位于上海市的 19 个优质llm engineer职位（正在招聘！）

Asset Management - AI Quant Analyst - Artificial Intelligence & Machine Learning Focus
JPMorganChase —上海市
- 全职
Developer Technology Engineer, AI
NVIDIA —上海市
- 全职
Deep Learning Compiler CI/Infrastructure Engineer
NVIDIA —上海市
- 全职
AI Computing Software Development Engineer, TensorRT
NVIDIA —上海市
- 全职
Senior Applied Scientist, Large Language Models
PATSNAP —上海市
- 全职
2天
Senior Software Engineer, AV Infra
NVIDIA —上海市
- 全职
3天
Lead Software Engineer
Cadence Design Systems —上海市
- 全职
Data Scientist Intern
Roche —上海市
- 实习
Manager, Machine Learning, Customer Support Engineering
Airbnb —上海市
快速申请
ADAS Driving System Verification Engineer 智能驾驶辅助系统测试验证工程师
Mercedes-Benz Group AG —上海市
SW Development Engineer: System RF Data Ecosystem
Apple —上海市
3天
Software Developer
SellCord —上海市徐汇区
- 全职
快速申请
3天
Product Owner, Data Sourcing
Dashmote —上海市
- 全职
快速申请
Developer Relations Manager - Al Algorithms, Benchmarks, OSS Datasets
NVIDIA —上海市
- 全职
Senior Web Developer
Disney Entertainment and ESPN Product & Technology —上海市
Senior Data Engineer, Amazon Global Selling -AIT
Amazon (Shanghai) International Trading Company Limited —上海市
- 全职
13天
AI Framework Eng.
Advanced Micro Devices, Inc —上海市
AI Software Development Engineer
Intel —上海市
- 全职
1 小时
[TW Engineering] Staff Machine Learning Engineer
Coupang —上海市
快速申请
6 小时

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Developer Technology Engineer, AI
NVIDIA —上海市
A BS, MS, or PhD degree from a leading university in an engineering or computer science related field (or equivalent experience).
Asset Management - AI Quant Analyst - Artificial Intelligence & Machine Learning Focus
JPMorganChase —上海市
A master's or PhD degree in a quantitative discipline such as mathematics, statistics, computer science, physics, or engineering and with exposures in asset…

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Asset Management - AI Quant Analyst - Artificial Intelligence & Machine Learning Focus

JPMorganChase -
上海市

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JOB DESCRIPTION

Key Responsibilities

Research and implement quantitative investment models using machine learning and deep learning techniques across equities, fixed income, commodities, and other asset classes.
Apply advanced AI methods, including large language models and natural language processing (NLP), to extract insights from textual data for sentiment analysis, event detection, and alternative data integration.
Conduct rigorous research to identify new alpha signals, improve existing strategies, and enhance predictive accuracy in investment decision-making.
Collaborate with portfolio managers, research analysts, and engineers to implement models in production, optimize portfolios, and manage risk exposures.
Stay current of the latest advancements in AI/ML/LLMs and their applications in investment research and management, contributing to the firm's innovation in investment strategies and capabilities.
Present research findings and model results to investment teams, senior management, and other stakeholders

Qualifications

A master's or PhD degree in a quantitative discipline such as mathematics, statistics, computer science, physics, or engineering and with exposures in asset pricing, financial economics, statistical analysis, macroeconomics or econometrics, and stochastic modeling and scenario analysis (CFA or equivalent)
3+ years of experience in quantitative research or analysis within asset management, hedge funds, investment banking, or a similar financial environment.
Proven expertise in machine learning, deep learning, and AI techniques, with hands-on experience applying LLMs/NLP to financial or textual data.
Strong coding and data analysis skills are required. Python experience (additional experience in R or MATLAB, SQL, SPARK and familiarity with large financial databases).
Experience with statistical modeling, time-series analysis, back-testing frameworks, and big data tools.
Knowledge of financial markets, asset pricing, portfolio theory, and risk management.
Excellent problem-solving abilities, attention to detail, and the capacity to work independently as well as in a collaborative team environment.
Strong and effective communication skills (both verbal and written), especially for explaining complex quantitative concepts to non-technical stakeholders.
Attainment of all necessary regulatory licenses (or any other licenses / qualifications as required) for carrying out Asset Management and other regulated activities

Preferred Skills

Experience with generative AI, diffusion models, or agentic workflows in finance.
Familiarity with alternative data sources and their integration into investment processes and strategies.
Track record of developing profitable trading signals or models using ML/LLM techniques.

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

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在上海市的llm engineer个职位

Asset Management - AI Quant Analyst - Artificial Intelligence & Machine Learning Focus

Developer Technology Engineer, AI

Deep Learning Compiler CI/Infrastructure Engineer

AI Computing Software Development Engineer, TensorRT

Senior Applied Scientist, Large Language Models

Senior Software Engineer, AV Infra

Lead Software Engineer

Data Scientist Intern

Manager, Machine Learning, Customer Support Engineering

ADAS Driving System Verification Engineer 智能驾驶辅助系统测试验证工程师

SW Development Engineer: System RF Data Ecosystem

Software Developer

Product Owner, Data Sourcing

Developer Relations Manager - Al Algorithms, Benchmarks, OSS Datasets

Senior Web Developer

Senior Data Engineer, Amazon Global Selling -AIT

AI Framework Eng.

AI Software Development Engineer

[TW Engineering] Staff Machine Learning Engineer

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