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Senior Machine Learning Engineer, ML Efficiency

1 hour, 25 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Machine Learning PyTorch
Apply Now
Reddit

Reddit

Reddit is a diverse network of communities where users engage in content creation, voting, and discussions on a wide range of topics.

Internet Software & Services
1K-5K
Founded 2005
$550M raised
View All Jobs 24

Description

  • Own high-value optimization initiatives across training, inference, and launch-readiness for Ads ML workloads.
  • Diagnose bottlenecks in real production systems using profiling, benchmarking, and observability.
  • Build performance tooling, optimization playbooks, observability hooks, guardrails, and reusable efficiency primitives.
  • Improve launch safety and efficiency readiness through load testing, fallback readiness, latency and cost visibility, and operational confidence.
  • Partner with model owners and platform teams to land pragmatic fixes and standardize repeated solutions.
  • Surface technical patterns, tradeoffs, and opportunities for reuse or automation to shape team direction.
  • Mentor less-experienced engineers through code reviews, debugging, measurement rigor, and execution habits.

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 across team boundaries.
  • Strong communication skills to explain tradeoffs clearly to engineers and partner teams.
  • Good customer and platform instincts with a focus on maintainability, adoption, and future reuse.
  • Experience with GPU training or serving migrations (preferred).
  • Experience with PyTorch, distributed training frameworks, or kernel/runtime optimization (preferred).
  • Experience building launch certification, efficiency benchmarking, or cost observability systems (preferred).
  • Experience with model compression or deployment optimizations such as quantization, pruning, distillation, or checkpoint optimization (preferred).

Benefits

  • Base salary range of $216,700 to $303,400 USD.
  • Eligibility for equity in the form of restricted stock units.
  • Possible commission eligibility depending on the position offered.
  • Comprehensive healthcare benefits, including medical, dental, and vision insurance.
  • 401(k) program with employer match.
  • Flexible vacation and paid volunteer time off.
  • Global benefit programs supporting professional development and caregiving.
  • Family planning support, gender-affirming care, and mental health & coaching benefits.
  • Generous paid parental leave.

Interested in this position?

Apply directly on the company website

Apply Now

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