ML Engineer — Personalization & Recommendations

Shopback-2; Jakarta Pusat; On-site; IDR 400,000,000 - 700,000,000; Full time

Benefits offered by this job

Career growth opportunities

Be part of a winning team

Competitive compensation

Candid, open, collaborative culture

Job summary

ShopBack Group is seeking an experienced ML Engineer to own the recommendation and personalization stack, from dataset and training to offline/online evaluation. You will combine classic ranking with LLM-enhanced methods, shipping models with rigorous evaluation and metrics-driven outcomes.

You will mentor ML engineers, collaborate with product and CRM, and champion MLOps and robust experimentation in a fast-paced environment. This role is based in Jakarta and offers growth opportunities.

Qualifications

• Shipped and iterated recommendation/personalization/ranking systems.
• Strong grounding in retrieval, embeddings, and online experimentation.
• Hands-on fine-tuning of open-source models/LLMs (SFT/LoRA/DPO).
• Build evaluation sets and harnesses for rapid experimentation.
• Understand dataset licensing and provenance for commercial use.
• Solid MLOps fundamentals: data pipelines, productionisation, monitoring.
• Proficient in Python and PyTorch; familiar with Hugging Face tech.
• Able to use agentic AI tools to improve engineering workflows.
• Quantitative degree with ability to solve tough problems at scale.

Responsibilities

• Own recommendation and personalization end-to-end with measurable impact.
• Blend classic ML with modern LLM techniques where beneficial.
• Ship with evidence: develop evaluation sets and experiments before release.
• Mentor ML engineers on ranking and recommender practices.
• Drive business metrics through product-aware ML initiatives.
• Navigate ambiguity and collaborate with product, ops, and CRM.

Skills

Recommendation systems

Ranking models

Online experimentation

Python

PyTorch

MLOps

Data pipelines

Model evaluation

LLM fine-tuning

Education

Bachelor's in CS/Math/Statistics

Tools

Spark

Airflow

AWS SageMaker

Transformers

PEFT/LoRA

TRL

vLLM

Job description

ShopBack Group is seeking an experienced ML Engineer to own the recommendation and personalization stack, from dataset and training to offline/online evaluation. You will combine classic ranking with LLM-enhanced methods, shipping models with rigorous evaluation and metrics-driven outcomes.

You will mentor ML engineers, collaborate with product and CRM, and champion MLOps and robust experimentation in a fast-paced environment. This role is based in Jakarta and offers growth opportunities.