Senior Machine Learning Engineer, ML Efficiency

🕒 2 days ago

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• 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 rather than intuition-first debugging. • Build performance tooling, optimization playbooks, observability hooks, guardrails, or efficiency primitives that help more than one team or workload 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 the team gradually 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.

🎯 Requirements

• Deep ML systems experience close to real production models and workloads, not just generic infra exposure. • 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: can solve concrete bottlenecks while keeping maintainability, adoption, and future reuse in mind. • Strong communication: able to explain tradeoffs clearly to engineers and partner teams.

🏖️ 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