Moloco
AI advertising solutions
MachineLearningEngineer,Infrastructure
Neural analysis suggests this role is
optimal for Mid candidates.
“Machine Learning Engineer, Infrastructure at Moloco. Skills: ML infrastructure, JAX, Rust, Python. Drive development and optimization of ML infrastructure. Enhance performance and reliability of Ads product line”
What You'll Achieve.
Deliver high-quality, data-driven advertising solutions at scale; Deliver end-to-end ML solutions; Achieve vision to become scaling engine for Internet economy
Industry & Context.
Proactively identifying and solving complex infrastructure challenges; Apply problem-solving skills
What They're Looking For.
Must Have
4+ years of experience in machine learning engineering, Proficiency in programming languages such as Python, Java, C++, or Rust, Hands-on experience with ML frameworks and libraries (e. g. , TensorFlow, PyTorch, Keras, Jax), Work with cloud platforms (e. g. , AWS, GCP, Azure) and containerization/orchestration tools (e. g. , Docker, Kubernetes), Build and maintain scalable data pipelines using tools like Apache Beam, Apache Spark, Airflow, or similar, Thrive in ambiguous environments, Collaborate effectively with cross-functional teams, Apply problem-solving skills and a growth mindset
Nice to Have
Experience with JAX and Rust, Experience with GPUs and TPUs
What You'll Do.
Drive development and optimization of ML infrastructure
Enhance performance and reliability of Ads product line
Empower teams to deliver ML solutions
and maintain ML infrastructure
Support large-scale ad serving
Support model training at global scale
Develop and optimize data pipelines
Optimize workflows for model deployment
Optimize workflows for model monitoring
Implement best practices for model versioning
Implement best practices for reproducibility
Implement best practices for CI/CD
Build and operate high performance ML systems
Optimize execution on GPUs
Optimize execution on TPUs
Troubleshoot ML systems
Improve reliability of ML systems
Improve scalability of ML systems
Improve performance of ML systems
Evaluate and integrate new tools
Evaluate and integrate new frameworks
Evaluate and integrate new technologies
Enhance ML platform capabilities
Integrate AI-driven agents
Automate engineering lifecycle
Contribute to design of experiments
Contribute to execution of experiments
Improve system performance
Document system architecture
Document best practices
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams—including data scientists, product managers, and software engineers; Collaborate proactively and inclusively; Involve the right people at the right time
Full Job Description
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 enables retailers and marketplaces 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, 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 As a Machine Learning Engineer focused on ML Infra, you will drive the development and optimization of scalable machine learning infrastructure, directly enhancing the performance and reliability of our Ads product line. Your work will empower teams to deliver high-quality, data-driven advertising solutions at scale. The Opportunity Design, build, and maintain robust machine learning infrastructure to support large-scale ad serving and model training at a global scale. Develop and optimize data pipelines and workflows for efficient model deployment and monitoring. Collaborate with cross-functional teams—including data scientists, product managers, and software engineers—to deliver
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