位于上海市, c23的 20 个优质sales manager, ai & llm职位（正在招聘！）

Senior Applied Scientist, Large Language Models
PATSNAP —上海市
- 全职
16 小时
System Intern
ZF —上海市
- 实习
P10K - Accenture - AI/ML Computational Science Manager
Accenture —上海市
- 全职
Developer Relations Manager, cuOpt and Graph Optimization
NVIDIA —上海市
- 全职
Junior AI Scientist for Materials
Covestro —上海市浦东新区
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Product Owner, Data Sourcing
Dashmote —上海市
- 全职
快速申请
Senior Deep Learning Test Development Engineer, SDET
NVIDIA —上海市
- 全职
AI-First Full-Stack Developer AI全栈开发工程师
TÜV Rheinland —上海市
- 全职
Data Scientist
Sephora —上海市
- 全职
AI Framework Eng.
Advanced Micro Devices, Inc —上海市
EC Sales(Assistant)Manager, Douyin China
Philips —上海市
- 全职
11天
R&D Engineer
B&R Industrial Automation (China) Co., Ltd —上海市
快速申请
System Co-Design Manager
NVIDIA —上海市
- 全职
11天
业务拓展专员, BD Associate
CLO Virtual Fashion —上海市
- 全职
淘宝闪购-AI产品高级专家-商家端
Alibaba —上海市
Software Engineer - ACM Platform & AML Services, IS&T Ai & Data Platforms
Apple —上海市
4天
(高级)地区经理
Novartis —上海市
- 全职
Sales manager for Optical communication and Cloud infrastructure
STMicroelectronics —上海市
Product Manager(eAxle)_ EM
Bosch Group —上海市
- 全职
快速申请
AI Engineer Intern (AI Agent Development & Database)
Aumovio —上海市杨浦区
- 实习
快速申请

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sales manager, ai & llm jobs near 上海市, c23

Senior Applied Scientist, Large Language Models

PATSNAP -
上海市

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职位详情

全职
16 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sales manager, ai & llm个职位

Senior Applied Scientist, Large Language Models

System Intern

P10K - Accenture - AI/ML Computational Science Manager

Developer Relations Manager, cuOpt and Graph Optimization

Junior AI Scientist for Materials

Product Owner, Data Sourcing

Senior Deep Learning Test Development Engineer, SDET

AI-First Full-Stack Developer AI全栈开发工程师

Data Scientist

AI Framework Eng.

EC Sales(Assistant)Manager, Douyin China

R&D Engineer

System Co-Design Manager

业务拓展专员, BD Associate

淘宝闪购-AI产品高级专家-商家端

Software Engineer - ACM Platform & AML Services, IS&T Ai & Data Platforms

(高级)地区经理

Sales manager for Optical communication and Cloud infrastructure

Product Manager(eAxle)_ EM

AI Engineer Intern (AI Agent Development & Database)

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