商汤Senior AI Algorithm Scientist
任职要求
• AI-first researcher/developer, highly proficient in leveraging AI tools for experimentation, coding, and rapid iteration. • Experience: 5+ years in AI/ML research or applied algorithm development, with strong production exposure. • Strong foundation in machine learning, deep learning, and statistical modeling. • Proficiency in Python and deep learning frameworks (PyTorch preferred; TensorFlow acceptable). • Hands-on experience with model fine-tuning, transfer learning, prompt engineering, and optimization techn…
工作职责
• Design, fine-tune, and optimize AI models (CV, NLP, multi-modal, or hybrid) to meet real-world performance, latency, and accuracy requirements. • Develop and improve AI Agent algorithms, including reasoning, planning, decision-making, tool-use, and multi-agent collaboration strategies. • Build and maintain a Model Factory approach, enabling standardized model training, fine-tuning, evaluation, versioning, and deployment. • Conduct systematic experimentation on model architectures, hyperparameters, prompt strategies, and fine-tuning techniques. • Collaborate with data engineering teams to define data requirements for training, validation, and continuous model improvement. • Design evaluation frameworks and metrics to measure model and agent performance across accuracy, robustness, efficiency, and business impact. • Optimize inference performance for production environments, including latency, memory usage, and cost efficiency. • Research and apply state-of-the-art techniques in LLMs, foundation models, reinforcement learning, multi-agent systems, and multi-modal learning. • Translate business and product requirements into algorithmic strategies and technical designs. • Document model behavior, limitations, and improvement plans to support long-term maintainability and governance.
The Role We are seeking a student who is passionate about artificial intelligence and algorithms to join our technical team, participate in the design and development of real-world projects, enhance your professional skills, and accumulate valuable practical experience. As an AI Algorithm Engineer, you will collaborate closely with senior algorithm engineers and data scientists, delve into cutting-edge technologies in the field of artificial intelligence, and transform theoretical knowledge into practical abilities through real projects. Responsibilities • Participate in the algorithm design and development of AI-related projects, including but not limited to areas such as deep learning, natural language processing, computer vision, and reinforcement learning. • Build, train, and optimize AI models, and assist the team in completing model evaluation and data analysis. • Read, understand, and write cutting-edge papers in related fields, explore new technologies, and attempt to implement them. • Assist the IT Application team in completing data processing, feature engineering, and other digital tasks. • Learn and master the team's existing code repos and toolchain, and complete the development and optimization of specific modules. • You will collaborate closely with senior algorithm engineers and data scientists, delve into cutting-edge technologies in the field of artificial intelligence, and transform theoretical knowledge into practical abilities through real projects.
The primary responsibilities will include:• Algorithm Development and Enhancement for ranking algorithms in News & Feeds- Work with cross-functional teams to design, develop, and implement recommendation algorithms to deliver product features and drive user engagement.- Optimize existing recommendation algorithms by analyzing performance metrics and user feedback, incorporating advanced machine learning techniques including generative AI techniques. • Innovation in the area of NLP, LLM, and recommender system. • Data Analysis and Modeling- Perform data analysis to identify patterns, trends, and opportunities to improve the relevance and quality of our recommendation systems.- Build systemic solutions and models to optimize user experience.
Design, training/evaluation, development/deployment of advanced models (LLM/MLLM/SLM) for ads content creation, ads performance optimization, and automated customer support. Apply strong problem-solving and data analysis skills to identify opportunities, optimize performance, and deliver measurable business impact.Stay up to date with the latest advancements in generative AI, LLM-driven agent, online advertisement, and make integration and improvement for our systems.Develop scalable and robust algorithms and pipelines for efficient model training, data processing, online serving and measurement.Collaborate with cross-functional teams, such as product managers and Infra/UI engineers, to define strategies and deliver solutions that enhance our systems.Present problems, insights, technical solutions, and results clearly to both technical and non-technical stakeholders.
NVIDIA’s Solution Architect team is looking for a AI-focused Solution Architect with expertise in Large Language Model, generative AI, agentic AI, or recommender system. We work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain constructive collaboration in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. You will be working with the latest AI architecture coupled with the most advanced neural network models, changing the way people interact with technology.As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns. What you’ll be doing: • Assisting field business development in guiding the customer build/extend their GPU infrastructures for AI. • Help customers build their large-scale projects, especially Large Language Model (LLM) projects. • Engage with customers to perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines. • Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations. • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.