TYB025 - MACHINE LEARNING RESEARCH ENGINEER

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TYB025 - MACHINE LEARNING RESEARCH ENGINEER

IT

Remote

Junior / Middle / Senior

Full-time

Responsibilities

  • Work with the product team to apply A.I/Machine Learning for E-commerce product discovery: product filtering & searching, recommendation, personalization, search relevance optimization.

  • Apply research methodologies to identify the appropriate AI/ML architectures and models for the above stated problem(s) at hand, and lead proof of concept implementations to ensure feasibility of identified solutions.

  • Monitor the effectiveness of all implemented AI/ML solutions and recommend/implement the needed revisions to enhance their efficiencies and operations.

  • Data acquisition and cleansing, data analysis, modeling and related algorithm development.

  • Works closely with a team of business analyst, software engineers to design, develop machine learning models and pipelines, feature engineerings and optimization and release the A.I features to a wide range of E-commerce merchants.

APPLY

Infomation

Offered Salary

2,000 $ - 3,000 $

Skills

Requirements

  • Bachelor's Degree in Computer Science or a related field.

  • A minimum of 3 years's experience of working in A.I/Machine Learning field.

  • Established skills in Problem Solving and Critical Thinking.

  • Excellent written and verbal communication skills with the ability to present complex concept/information in a clear and concise manner to a variety of audiences.

  • Good understanding of machine learning & deep learning concepts and algorithms, various statistical techniques, and experimentation analysis workflows.

  • Proficient and experienced in scripting languages and have rapid prototyping skills, that is, fluency in SQL, Python, Spark, etc. among others.

  • Ability to quickly read and understand cutting-edge papers in related fields.

** Preferred Qualifications

  • Master/Ph.D with a focus in A.I/Machine Learning.

  • Having track record of researching of topics of E-commerce learning to rank applied to recommendations, personalization, search query relevance problems.

  • Hands-on experience with Amazon Web Services AI/Machine Learning stacks such as AWS SageMaker, etc.

Benefits

Salary range: up to 70mil net