Staff ML Engineer — CTR & Recommendation for Commerce Media

Moloco; Menlo Park (CA); On-site; USD 250,000 - 360,000; Full time

Job summary

Moloco seeks an experienced ML Engineer to design and productionize core ML models for ads, ranking, and retail media. You will lead experimentation cycles, collaborate with product and engineering teams, and uplift peers through best practices in ML and MLOps.

You will work on cutting-edge ML pipelines, serving, and monitoring to ensure low-latency, high-throughput performance across Moloco Commerce Media products. This is a high-impact, senior IC role.

Qualifications

• 8–12 years of experience in applied machine learning or ML engineering, with a track record of shipping production models in ads, recommender systems, search, or large-scale ecommerce.
• Deep hands-on expertise with modern ML toolchains (Python, PyTorch, TensorFlow, JAX) and distributed training to solve ranking/prediction problems.
• Experience building and optimizing CTR predictors, retrieval/conversion models, or recommender systems, including transformer-based architectures.

Responsibilities

• Design and productionize core ML models for CTR prediction, retrieval, conversion, and search/recommendation that directly drive performance for Moloco Commerce Media customers.
• Lead end-to-end experimentation cycles, from problem framing and offline modeling to online A/B testing and iteration, to continuously improve auction, ranking, and recommendation quality.
• Partner with product, engineering, and solutions teams to translate retail media and ecommerce requirements into robust ML solutions, features, and evaluation frameworks.
• Drive technical excellence across the ML stack by improving pipelines, model serving, and monitoring for low-latency, high-throughput inference at scale.
• Mentor and uplift other machine learning engineers through design reviews and best practices in ML and MLOps.

Skills

Applied ML

End-to-end ML projects

Large-scale data processing

Cross-functional collaboration

Tools

Python

PyTorch

TensorFlow

JAX

Feature stores

Job description

Moloco seeks an experienced ML Engineer to design and productionize core ML models for ads, ranking, and retail media. You will lead experimentation cycles, collaborate with product and engineering teams, and uplift peers through best practices in ML and MLOps.

You will work on cutting-edge ML pipelines, serving, and monitoring to ensure low-latency, high-throughput performance across Moloco Commerce Media products. This is a high-impact, senior IC role.