位于上海市的 5 个优质deep learning engineer职位（正在招聘！）

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Application Manager

Atlas Copco Group -
上海市

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职位详情

完整职位描述

Your role

As a Application Manager, your mission is to strategic planning and business development in the Chinese scientific vacuum market. You will report to Business Line Manager, SVD.

You will

Technical Support & Product Management

Identify and develop new scientific vacuum (SV) product opportunities, rapidly introduce new products into emerging markets, and formulate effective plans for product launches.
Lead product development in close collaboration with global Product Management teams and product companies’ technical teams to ensure products are adapted for the China market and drive local-market-driven innovation.
Lead product quality improvement initiatives and resolve customer complaints systematically.

Key Account Project Delivery & Quality Control

Coordinate technical specifications for vacuum component selection and procurement, support supplier technical evaluations, and collaborate with Quality and Procurement teams for incoming inspection.
Develop vacuum test protocols (helium leak detection, RGA, ultimate pressure and pumping speed curves), analyze anomalies, and propose corrective actions.

Team Building & Management

Recruit, develop, and lead a team of vacuum engineers and technicians; establish technical upskilling plans.
Allocate tasks covering design, testing, and on-site support; monitor project progress and quality deliverables.

Customer & Field Support

Support sales and solution teams in pre-sales technical discussions, assessing customer requirements (e.g., base pressure, pressure rise rate, allowable hydrocarbon contamination level).

To succeed, you will need

We encourage you to apply even if you don't meet every single requirement. We value diverse experiences and perspectives and are excited to see what you bring to the role.

Master’s degree or higher in Vacuum Technology, Physics, Mechanical Engineering, Materials Science, or related fields. Ph.D. preferred.
5+ years of experience in scientific vacuum system development or operation, with at least 2 years in a technical leadership/management role.
Proficient in vacuum calculations (conductance, pumping speed, outgassing rate estimation, pressure distribution).
Skilled in 3D CAD (SolidWorks, Catia, Inventor) and vacuum simulation tools (Molflow+, COMSOL Vacuum Module).
Deep knowledge of helium leak detection (spray, sniffer, vacuum mode) and RGA spectral analysis.
Basic knowledge of vacuum safety interlocks and control logic.
Strong technical documentation and report writing skills (English and Chinese).
Ability to lead rapid team response to field failures (leaks, pump issues, etc.).
Cross-functional collaboration with mechanical, electrical, process, and procurement teams.
________________________________________
Preferred Add-Ons
Hands-on experience building and debugging UHV systems (<1e-10 mbar).
Familiarity with EPICS, LabVIEW, or PLC-based vacuum control integration.
Knowledge of quantitative RGA analysis or vacuum metrology/calibration.

In return, we offer

Culture of trust and accountability
Lifelong learning and career growth
Innovation powered by people
Comprehensive compensation and benefits
Health and well-being

Job location

On-Site
This role requires you to work on-site at our office in Shanghai, China (CN). You will be part of a dynamic team and enjoy the benefits of face-to-face collaboration.

Contact information

Talent Acquisition Team: Alice Jie Chen

Company: Atlas Copco Group

Functional area:

Marketing

Location:

China

City:

Shanghai

On-site/remote:

On-Site

Brand:

Edwards

Company Name:

Edwards Technologies Trading (Shanghai) CompanyLtd

Date of Posting:

May 6, 2026

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在上海市的deep learning engineer个职位

Application Manager

Advisory Engineer, Google expert m/f/d

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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在上海市的deep learning engineer个职位

Advisory Engineer, Google expert m/f/d

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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