Base Salary
$197k - $348k/yr
Responsibilities
- Design, build, and productionize machine learning models for CTR prediction, retrieval, conversion, search, and recommendations.
- Lead experimentation from problem framing and offline modeling through online A/B testing and iteration.
- Translate retail media and ecommerce requirements into ML solutions, features, and evaluation frameworks with cross-functional partners.
- Improve ML pipelines, model serving, and monitoring for low-latency, high-throughput, reliable inference at scale.
- Advance the performance, scalability, and reliability of ad prediction and retrieval systems.
- Mentor and develop other machine learning engineers through design reviews, knowledge sharing, and best practices in modern ML and MLOps.
Requirements
- 8–12 years of experience in applied machine learning or machine learning engineering, with production models in advertising, recommender systems, search, or large-scale ecommerce.
- Deep hands-on experience with Python, PyTorch, TensorFlow, or JAX, feature stores, distributed training, and large-scale data processing frameworks.
- Experience building and optimizing CTR predictors, retrieval models, conversion models, or recommendation systems.
- Ideally, exposure to transformer-based architectures.
- Ability to define metrics, structure ambiguous business problems, establish experiments, and iterate using data.
- Experience collaborating with product, engineering, solutions, and go-to-market stakeholders.
- Ability to independently own high-impact technical initiatives, influence architecture and roadmap decisions, and set high standards for code and model quality.
Benefits
- Medical, dental, and vision insurance for U.S.-based employees.
- 401(k) plan with company match, disability coverage, basic life insurance, and well-being benefits.
- Up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter for U.S.-based employees.
- Flexible Time Off for all employees.
- Potential eligibility for bonus and equity awards.
- Location-based compensation varies across U.S. regions.
About MOLOCO
Moloco’s mission is to be the scaling engine for the internet economy, applying AI to help businesses of all sizes grow. With Moloco’s artificial intelligence platform for growth and performance, every app publisher, commerce marketplace, and streaming business can now unlock the value of their unique, first-party data. Moloco Ads enables performance marketers to scale user acquisition for mobile apps through our advanced artificial intelligence. Moloco Commerce Media enables retailers and marketplaces to build their own ads business with a flexible solution that delivers relevance, results, and automation for scaled and streamlined ad operations. Moloco Streaming Monetization enables streaming media companies to revolutionize their monetization strategy by building an outcomes-based ads business that delivers relevancy for users and results for advertisers. Moloco was founded in 2013 by a team of machine learning engineers and has offices throughout the US, the UK, Germany, Korea, China, India, Japan, and Singapore.