks. With over $1 trillion in cumulative trading volume, our deep liquidity helps power the digital asset ecosystem. Beyond trading, our full-suite of offerings includes wealth management, lending and investing products. But at our core, we focus on building strong relationships and delivering personalized service to help clients navigate this fast-growing industry. At Amber, security is our #1 priority. We have invested years of effort and millions of dollars in cybersecurity, crypto-security, and operational security across the firm, with industry-leading certifications like SOC 2 Type II and ISO 27001. Powered by a 400+ team of traders, technologists and engineers operating 24/7 globally, our technology and research capabilities are world-class. Yet we remain entrepreneurial, always seeking fresh ideas and risks worth taking. We are always interested in people who have an appetite for taking calculated risk, demonstrate a high level of original thinking and intellectual curiosity. What You’ll Work On: 1. Research and analyze frontier AI projects, including technical approaches, data quality, model performance, and real-world feasibility; 2. Participate in PoC validation for real application scenarios, including data processing, model training/fine-tuning, evaluation, and deployment testing; 3. Collaborate with university labs, early-stage startup teams, and industry partners to help move AI technologies from demo to real-world use. What We’re Looking For: 1. Current undergraduate, master’s, or PhD students in Computer Science, AI, Robotics, Automation, Electrical Engineering, Biomedical Engineering, Data Science, or related fields; 2. Hands-on experience with AI projects, ideally covering multiple stages such as data processing, model training, tuning, evaluation, and deployment; 3. More than paper reproduction or benchmark running — we value candidates who have used AI to solve concrete problems; 4. Availability of around 4 days per week for at least 3 months is preferred. Focus Areas: 1. Embodied AI / Robotics: robotic arms, mobile robots, navigation, reinforcement learning, VLA models, Sim2Real, ROS/ROS2, etc.; 2. Healthcare AI: medical imaging, clinical text, healthcare data modeling, multimodal medical data, biosignals, etc.; 3. Edge AI: model compression, quantization, distillation, edge inference, deployment on mobile, IoT, wearables, robots, or smart devices; 4. Multimodal / LLM Applications: VLM/LLM fine-tuning, RAG, Agents, multimodal interaction systems, etc. Nice to Have: Papers, open-source projects, competition experience, startup experience, or active contributions on GitHub / HuggingFace / Kaggle. What You’ll Gain: 1. Exposure to frontier AI research, early-stage startup teams, and real industry scenarios; 2. Hands-on experience across technical evaluation, PoC validation, and applied AI execution; 3. Competitive internship compensation; 4. Opportunities for long-term collaboration, full-time conversion, or participation in incubation projects for outstanding performers. Amber Group opens its doors to the curious problem solver empowered to make an impact in shaping tomorrow. As a hyper-growth company since day 1, we continually invite talent to join our diverse, nimble and digitally-native teams. If this sounds like you, apply now, or get in touch with us today at
