Senior ML Efficiency Engineer - Training & Inference

Embedded Shishya; United States; Remote; USD 216,700 - 303,400; Full time

Benefits offered by this job

Comprehensive Healthcare and benefits

401k with employer match

Generous time off

Parental leave

Job summary

Reddit is seeking a senior ML engineer to join the Ads ML Efficiency team. You will own optimization initiatives across training, inference, and launch-readiness for high-value workloads and partner with ranking, serving, and ML Platform teams to land measurable efficiency gains.

You will diagnose production bottlenecks using profiling and observability, build tooling and guardrails, and mentor junior engineers while advancing reusable solutions across multiple workloads.

Qualifications

• Deep ML systems experience close to real production models and workloads.
• Hands-on experience improving training or serving efficiency with measurable outcomes.
• Strong technical judgment across model-, runtime-, and infrastructure-level optimization choices.
• Ability to own complex projects end to end and collaborate effectively across team boundaries.

Responsibilities

• Independently own high-value optimization initiatives across training, inference, or launch-readiness for Ads ML workloads.
• Diagnose bottlenecks in real production systems using profiling, benchmarking, and observability rather than intuition-first debugging.
• Build performance tooling, optimization playbooks, observability hooks, guardrails, or efficiency primitives that help more than one team over time.
• Improve launch-safety and efficiency readiness by contributing to load testing, fallback readiness, latency and cost visibility, and operational confidence for heavy models.
• Work with model owners and platform teams to land pragmatic fixes while helping standardize repeated solutions.
• Contribute to the team’s technical direction by surfacing patterns, tradeoffs, and opportunities for reuse or automation.
• Mentor less-experienced engineers through code, debugging, measurement rigor, and strong execution habits.

Skills

ML systems

Optimization

End-to-end ownership

Customer instincts

Strong communication

Team collaboration

Job description

Reddit is seeking a senior ML engineer to join the Ads ML Efficiency team. You will own optimization initiatives across training, inference, and launch-readiness for high-value workloads and partner with ranking, serving, and ML Platform teams to land measurable efficiency gains.

You will diagnose production bottlenecks using profiling and observability, build tooling and guardrails, and mentor junior engineers while advancing reusable solutions across multiple workloads.