Machine Learning Infra SWE
About The Position
About Moloco: Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You’ll Be Contributing to Moloco: We’re hiring a Machine Learning Infrastructure Engineer to join our ML Infra team. This team builds the foundational systems that empower ML teams across the company to scale safely and move fast. You’ll contribute to critical infrastructure that ensures models are trained on reliable data, deployed with confidence, and monitored in production for performance and correctness This is a rare opportunity to join a high-impact team working on production-grade ML systems with broad organizational visibility. We’re open to a range of backgrounds, including exceptional new grads and early-career engineers with a passion for building scalable, reliable systems. The Opportunity: Build and maintain infrastructure for ML model training, deployment, and monitoring Develop internal tools and APIs that improve ML developer workflows and data reliability Partner with ML engineers to ensure clean data flows, reproducible experiments, and observable model behavior Improve the robustness of our pipelines to prevent issues like data drift, silent model degradation, and outages Contribute to team-wide initiatives to scale and standardize ML infrastructure Learn from and collaborate with senior engineers and technical leads across the org
Requirements
- Proficiency in Python and SQL
- Experience with Rust, C++, or Java
- Strong CS fundamentals and core programming ability
- Basic understanding of machine learning concepts, data processing, and statistics
- Interest in building infrastructure and solving real-world ML/AI problems at scale
- Ability to communicate clearly, take initiative, and work in a fast-moving team
Nice To Haves
- Experience with data/ML tools like Airflow, Kubeflow, TensorFlow, PyTorch, and/or Monte Carlo
- Experience in data infrastructure such as Dataflow, BigQuery, BigTable or similar
- Internship or academic project experience related to ML systems or distributed computing
- Demonstrated resilience in high-performance environments
- Willingness to take calculated risks and work on high-ambiguity projects
Responsibilities
- Build and maintain infrastructure for ML model training, deployment, and monitoring
- Develop internal tools and APIs that improve ML developer workflows and data reliability
- Partner with ML engineers to ensure clean data flows, reproducible experiments, and observable model behavior
- Improve the robustness of our pipelines to prevent issues like data drift, silent model degradation, and outages
- Contribute to team-wide initiatives to scale and standardize ML infrastructure
- Learn from and collaborate with senior engineers and technical leads across the org
Benefits
- We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees
