JD-Applied Scientist-Fulltime.docx
Job Description: As an entry-level Applied Scientist, you will be part of a dynamic team working on exciting projects that involve developing and deploying machine learning solutions in the fashion e-commerce domain. You will have the opportunity to contribute to the creation of a domain-specific knowledge platform, intelligent content creation, and smart assistant solutions. This role will provide you with hands-on experience in applying AI and large language model (LLM) technologies to solve real-world problems.
WHERE YOUR EXPERTISE IS NEEDED:
Assist in the development and implementation of machine learning models for various applications.
Conduct research and experiments to explore new algorithms and techniques.
Collaborate with cross-functional teams, including software engineers, product managers, and product analysts, to deliver innovative solutions.
Participate in the quick prototyping and testing of machine learning models to assess their effectiveness.
Contribute to the documentation and improvement of processes within the applied science domain.
Support the deployment and operation of machine learning solutions on our centralized abuse protection platform.
Engage in knowledge sharing and contribute to our growing science community in an agile work environment.
WHAT WE’RE LOOKING FOR:
Recent graduate with a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
Proficient in large model frameworks such as Llama/Qwen and their applications, with solid experience in prompt engineering. Skilled in conducting supervised fine-tuning (SFT) and knowledge enhancement by integrating domain-specific data.
Basic understanding of machine learning algorithms and statistical methods.
Proficiency in programming languages such as Python.
Familiarity with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, Keras).
Strong problem-solving skills and the ability to think critically.
Good communication skills and the ability to work effectively in a team environment.
Passion for technology and a desire to learn and grow in the field of AI.
Preferred Qualifications:
Internship or project experience in machine learning or data science.
Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud).
Familiarity with data storage, ingestion, and transformation processes.
What We Offer:
Opportunities for professional growth and development.
A collaborative and inclusive work environment.
Access to state-of-the-art resources and tools.
The chance to work on impactful projects that make a difference
