Staff/Senior Machine Learning Scientist (Ad Cloud)

Appier is hiring a Staff/Senior Machine Learning Scientist (Ad Cloud) in Taipei, Taiwan. Level rates it ; you can apply on Appier.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
The posting mentions PyTorch and TensorFlow among its tools and skills.
Level classes it as a lead role.
Appier has 66 other open roles on Level.

AI in this role

pytorchtensorflow

About Appier

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.

What You’ll Work On

Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).

What We’re Looking For

Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
4+ years of industry experience in ad tech, with a focus on performance optimization.
Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).

#LI-TC1

How we rate this

Staff/Senior Machine Learning Scientist (Ad Cloud) at Appier rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Staff/Senior Machine Learning Scientist (Ad Cloud) is an open job at Appier.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Taipei, Taiwan.
The job was posted on May 19, 2025.
Seniority: lead.
Applications are handled by Appier. Apply on Appier

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PyTorchTensorFlow

Questions you could be asked

What's a project where you used PyTorch hands-on?
Walk me through how you've used TensorFlow in your day-to-day work.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: PyTorch and TensorFlow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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