3 months ago

Staff Machine Learning Engineer, Ads Content Understanding

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Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead the Commercial Content Understanding roadmap for Reddit’s Ads Monetization team, acting as technical owner for ACU signals and ML systems. Balance roughly 50% technical leadership and mentorship with 50% hands-on modeling, pipelines, and production system debugging to advance content understanding, signals, and in-house ML capabilities at Reddit scale.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Provide technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, acting as de facto tech lead for content understanding and signals: driving design reviews, setting technical standards, and uplifting the team’s modeling and systems craft.
•Develop evaluation systems and quality monitoring systems for content understanding signals, using SOTA LM-judge practices.
•Drive operational excellence for ACU’s ML systems by defining SLOs, alerting, and dashboards for key signals (coverage, latency, precision/recall, cost)
•Build and evolve content understanding capabilities for commercial conversations and operationalize them as robust signals that power contextual and shopping ads, auto-targeting, new formats, and insights products.
•Lead design and implementation of signals pipelines and produce an ACU signals registry. Partner with platform teams and other content understanding teams to ensure efficient, reliable serving at Reddit scale.

Pay and Benefits

Salary: USD 230,000 - 322,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kParental LeaveTime Off

Key Requirements

•7+ years of relevant MLE experience delivering production ML systems (models + pipelines + serving) at scale, ideally in large-scale content understanding domains, or Ads.
•Demonstrated Staff-level technical leadership: has driven architecture decisions, standards, and design reviews across multiple teams, and has aligned PMs, DSs, and engineers on shared ML systems or platforms without direct people-management authority.
•Excellent communication skills, with the ability to explain complex technical trade-offs to PMs, DSs, and other engineering teams, especially in ambiguous, cross-team problem spaces like Seekers/Searchers monetization.
•Strong track record building and shipping NLP / Language models / content understanding models to production with clear business outcomes (e.g., CTR/ROAS uplift, safety improvements).
•Practical experience using LLMs in production for labeling, evaluation, or distillation, including managing quality, cost, and latency trade-offs.

Experience:7+ yearsAdsContent understandingNLPML at scale

Skills:CommunicationLeadershipProblem-solvingPythonPyTorchTensorFlowLLMsMLOpsGoJavaC++

Languages:English

Tech Stack:PythonPyTorchTensorFlowLLMsGoJavaC++MLOpsPipelinesOnline serving

Company Brief

Operates Reddit, a large online community and discussion platform where users submit content, comment, and vote across topic-based communities (subreddits); monetizes via advertising, premium subscriptions, and awards.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2005

Website LinkedIn

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