ML Engineer, Scalable Recommender Systems

Pangleglobal

Singapore

On-site

SGD 80,000 - 120,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Pangleglobal in Singapore is looking for a skilled professional to work on advanced recommendation systems using deep learning techniques. The ideal candidate will hold a Bachelor's degree in Computer Science and have rich experience in machine learning, strong programming skills in C++ and Python, and familiarity with big data tools. The role involves optimizing models, conducting impactful research, and working in a collaborative technology team. The position offers a regular employment type within a dynamic work environment.

Qualifications

  • Strong in data structures and algorithms, with excellent problem-solving ability.
  • Experience in applied machine learning, familiar with recommendation algorithms.
  • Possess strong communication skills and a positive mindset.

Responsibilities

  • Work on recommendation systems across various e-commerce scenarios.
  • Optimize e-commerce recommendation models using deep learning techniques.
  • Conduct research to enhance content recommendation circulation.

Skills

Data mining and analysis
Deep learning
C++ programming
Python programming
Machine learning algorithms

Education

Bachelor's degree in Computer Science or related fields

Tools

TensorFlow
PyTorch
Hive SQL
Spark

Job description

Pangleglobal in Singapore is looking for a skilled professional to work on advanced recommendation systems using deep learning techniques. The ideal candidate will hold a Bachelor's degree in Computer Science and have rich experience in machine learning, strong programming skills in C++ and Python, and familiarity with big data tools. The role involves optimizing models, conducting impactful research, and working in a collaborative technology team. The position offers a regular employment type within a dynamic work environment.
Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Real-Time Recommendation ML Engineer
Real-Time Recommendation ML Engineer

Pangleglobal • Singapore

On-site
SGD 70,000 - 90,000
Foundation Model Engineer - Large Recommendation Systems
Foundation Model Engineer - Large Recommendation Systems

Pangleglobal • Singapore

On-site
SGD 80,000 - 120,000
ML Engineer, E‑Commerce Feed & Live Content
ML Engineer, E‑Commerce Feed & Live Content

Pangleglobal • Singapore

On-site
SGD 70,000 - 90,000
ML Infra Engineer for Scalable Recommendation Systems
ML Infra Engineer for Scalable Recommendation Systems

ByteDance • Singapore

On-site
SGD 70,000 - 100,000
ML Engineer: Scalable Recommendation Systems
ML Engineer: Scalable Recommendation Systems

AppLovin • Singapore

On-site
SGD 80,000 - 120,000
High ownership and direct business impact
Startup speed with AppLovin-level scale and resources
Graduate Backend Engineer - Recommendation Architecture
Graduate Backend Engineer - Recommendation Architecture

TikTok • Singapore

On-site
SGD 60,000 - 80,000
Machine Learning Engineer (Recommendation) - Global E-Commerce Singapore Regular
Machine Learning Engineer (Recommendation) - Global E-Commerce Singapore Regular

Pangleglobal • Singapore

On-site
SGD 80,000 - 120,000
ML Platform Engineer — Scalable Backend for Deep Learning
ML Platform Engineer — Scalable Backend for Deep Learning

ByteDance • Singapore

On-site
SGD 80,000 - 120,000
Lead Algorithm Engineer: Search & Recommendation Systems
Lead Algorithm Engineer: Search & Recommendation Systems

GoTo Group • Singapore

On-site
SGD 70,000 - 90,000
Lead AI Engineer, Search & Recommendation (LLMs)
Lead AI Engineer, Search & Recommendation (LLMs)

GoTo Group • Singapore

On-site
SGD 70,000 - 90,000