jobapplier

Machine Learning Engineer

Reddit

Skills

Required

  • machine learning
  • ML
  • Transformers
  • data processing
  • feature engineering
  • LLM evaluation
  • PyTorch
  • TensorFlow
  • Python
  • Java
  • Go
  • Spark
  • Kafka
  • Airflow
  • BigQuery

Preferred

  • recommender systems
  • search/ranking systems
  • advertising/auction systems
  • representation learning / multimodal embedding systems
  • evaluation
  • deployment
  • monitoring
  • AI

Join Reddit as a Machine Learning Engineer and work on high-impact problems across the platform. You will design and build production ML systems that power personalized recommendations, intelligent advertising systems, and large-scale machine learning pipelines. You will own the full ML lifecycle, work with large-scale datasets, and partner cross-functionally with various teams. This role offers comprehensive health benefits, flexible vacation, family planning funds, and personal and professional development funds.

Design and build production ML systems that power core experiences across the platform, including personalized recommendations, search, and ranking systems.

If you love working on complex, real-world ML problems at massive scale, this role is for you

About Reddit

We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit

Responsibilities

  • Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring.
  • Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment.

Requirements

  • Experience improving measurable metrics through applied machine learning
  • Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
  • 3-5+ years of experience building, deploying, and operating machine learning systems in production
  • Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
  • Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
  • Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
  • ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
  • Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
  • Experience working with real-time systems and low-latency production environments
  • Background in feature engineering, model optimization, and production monitoring
  • Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale

Preferred

  • Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
  • Advanced degree in Computer Science, Machine Learning, or related quantitative field

Pay

USD 185,800 - 260,100

Every job at Reddit