Note: The job is a remote job and is open to candidates in USA. Reddit, Inc. is a community-driven platform built around shared interests, conversation, and trust, serving millions of daily visitors through a large network of communities. The Senior Machine Learning Engineer will design, build, deploy, and operate large-scale production machine learning systems spanning recommendations, search, advertising, content and user understanding, and LLM-powered experiences. The role owns the full ML lifecycle, develops scalable pipelines and infrastructure, partners cross-functionally, and advances ML strategy and system performance.
Responsibilities
- Design, build, and deploy production-grade machine learning models and systems at scale
- Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
- Build scalable data and model pipelines with strong reliability, observability, and automated retraining
- Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
- Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
- Improve system performance across latency, throughput, and model quality metrics
- Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment
- Contribute to technical strategy, architecture, and long-term ML roadmap
Skills
- * 3-5+ years of experience building, deploying, and operating machine learning systems in production
- * 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)
- * Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
- * Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
- * Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
- * Experience improving measurable metrics through applied machine learning
- * Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
- * 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
- * Advanced degree in Computer Science, Machine Learning, or related quantitative field
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
- Equity in the form of restricted stock units
- Depending on the position offered, eligibility to receive a commission
- Medical, dental, and vision insurance
- 401(k) program with employer match
- Generous time off for vacation, and parental leave
Company Overview
Company H1B Sponsorship