Machine Learning Infra SWE

About Moloco:

Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data— the same robust performance powered by machine learning has previously been unavailable beyond their platforms. 

That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale.

An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. Recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. In 2023, we received Google’s Cloud DevOps Dreamers Award, a recognition given to companies that are implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work! Check us out on Glassdoor and be sure to get an inside look at working at Moloco on Instagram, Twitter, and YouTube.

Moloco is headquartered in Silicon Valley, with offices in San Francisco, New York, Los Angeles, Seattle, London, Berlin, Seoul, Singapore, Beijing, Gurgaon, Bangalore, Tel Aviv and Tokyo.

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging will allow us the greatest opportunity to carry out our mission -- to empower businesses of all sizes to grow through operational machine learning.

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

How Do I Know if the Role is Right For Me?

• 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

Additional skills that are considered Nice To Have:

• 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