位于上海市的 19 个优质machine learning engineer职位（正在招聘！）

Asset Management - AI Quant Analyst - Artificial Intelligence & Machine Learning Focus
JPMorganChase —上海市
- 全职
Software Engineer
Molex —上海市
Senior ML Optimization Engineer, iCloud
Apple —上海市
5天
Robotics Pod Lead
Siemens —上海市
- 合同工
Validation / Verification Eng, Staff Engineer
Synopsys —上海市
Senior Software Engineer (Enterprise Systems), IS&T Ai & Data Platforms
Apple —上海市
6天
Mac Hardware Systems Engineer (SoC)
Apple —上海市
AI Computing Software Development Engineer, TensorRT
NVIDIA —上海市
- 全职
Software Engineer, AI and DL Kernel Libraries
NVIDIA —上海市
- 全职
Software Architect, Autonomous Vehicles - Backend and AI Agents
NVIDIA —上海市
- 全职
Data Scientist Intern
Roche —上海市
- 实习
Senior AI Engineer (Python/ML)
EPAM Systems, Inc. —上海市
汽车软件与AI解决方案销售_ETAS
Bosch Group —上海市
快速申请
Senior Product Manager - AI, Amazon Global Selling - PMO
Amazon (Shanghai) International Trading Company Limited Beijing Branch —上海市
- 全职
P10K - Accenture - AI/ML Computational Science Manager
Accenture —上海市
- 全职
Learning-based Planning and Prediction Research Scientist for Autonomous Driving_CR
Bosch Group —上海市
快速申请
Machine Learning Engineer, ML Infrastructure (New Grads)
Unity Software (Shanghai) Co., Ltd —上海市
Staff/ Senior Machine Learning Engineer, ML Infrastructure- Offline
Unity Software (Shanghai) Co., Ltd —上海市
11天
Staff/ Senior Machine Learning Engineer, ML Infrastructure- Online
Unity Software (Shanghai) Co., Ltd —上海市

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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machine learning engineer个职位

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

Software Engineer

Senior ML Optimization Engineer, iCloud

Robotics Pod Lead

Validation / Verification Eng, Staff Engineer

Senior Software Engineer (Enterprise Systems), IS&T Ai & Data Platforms

Mac Hardware Systems Engineer (SoC)

AI Computing Software Development Engineer, TensorRT

Software Engineer, AI and DL Kernel Libraries

Software Architect, Autonomous Vehicles - Backend and AI Agents

Data Scientist Intern

Senior AI Engineer (Python/ML)

汽车软件与AI解决方案销售_ETAS

Senior Product Manager - AI, Amazon Global Selling - PMO

P10K - Accenture - AI/ML Computational Science Manager

Learning-based Planning and Prediction Research Scientist for Autonomous Driving_CR

Machine Learning Engineer, ML Infrastructure (New Grads)

Staff/ Senior Machine Learning Engineer, ML Infrastructure- Offline

Staff/ Senior Machine Learning Engineer, ML Infrastructure- Online

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