Senior ML Platform Engineer, Ads (Remote)

Nerdleveltech; Northern (KY); Hybrid; USD 217,000 - 303,000; Full time

Benefits offered by this job

Comprehensive Healthcare Benefits and

401k with Employer Match

Global Benefit programs

Family Planning Support

Gender‑Affirming Care

Mental Health & Coaching Benefits

Flexible Vacation & Paid VolunteerTime

Generous Paid Parental Leave

Job summary

Reddit is seeking a senior engineer to build and scale data infrastructure for feature management and ML workflows. You’ll design batch and real-time systems, ensure governance, and collaborate with ML teams to productionize features.

You’ll contribute to architecture, reliability, and cost efficiency while advancing ads ranking and optimization platforms at scale. This role emphasizes remote-friendly work in a flexible, global environment.

Qualifications

• 5+ years in infrastructure/platform engineering or large-scale distributed systems.
• 2+ years building or operating ML platform infrastructure and production ML systems.
• Proficiency with large-scale feature computation frameworks (Spark, PySpark, or Scala).
• Expertise in distributed systems (scaling, partitioning, fault tolerance, caching).
• Experience with ML infrastructure and MLOps workflows spanning feature engineering, training pipelines, experimentation, model deployment, and online serving is a plus.

Responsibilities

• Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage.
• Develop frameworks for batch and real-time features with a focus on reliability, scalability, and ease of use.
• Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning
• Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems.
• Build systems that support agentic ML workflows, including automated feature discovery, feature quality evaluation and feature lifecycle management
• Drive architecture and technical direction for high-scale ML platform infrastructure powering ads ranking, targeting, and optimization systems.
• Contribute to operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives.

Skills

Senior infra/platform engineering

ML platform experience

Spark / PySpark / Scala

Distributed systems

Automation / ML workflows

Tools

Spark

PySpark

Scala

Job description

Reddit is seeking a senior engineer to build and scale data infrastructure for feature management and ML workflows. You’ll design batch and real-time systems, ensure governance, and collaborate with ML teams to productionize features.

You’ll contribute to architecture, reliability, and cost efficiency while advancing ads ranking and optimization platforms at scale. This role emphasizes remote-friendly work in a flexible, global environment.