Note: The job is a remote job and is open to candidates in USA. Reddit is a community platform built on shared interests, passion, and trust. The Senior Staff Machine Learning Systems Engineer will lead the technical strategy for the end-to-end Ads ML engineer lifecycle, initially focusing on feature development, training data, offline experimentation, and model iteration, while partnering across teams to build scalable and reliable ML platform capabilities.
Responsibilities
- 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
- Align Ads ML platform priorities with Reddit’s broader ML Platform vision, translating Ads pain points into reusable platform capabilities where appropriate
- 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
- Over time, extend the platform strategy into serving and online experimentation workflows, creating a more seamless offline-to-online ML development experience
- Partner across Ads, ML Platform, Data Platform, modeling, product, and engineering teams to clarify ownership, resolve ambiguity, and drive durable execution
- Mentor Staff and senior engineers, raise the architecture and operational bar, and help grow the next generation of technical leaders
Skills
- You have 8+ years of experience in infrastructure, distributed systems, ML platforms, data platforms, or large-scale backend systems
- You have 4+ years building or operating production ML infrastructure, feature platforms, training data systems, experimentation systems, or large-scale data pipelines
- You have led broad, ambiguous, multi-team platform initiatives from strategy through adoption
- You have built platforms used directly by ML engineers, data scientists, or product teams developing production ML systems
- You have deep experience in ML platform, feature platform, training data, experimentation, developer infrastructure, or distributed data infrastructure
- You have worked with distributed data and compute systems such as Spark, Flink, Kafka, Ray, Airflow, Iceberg, Kubernetes, BigQuery, Snowflake, Databricks, or similar technologies
- You can balance urgent customer needs with durable long-term architecture and reusable platform patterns
- You influence senior engineers and leaders through clear technical reasoning, RFCs, design reviews, decision frameworks, and operating mechanisms
- You are excited to shape how production ML systems are built, scaled, and operated, not only how models are trained
Benefits
- 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
- Equity in the form of restricted stock units
- Commission, depending on the position offered
- Medical, dental, and vision insurance
- 401(k) program with employer match
- Generous time off for vacation
- Parental leave
- Flexible workforce: employees near physical office locations may come into the office as often as they like, while employees who do not live near an office may work remotely in any country where Reddit has a physical presence
Company Overview
Company H1B Sponsorship