Senior Staff Machine Learning Systems Engineer, Ads ML Platform
RedditSocial Media company
Remote$292,500 - $409,500 USDLead
Fidelity Investments
Andreessen Horowitz
Sequoia Capital
Coatue
Vy Capital
Sam Altman
Data & AINew
About the role
TL;DR
Lead technical strategy for Ads ML engineer lifecycle, accelerating ML systems and tooling.
- •Reddit is seeking a Senior Staff Machine Learning Systems Engineer to lead the technical strategy for the Ads ML engineer lifecycle.
- •This role focuses on accelerating ML systems and tooling for Ads ML, with potential to extend to broader Reddit ML use cases.
- •Key Responsibilities Own the technical strategy for the end-to-end Ads ML engineer lifecycle, focusing on feature development, training data, and experimentation workflows.
- •Align Ads ML platform priorities with Reddit's broader ML Platform vision, translating Ads pain points into reusable platform capabilities.
- •Define architecture and technical standards for ML feature and training-data systems.
- •Build platform abstractions and workflow automation to improve ML development velocity.
- •Requirements 8+ years of experience in infrastructure, distributed systems, ML platforms, data platforms, or large-scale backend systems. 4+ years building or operating production ML infrastructure, feature platforms, training data systems, or experimentation systems.
- •Experience leading broad, ambiguous, multi-team platform initiatives from strategy through adoption.
- •Deep experience in ML platform, feature platform, training data, experimentation, or distributed data infrastructure.
- •Experience with distributed data and compute systems such as Spark, Flink, Kafka, Ray, Airflow, Kubernetes, BigQuery, Snowflake, Databricks, or similar technologies.
Required skills
PythonSparkKubernetesAWSGoogle CloudAzureTerraformDockerCI/CDMLflowKubeflowSageMakerVertex AITensorFlowPyTorch
Nice-to-have skills
scikit-learnKerasSQLBashAirflowBigQuerySnowflake
Domain expertise
adtech
Benefits & perks
Comprehensive Healthcare Benefits and Income Replacement Programs, 401k with Employer Match, Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, Family Planning Support, Gender-Affirming Care, Mental Health & Coaching Benefits, Flexible Vacation & Paid Volunteer Time Off, Generous Paid Parental Leave
Tech stack
PythonSparkKubernetesAWSGoogle CloudAzureTerraformDockerCI/CDMLflowKubeflowSageMakerVertex AITensorFlowPyTorchscikit-learnKerasSQLBash