Senior Machine Learning Engineer (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Senior Machine Learning Engineer (AI): Designing and building production ML systems for recommendations, search, and advertising at internet scale with an accent on end-to-end ML lifecycles and LLM-driven experiences. Focus on improving ranking, relevance, and monetization through deep learning and large-scale data pipelines.
Location: Remote (Ontario, Canada)
Company
Reddit is a community-driven platform for open and authentic conversations across 100,000+ active communities.
What you will do
- Design and deploy production-grade ML models for personalized recommendations and search ranking.
- Build scalable data and model pipelines with high reliability and automated retraining.
- Develop intelligent advertising systems, including bidding, measurement, and optimization.
- Research and apply state-of-the-art techniques, including Transformers, GNNs, and LLM alignment.
- Collaborate cross-functionally with Product, Data Science, and Engineering teams to translate business problems into technical solutions.
Requirements
- 3-5+ years of experience operating machine learning systems in production.
- Proficiency in Python, Java, or Go with solid software engineering fundamentals.
- Strong grasp of ML algorithms, from XGBoost and Random Forests to DL architectures (Transformers, CNNs, GNNs).
- Hands-on experience with PyTorch or TensorFlow.
- Must be based in Ontario, Canada.
Nice to have
- Experience with recommender systems, search/ranking, or advertising/auction systems.
- Familiarity with distributed systems and data processing tools like Spark, Kafka, Ray, Airflow, or BigQuery.
- Expertise in LLM/Gen AI techniques, including RAG, fine-tuning, and knowledge distillation.
- Advanced degree in Computer Science, Machine Learning, or a related quantitative field.
Culture & Benefits
- Comprehensive healthcare benefits and income replacement programs.
- 401k with employer match.
- Flexible vacation and paid volunteer time off.
- Generous paid parental leave and family planning support.
- Mental health, coaching benefits, and gender-affirming care.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β