Graduate Machine Learning Engineer — E‑commerce Recs

TIKTOK PTE. LTD.; Singapore; On-site; SGD 125,000 - 150,000; Full time

Job summary

A leading tech company based in Singapore is seeking talented graduates for an E-commerce role focused on building large-scale recommendation algorithms. Candidates must have a solid background in Software Development and programming, with experience in machine learning. This position offers opportunities for career growth in a dynamic environment, tackling challenges in E-commerce live-streaming and video content. Join a diverse and innovative team aimed at transforming online shopping experiences.

Benefits

Stock options

Yoga and fitness activities

Career growth opportunities

Competitive compensation

Flexible hours

Positive team atmosphere

Paid leave

Flat organization

Qualifications

• Final year or recent graduate with a background in Software Development, Computer Science, or a related technical discipline.
• Strong programming and problem-solving ability.
• Experience in applied machine learning, familiar with collaborative filtering and deep neural networks.

Responsibilities

• Participate in building large-scale e-commerce recommendation algorithms and systems.
• Design, develop, evaluate and iterate on predictive models for candidate generation and ranking.
• Support the production of scalable AI/machine learning models.

Skills

Programming

Problem-solving

Machine Learning

Data Mining

Education

Bachelor's degree in Software Development or related field

Tools

TensorFlow

PyTorch

C++

Python

Job description

A leading tech company based in Singapore is seeking talented graduates for an E-commerce role focused on building large-scale recommendation algorithms. Candidates must have a solid background in Software Development and programming, with experience in machine learning. This position offers opportunities for career growth in a dynamic environment, tackling challenges in E-commerce live-streaming and video content. Join a diverse and innovative team aimed at transforming online shopping experiences.