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Job Summary

  • Company

    Shanghai Lanzai Information and Technology Pty Ltd​

  • Location

    Shanghai, China​

  • Job Type

    Full Time

  • Salary Range

    20,000-30,000 RMB

  • Number to Recruit


  • Job Reference Code


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Machine Learning Developer (Artificial Learning)

Shanghai, China

About Company:

Shanghai Lanzai Information Technology Pty Ltd. Founded in 2018, we mainly engage in the fields of semiconductors, communications, and new materials. With an experienced team dedicated to developing and producing high-quality products, we are the only domestic enterprise with independent production of nanoscale magnetic fluids and intelligent equipment and technology. In 2018, the project founder used his keen perception of the industry to identify the research and market direction of nanoscale magnetic fluids. He invested millions of dollars to establish a technology incubation laboratory in Shanghai. Our company has a small and exquisite team, adopting American-style management, with a harmonious team atmosphere and ample growth space. Our colleagues are located all over the world, and we sincerely invite you to join us.

Job Profile:

As a Machine Learning Engineer specializing in artificial learning, you will play a crucial role in developing and implementing advanced machine learning algorithms to enhance the capabilities of our AI-driven systems. You will work in close collaboration with our cross-functional team of data scientists, software engineers, and domain experts to design, build, and deploy state-of-the-art AI models and solutions.

Job Details:


1. Algorithm Development: Design, develop, and optimize machine learning algorithms for artificial learning applications, with a focus on enhancing model accuracy, efficiency, and scalability.

2. Python Programming: Utilize your strong proficiency in Python to implement machine learning solutions, leverage existing libraries, and create custom code as needed.

3. Data Preprocessing: Preprocess and clean large-scale datasets to ensure the quality and reliability of input data for training and evaluation purposes.

4. Model Training and Evaluation: Train, fine-tune, and validate machine learning models using various techniques such as supervised, unsupervised, and reinforcement learning.

5. Performance Optimization: Continuously optimize algorithms and models to meet performance benchmarks and improve overall efficiency.

6. Research and Innovation: Stay updated with the latest advancements in machine learning and artificial learning techniques to propose and implement innovative solutions.

7. Collaborative Projects: Collaborate with data scientists, software engineers, and other team members to integrate machine learning capabilities into our products and services.

8. Documentation: Maintain comprehensive documentation of algorithms, code, and experiments to ensure knowledge sharing and reproducibility.


1. Proficiency in Python: Strong coding skills in Python with experience in using libraries such as TensorFlow and/or PyTorch, for machine learning tasks.

2. Mathematical Aptitude: Solid understanding of mathematical algorithms and principles underlying machine learning techniques, including linear algebra, calculus, and probability.

3. Machine Learning Expertise: Proven experience in designing and implementing machine learning models for classification, regression, and clustering tasks.

4. English Language Proficiency: Excellent verbal and written communication skills in English to effectively collaborate with a diverse team and communicate complex technical concepts.

5. Problem-Solving Skills: Strong analytical and problem-solving abilities to identify and address challenges in machine learning projects.

6. Team Player: A collaborative mindset with the ability to work effectively in a team-oriented, fast-paced environment.

8. Adaptability: Willingness to learn and adapt to new technologies and tools as required by the project's needs.

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