Senior Machine Learning Engineer, ML Efficiency
R
Reddit, Inc.Tech-Ads Engineering
Remote - United StatesFull-TimeSenior
Salary$216,700 — $303,400 USD
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Job Details
- Required Skills
- Machine LearningPyTorch
Requirements
- Deep ML systems experience close to real production models and workloads.
- Direct hands-on experience improving training or serving efficiency with measurable outcomes.
- Strong technical judgment across model-level, runtime-level, and infrastructure-level optimization choices.
- Ability to own complex projects end to end and collaborate effectively across team boundaries.
- Good customer and platform instincts with a focus on maintainability and future reuse.
- Strong communication skills with the ability to explain tradeoffs to engineers and partners.
- Experience with GPU training or serving migrations (nice-to-have).
- Experience with PyTorch, distributed training frameworks, or kernel/runtime optimization (nice-to-have).
- Experience building launch certification, efficiency benchmarking, or cost observability systems (nice-to-have).
- Experience with model compression techniques like quantization, pruning, distillation, or checkpoint optimization (nice-to-have).
Responsibilities
- Independently own high-value optimization initiatives across training, inference, or launch-readiness for important Ads ML workloads.
- Diagnose bottlenecks in real production systems using profiling, benchmarking, and observability.
- Build performance tooling, optimization playbooks, observability hooks, guardrails, or efficiency primitives.
- Improve launch-safety and efficiency readiness by contributing to load testing, fallback readiness, latency and cost visibility, and operational confidence.
- Work with model owners and platform teams to land pragmatic fixes while standardizing repeated solutions.
- Contribute to 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.
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