Senior+ Applied Scientist
Samsara👥 1001 - 5000 employees🏢 Computer Software
As a Senior Applied Scientist, you will develop and optimize machine learning and computer vision models to enhance Samsara's product offerings and drive real-world impact.
Senior Staff Machine Learning Systems Engineer, Ads ML Platform
🕒 yesterday
Machine LearningInfrastructureDistributed SystemsML Platforms
📜 Description
- Own the technical strategy for the end-to-end Ads ML engineer lifecycle, starting with feature development, training data, offline experimentation, and model iteration workflows.
- Define architecture and technical standards for ML feature and training-data systems across batch/streaming computation, backfills, lineage, quality, observability, and online/offline consistency.
- Stay close to ML engineers and platform customers to identify high-leverage friction points and improve day-to-day development velocity.
- Build platform abstractions and workflow automation that make ML development faster, safer, more reliable, and more self-service.
- Extend the platform strategy into serving and online experimentation workflows, creating a more seamless offline-to-online ML development experience.
🛠️ 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, experimentation systems, or large-scale data pipelines.
- Experience leading broad, ambiguous, multi-team platform initiatives from strategy through adoption.
- Built platforms used directly by ML engineers, data scientists, or product teams developing production ML systems.
- Deep experience in ML platform, feature platform, training data, experimentation, developer infrastructure, or distributed data infrastructure.
- Familiarity with distributed data and compute systems such as Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery, Snowflake, Databricks, or similar technologies.
✨ Benefits
- Comprehensive Healthcare Benefits
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Align Ads ML platform priorities with Reddit's broader ML Platform vision, translating Ads pain points into reusable platform capabilities where appropriate.
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