Machine Learning Engineer

🕒 May 5

🇺🇸 United States – Remote

💵 $185.8k - $260.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 39%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Design, build, and deploy production-grade machine learning models and systems at scale • Develop personalized recommendations, search, ranking, advertising, marketplace, content understanding, and user understanding systems • Build large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems • Develop applied AI and LLM-driven experiences improving relevance, discovery, and user engagement • Own the full ML lifecycle from problem definition and feature engineering through training, evaluation, deployment, and monitoring • Build scalable data and model pipelines with reliability, observability, and automated retraining • Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems • Partner with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions • Improve latency, throughput, and model quality metrics • Research and apply state-of-the-art machine learning and AI techniques • Contribute to technical strategy, architecture, and the long-term ML roadmap

🎯 Requirements

• 3-5+ years of experience building, deploying, and operating machine learning systems in production • Strong programming skills in Python, Java, Go, or similar languages • Solid software engineering fundamentals • Strong grasp of machine learning algorithms, including XGBoost, Random Forests, regressions, Transformers, CNNs, and GNNs • Hands-on experience with modern ML frameworks such as PyTorch and TensorFlow • Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure • Ability to translate ambiguous product or business problems into technical solutions • Experience improving measurable metrics through applied machine learning • Preferred: experience with recommender systems, search/ranking systems, advertising/auction systems, representation learning, or multimodal embedding systems • Preferred: familiarity with distributed systems and large-scale data processing tools such as Spark, Kafka, Ray, Airflow, BigQuery, and Redis • Preferred: experience with real-time systems and low-latency production environments • Preferred: background in feature engineering, model optimization, and production monitoring • Preferred: experience with LLM/Gen AI techniques, including LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems, and productionizing LLM-powered products • Preferred: advanced degree in Computer Science, Machine Learning, or a related quantitative field

🏖️ Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs including workspace, professional development, and caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave • Equity in the form of restricted stock units • Potential commission eligibility, depending on the position offered • Medical, dental, and vision insurance • Opportunity to opt out of interview recording, transcription, and summarization • Reasonable accommodations for qualified individuals with disabilities and disabled veterans