R&D Engineer

Technology, Data & Digital · Data Science · Machine Learning · Artificial Intelligence

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ABB is seeking an R&D Engineer in Shanghai to develop industrial AI algorithms and LLM applications. Responsibilities include building data pipelines, optimizing control algorithms, and exploring AI Agent development for autonomous systems. The role requires a Bachelor's or Master's degree in a related field and proficiency in Python and Linux, with a strong foundation in machine learning or control theory.

JOB DESCRIPTION

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This position reports to:

R&D Senior Engineer

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Your role and responsibilities:

Join our team as an R&D Engineer and take on challenges that transform industries and drive innovation. You will participate in the research, development, and deployment of advanced AI algorithms and LLM applications while collaborating with a distributed team to ensure high-quality delivery. Make an impact that matters at ABB!

You will be mainly accountable for:

  • Participate in developing industrial AI algorithms (e.g., predictive maintenance, anomaly detection, process optimization) and support deployment on automation platforms and edge devices.
  • Assist in developing and optimizing control algorithms, integrating AI models with industrial equipment such as PLCs and sensors.
  • Build and maintain industrial data processing pipelines — from data acquisition, cleaning, feature engineering to model training and inference.
  • Explore industrial AI Agent development for autonomous decision-making and adaptive control in industrial workflows.
  • Support algorithm productization, including model compression, edge inference optimization, and performance tuning based on field feedback.
  • Explore industrial vision and multi-modal AI applications for quality inspection and equipment monitoring.
  • Support on-site commissioning and algorithm validation in real industrial environments (occasional travel required), iterating solutions based on operational data.
  • Write and maintain technical documents, including algorithm design specs, API documentation, and deployment guides.
  • Collaborate with application teams to align on requirements and ensure solution delivery.

Qualifications for the role:

  • Bachelor's or Master's degree in Automation, Electrical Engineering, Computer Science, Artificial Intelligence, or related fields. Fresh graduates welcome.
  • Proficient in Python and Linux; solid foundation in machine learning, deep learning, signal processing, or control theory.
  • Experience with industrial data pipelines (time-series processing, feature engineering) and model deployment preferred.
  • Knowledge of PLCs, industrial control systems, or fieldbus protocols (e.g., Modbus, OPC UA) is a plus.
  • Familiarity with machine vision, multi-modal AI, or AI Agent frameworks in industrial contexts is a plus.
  • Strong technical writing skills; able to produce clear, structured documentation.
  • Self-driven and proactive; passionate about tracking cutting-edge developments in industrial AI and translating them into practical solutions.
  • Good English reading, writing, and oral communication skills.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.

Ready to make an impact?

Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

Requisition ID: JR00039269

Important: In order to be employed by ABB you will need to fully comply with/fulfill all local ABB employment requirements/processes.

Before applying, please read our Fraud Warning.

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Företag

ABB

Publicerade jobb

för 1 dag sedan

Anställningstyp

Heltid

Arbetsform

På plats

Erfarenhetsnivå

Junior

Platser

Shanghai, China

Kvalifikation

Kandidatexamen, Masterexamen

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