Zeiss

Corporate venture capital for deep-tech startups

Algorithm Engineer

Computer VisionConfirmed live in the last 24 hours

Full-timeShanghai, ChinaNo salary listedIn-person

About the Job

Requirements

A Master's degree in mathematics, computer science, software engineering, or a similar field.
Solid experience in industry defect image recognition; lithium-ion battery experience is preferred.
Understanding of the battery manufacturing process.
A solid foundation in computer science, image processing, and computer vision.
Solid knowledge and experience in traditional image processing.
Proficiency in Python.
Experience with algorithm modeling and emulation platforms.
Experience training machine learning models for classification, object detection, and segmentation.
Proficiency in model performance analysis, including accuracy, precision, recall, and F1-score.
Expertise in model optimization techniques, including quantization, pruning, and model compression.
Advanced image processing skills, including data augmentation and pre-processing techniques.
Proficiency in end-to-end testing practices, including unit, integration, and model performance validation.
Strong troubleshooting, debugging, and problem-solving skills.
Proficiency in spoken and written English and Chinese.
Ability to work independently and collaboratively.

Responsibilities

Contribute to the NEV application team.
Model, analyze, and implement CT/X-ray image algorithms.
Solve core technical issues and optimize solutions.
Align technical work across sites.
Work with the team to build and drive development of the technology stack.

Desired Qualifications

Experience in lithium-ion battery industry defect image recognition.
Knowledge of X-ray imaging systems and principles.
Experience with additional programming languages such as C# or C++.
Work experience in a cross-site international team.

Position Summary

The position will be responsible for algorithm modeling, analysis, and implementation for ZEISS products, encompassing both 2D and 3D imaging solutions, as well as related imaging technologies. This role will involve developing and optimizing algorithms for image processing, machine learning, and model deployment, supporting advancements in precision and reliability across the product line.

Main Tasks

Be a solid part of the NEV application team
Responsible for the CT/Xray image algorithm modeling, analysis, and implementation
Responsible for the core technical issue solving and optimization
Responsible for the cross-site technical alignment
Work with team to build and drive the tech stack development

Requirements

Education

Master’s degree in math, computer science, software engineering or similar

Experience

Solid experience in industry defect image recognition, lithium-ion battery preferred.
Understanding of battery manufacturing process.
Solid foundation in computer science, image processing, and computer vision
Solid knowledge and experience in traditional image processing.
Proficiency in Python.
Experience with algorithm modeling and emulation platforms
Experience training machine learning models for classification, object detection, and segmentation
Proficiency in model performance analysis, including accuracy, precision, recall, and F1-score
Expertise in model optimization techniques (quantization, pruning, model compression)
Advanced image processing skills, including data augmentation and pre-processing techniques
Proficiency in end-to-end testing practices (unit, integration, and model performance validation)
Strong troubleshooting, debugging, and problem-solving skills
Knowledge of X-ray imaging systems and principles as a plus
Experience with additional languages (e.g., C#, C++) as a plus

Other skills

Proficiency in English and Chinese (both spoken and written) and good communication skills
Ability to work independently yet team-oriented
Self-motivated and open-minded with high degree of responsibility
Work experience in cross-site international team is a plus

Your ZEISS Recruiting Team

About the Company

Zeiss

Corporate venture capital for deep-tech startups

ZEISS Ventures is the corporate venture capital arm of the ZEISS Group, investing in deep-tech startups that align with its core business areas. It focuses on early-stage rounds (pre-Series A to Series A), typically $1–$5 million, across Information Technology, Industrial Tech, MedTech, and Life Sciences. It adds value by providing targeted funding and using ZEISS’s global network and expertise to support portfolio companies. The goal is to accelerate development of new technologies and business models that complement ZEISS’s portfolio, while actively engaging with external innovation.

Company size: 1,001-5,000
Company stage: Growth Equity (Non-Venture Capital)
Total funding: $69.9M
Headquarters: Oberkochen, Germany
Founded: 2001

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