Machine Learning Engineer - Search E-Commerce
Join ByteDance as a Machine Learning Engineer and revolutionize the future of e-commerce search! Our Search E-Commerce team is at the forefront of developing cutting-edge algorithms that power seamless, personalized shopping experiences for millions of users. In Canggu, Bali, you'll work alongside top-tier engineers and data scientists to build and deploy machine learning models that enhance search relevance, improve user engagement, and drive sales. This is your chance to shape the future of shopping with cutting-edge technology and innovative solutions.
As a Machine Learning Engineer at ByteDance, you'll be responsible for designing, implementing, and optimizing machine learning models that drive our e-commerce search platform. You'll collaborate with cross-functional teams to understand user needs and business objectives, translating them into data-driven solutions. Daily, you'll work with Python, TensorFlow, and PyTorch to develop and deploy models that improve search accuracy and user satisfaction. This role offers unparalleled opportunities for growth and innovation in the dynamic world of e-commerce.
๐ Tanggung Jawab Pekerjaan
- Design, develop, and deploy machine learning models to enhance search relevance and user experience.
- Collaborate with product managers, data scientists, and engineers to define and implement ML strategies.
- Optimize existing models and algorithms to improve performance and scalability.
- Conduct A/B testing and analyze results to continuously improve search functionality.
- Work with large datasets and leverage tools like Apache Spark and Hadoop for data processing.
- Stay updated with the latest advancements in machine learning and AI to drive innovation.
- Mentor junior engineers and contribute to the technical growth of the team.
- Participate in code reviews and ensure best practices are followed in software development.
๐ Kualifikasi & Syarat
- Bachelor's degree in Computer Science, Data Science, or a related field.
- 3+ years of experience in machine learning engineering, with a strong background in Python and ML frameworks.
- Proficiency in TensorFlow, PyTorch, and scikit-learn.
- Experience with large-scale data processing tools such as Apache Spark and Hadoop.
- Strong understanding of statistical methods and machine learning algorithms.
- Familiarity with cloud platforms like AWS or GCP is a plus.
- Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
- Strong communication skills and the ability to collaborate effectively with cross-functional teams.
๐ ๏ธ Keahlian
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