Entry-Level ML Engineer: Autonomous Driving Data & ML

Wingfin Singapore; Kuala Lumpur; On-site; MYR 42,000 - 60,000; Full time

Benefits offered by this job

Competitive salary and benefits

Job summary

Wingfin Singapore is seeking an entry-level Machine Learning Engineer in Malaysia or Singapore. The role focuses on preparing, processing and validating data for ML training, with opportunities to contribute to model development and experimentation.

A strong academic foundation in Physics, Mathematics or Engineering is valued, along with practical ML experience and proficiency in Python. You will work on data pipelines for perception, planning and control components, run experiments, and help

Qualifications

• Bachelor's degree in Physics, Mathematics or Engineering with strong academics.
• Some practical ML experience via university work, projects or research.
• Proficient in Python and ML fundamentals (datasets, loss, evaluation).
• Active use of AI-assisted tools for coding, debugging and data analysis.
• Strong numerical and analytical abilities; data-oriented mindset.

Responsibilities

• Prepare and process large autonomous-driving datasets for ML training.
• Build pipelines to extract, clean, label and organize sensor data.
• Inspect datasets for errors and data-quality issues.
• Develop tools to identify useful driving scenarios for training.
• Validate datasets before entering model-training pipelines.
• Run ML experiments and analyze results.
• Collaborate with teams building perception, planning and control models.
• Improve training and evaluation infrastructure as data grows.
• Investigate failures by tracing through models, code and data.

Skills

Python programming

Machine learning basics

Experimentation

Data analysis

Attention to detail

Education

Bachelor's degree in Physics/Mathematics/Engineering

Tools

PyTorch

Git

Linux

CUDA

Job description

Wingfin Singapore is seeking an entry-level Machine Learning Engineer in Malaysia or Singapore. The role focuses on preparing, processing and validating data for ML training, with opportunities to contribute to model development and experimentation.

A strong academic foundation in Physics, Mathematics or Engineering is valued, along with practical ML experience and proficiency in Python. You will work on data pipelines for perception, planning and control components, run experiments, and help