Staff Machine Learning Engineer - Moloco Commerce Media

Moloco • Menlo Park, CA

17h • $197,200 - $348,000

About The Position

Moloco builds powerful AI advertising solutions, aiming to democratize access to advanced AI. The company's machine learning platform powers solutions for advertising growth and monetization, including Moloco Ads for user acquisition and Moloco Commerce Media for retailers and marketplaces to build ad businesses. Moloco is headquartered in Silicon Valley with global offices and is experiencing a period of growth.

Requirements

• 8-12 years of experience in applied machine learning or machine learning 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 (e.g., Python, PyTorch/TensorFlow/JAX, feature stores, distributed training, and large-scale data processing frameworks) to solve complex ranking and prediction problems.
• Experience building and optimizing models such as CTR predictors, retrieval models, conversion models, or recommendation systems, ideally including exposure to transformer-based architectures.
• Ability to navigate ambiguity by breaking loosely defined or novel business problems into well-structured ML projects, defining metrics, setting up experiments, and iterating based on data.
• Effective collaboration with cross-functional partners, tailoring complex technical concepts for non-technical stakeholders to drive alignment and decision-making across product, engineering, and go-to-market teams.
• Ability to lead as the most senior technical IC on a team, independently owning high-impact technical initiatives, influencing architecture and roadmap decisions, and setting a high bar for code quality and model performance.
• Thrive in a fast-moving environment where combining rigorous experimentation with pragmatic engineering unlocks measurable value for advertisers, retailers, and end customers.

Responsibilities

• Design and deliver cutting-edge machine learning models that power Moloco’s Commerce Media products, serving as the core “engine” behind ads ranking, recommendations and search for retail media customers.
• Advance the performance, scalability, and reliability of our core ad prediction and retrieval systems so customers can unlock meaningful business outcomes from their first campaigns onward.
• Design, build, 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 closely 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, and highly reliable inference at scale.
• Mentor and uplevel other machine learning engineers through design reviews, knowledge sharing, and best practices in modern ML and MLOps.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) plan with company match
• Short-term disability coverage
• Long-term disability coverage
• Basic life insurance
• Well-being benefits and perks
• Up to 12 scheduled paid holidays per calendar year
• One Thrive Day off per quarter
• Flexible Time Off (FTO)
• Bonus and equity awards (eligibility and amounts determined by performance and applicable plans)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed