Machine Learning Infra SWE, New Grad

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Job Summary:

Moloco is a machine learning company that empowers organizations to grow through operational machine learning. They are seeking a Machine Learning Infrastructure Engineer to build foundational systems that support ML teams, ensuring reliable data training and deployment of models.

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

Qualifications:

Required:

• 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

Preferred:

• 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

Company:

Moloco offers programmatic advertising solutions to help optimize the client's acquisition, retention, and monetization campaigns. Founded in 2013, the company is headquartered in Redwood City, California, USA, with a team of 501-1000 employees. The company is currently Late Stage.