位于上海市, c23的 18 个优质data scientist职位（正在招聘！）

Senior Applied Scientist, Large Language Models
PATSNAP —上海市
- 全职
3 小时
Analyst, Healthcare focus(Ph.D preferred)
Guidepoint China —上海市
快速申请
SIMS Analyst 材料分析工程师
Eurofins China —上海市
快速申请
BPA Manager
BioNTech AG —上海市
- 全职
Manager, AI Engineer
AIA —上海市虹口区
- 全职
Analyst, Healthcare Focus(Ph.D preferred)
Guidepoint —上海市
快速申请
Purity Survey Analyst 高纯材料分析工程师
Eurofins China —上海市
快速申请
Procurement Specialist
Evonik Industries AG —上海市
- 全职
2天
Product Install Engineer
KLA —上海市
- 全职
4天
Scientist III
Labcorp —上海市浦东新区
20 小时
多智能体优化调度研究科学家_CR
Bosch Group —上海市
快速申请
Medical Director (CVM)
Roche —上海市
PCS Systems Engineer
Corning —上海市
PX Feedstock Supply Specialist
INEOS Styrolution America LLC —上海市
23 小时
Senior Scientist II
Labcorp —上海市浦东新区
3天
Senior Manager-AI Algorithm
AstraZeneca —上海市
1天
Lab Technician-PSA/RLC
Momentive Performance Materials —上海市浦东新区
快速申请
CRCC Intern_Inorganic
Corning —上海市浦东新区
- 实习
4天

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Analyst, Healthcare focus(Ph.D preferred)
Guidepoint China —上海市
Candidates with Ph.D. degree are preferred. Guidepoint Insight is seeking an Equity Analyst to support the expansion of our research coverage of China biotech,…
快速申请
Analyst, Healthcare Focus(Ph.D preferred)
Guidepoint —上海市
Candidates with Ph.D. degree are preferred. Guidepoint Insight is seeking an Equity Analyst to support the expansion of our research coverage of China biotech,…
快速申请

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Senior Applied Scientist, Large Language Models

PATSNAP -
上海市

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职位详情

全职
3 小时前

完整职位描述

We are looking for a Senior Applied Scientist to develop advanced large language model capabilities for complex, knowledge-intensive applications.

You will work across applied research, model development, evaluation, and product implementation. The role requires both strong algorithmic foundations and the ability to translate emerging AI technologies into reliable, scalable product capabilities.

You will collaborate closely with engineering, product, data, and domain teams to identify high-value algorithmic problems and drive solutions from experimentation to production.

Key Responsibilities

Research and develop large language model capabilities for real-world applications.
Improve model performance in areas such as reasoning, long-context understanding, information extraction, retrieval-augmented generation, and domain adaptation.
Design and implement model post-training approaches, including supervised fine-tuning, preference optimization, knowledge distillation, and synthetic data generation.
Develop systematic evaluation methodologies covering accuracy, factuality, robustness, safety, latency, and cost.
Build scalable data preparation, model experimentation, and evaluation pipelines.
Analyse model failure cases and identify effective approaches for continuous improvement.
Explore emerging research and assess its practical value in production environments.
Work with engineering teams to deploy and optimize models and AI capabilities in production.
Collaborate with product managers and domain experts to translate business requirements into algorithmic solutions.
Contribute to technical standards, best practices, and the longer-term development of the AI technology roadmap.
Provide technical guidance and support to other algorithm engineers and researchers.

Qualifications

Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related discipline, or equivalent practical experience.
Strong experience in machine learning, natural language processing, or applied AI.
Hands-on experience developing or adapting large language models.
Strong understanding of Transformer architectures, model training, fine-tuning, and inference.
Practical experience in at least two of the following areas:
- LLM post-training and alignment
- Model evaluation and benchmarking
- Retrieval-augmented generation
- Long-context modelling
- Information extraction
- Complex reasoning and planning
- Model compression or inference optimization
Strong proficiency in Python and deep learning frameworks such as PyTorch.
Ability to independently define algorithmic problems, design experiments, analyse results, and deliver production-ready solutions.
Strong communication and cross-functional collaboration skills.

Preferred Qualifications

Experience developing AI solutions for enterprise, scientific, technical, or other knowledge-intensive applications.
Experience with distributed training, large-scale inference, or GPU optimization.
Experience building automated evaluation systems, data flywheels, or human-feedback pipelines.
Experience with multimodal models, AI agents, or tool-augmented language models.
Publications in reputable AI, machine learning, or NLP conferences, or meaningful open-source contributions.

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在上海市, c23的data scientist个职位

Senior Applied Scientist, Large Language Models

Analyst, Healthcare focus(Ph.D preferred)

SIMS Analyst 材料分析工程师

BPA Manager

Manager, AI Engineer

Analyst, Healthcare Focus(Ph.D preferred)

Purity Survey Analyst 高纯材料分析工程师

Procurement Specialist

Product Install Engineer

Scientist III

多智能体优化调度研究科学家_CR

Medical Director (CVM)

PCS Systems Engineer

PX Feedstock Supply Specialist

Senior Scientist II

Senior Manager-AI Algorithm

Lab Technician-PSA/RLC

CRCC Intern_Inorganic

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