Responsibilities
• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle from problem definition to deployment and monitoring
• Build scalable data and model pipelines with reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, and optimization systems
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams
• Research and apply state-of-the-art ML techniques, including deep learning, transformers, and LLMs

Requirements
• 3-5+ years building, deploying, and operating ML systems in production
• Strong programming skills in Python, Java, Go, or similar languages
• Strong grasp of ML algorithms from statistical learning to deep learning architectures
• Hands-on experience with PyTorch, TensorFlow, or similar frameworks
• Experience designing scalable ML pipelines and model serving infrastructure

Preferred
• Experience with recommender systems, search/ranking, or advertising systems
• Familiarity with distributed systems (Spark, Kafka, Ray, Airflow)
• Experience with LLM techniques, including fine-tuning, RAG, and alignment
• Advanced degree in Computer Science or Machine Learning

How to Apply
Click "Apply" to be taken to the Reddit website. Benefits include comprehensive healthcare, 401 (k) with employer match, flexible vacation, paid parental leave, and equity in the form of restricted stock units.