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.
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. As an Applied Scientist, you will - Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges - Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production - Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization - Provide customer and market feedback to product and engineering teams to help define product direction