AI role · Open offer

ML Engineer — marketing AI

Appier

Full-time
Senior
AdTech ML
Hybrid
80 Pasir Panjang Road, Singapore, SG 117372, Singapore · Hybrid
Singapore, Singapore
SGD 110k–160k/year + equity

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

4 skills2 tools

At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: 80 Pasir Panjang Road, Singapore, SG 117372, Singapore · Hybrid
Compensation: SGD 110k–160k/year + equity
Experience level: Senior
Team: AdTech ML
Benefits & perks

About this role

What the team is looking for and how this position fits.

Appier is hiring a Senior ML Engineer — marketing AI on the AdTech ML team (Hybrid · Singapore, Singapore). This is a hands-on role in applied machine learning—not a generic “AI enthusiast” post.

You will own modeling, evaluation, and production ML delivery end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Appier is a NASDAQ-listed marketing AI company headquartered in Singapore.

ML Engineer: CTR/CVR models, uplift, and GenAI creative with brand safety.

Missions

Train and serve models on cross-device advertising data.
Guardrails for automated ad copy and image variants.

Stack & environment

Python, PyTorch, TensorFlow, SQL.

What we look for

AdTech or recommender systems experience.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
SQL

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

TensorFlowTool
Regular use of TensorFlow in the applied machine learning stack—configuration, debugging, and team conventions.
DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: CTR/CVR models, uplift modeling, or GenAI ad creative with guardrails.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, Machine Learning, and TensorFlow.
You have owned modeling, evaluation, and production ML delivery in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Singapore, Singapore)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.

Apply

Candidate accounts only: add your headline and bio on , and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

CTR/CVR models, uplift modeling, or GenAI ad creative with guardrails.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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