drjobs Software Engineer, Machine Learning & AI

Software Engineer, Machine Learning & AI

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1 Vacancy
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Job Location drjobs

Shanghai - China

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

As a Software Engineer on our team you will play a pivotal role in shaping and delivering high-impact AI/ML solutions that redefine how Apple designs manufactures and tests hardware products. The software you build will power data-driven decisions uncover new insights and enable breakthrough capabilities across Hardware Engineering and operate in a fast-paced collaborative environment working closely with cross-functional teams to quickly iterate validate and deploy practical AI/ML solutions at Responsibilities:-Design implement and maintain AI/ML software solutions with clean scalable and testable code-Collaborate with senior engineers and cross-functional partners to understand requirements and translate them into concrete technical tasks-Develop and refine ML workflows including training evaluation and inference pipelines for both traditional models and LLM-based solutions-Contribute to agentic system development and RAG-based architectures that enable intelligent automation and reasoning-Stay up to date with the evolving AI/ML landscape and help improve our tools infrastructure and practices based on new developments-Participate in code reviews design discussions and documentation to ensure high engineering quality and team knowledge sharing-Support testing deployment and monitoring of models and services in production environments


  • 3 years of professional software engineering experience with a focus on AI/ML development
  • Proficiency in Python or another object-oriented programming language
  • Hands-on experience with training and deploying ML models or using LLMs in applications
  • Strong problem-solving skills and an ability to learn quickly in a fast-paced environment
  • Bachelors degree in Computer Science Engineering or a related field or equivalent industry experience
  • Strong communication skills and a collaborative mindset


  • Exposure to agentic workflows RAG pipelines or LLM APIs (e.g. OpenAI HuggingFace LangChain)
  • Experience with ML infrastructure tools (e.g. PyTorch TensorFlow Ray Airflow)
  • Familiarity with containerization (e.g. Docker) CI/CD and cloud-based development
  • Passion for continuous learning knowledge-sharing and improving how teams build AI/ML systems

Employment Type

Full-Time

Company Industry

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