Senior Software Engineer, Machine Learning
Core
Design and own a cloud-native big data and ML platform handling audience data for millions of attendees and billions of interactions, enabling event marketers to engage audiences with precision.
Role type
Senior Data Engineer (ML Platform & Infrastructure)
Builds
Cloud-native data platform, ML infrastructure (feature stores, training pipelines, model serving), and agentic systems for data enrichment and classification.
Domain
Event marketing technology, big data, machine learning
Deliverable
production ML models
Required skills
Python, distributed systems, MLOps, feature engineering, LLMs and agentic systems, data product ownership
Preferred skills
SaaS or event-driven product background, end-to-end data platform re-architecture
Technologies
Python, Django, Clickhouse, MySQL, MongoDB, ElasticSearch, Redshift, Airflow, Dagster, pandas, scikit-learn, PyTorch, TensorFlow
Responsibilities
Design and own the data platform infrastructure; build ML infrastructure from experiment to production; drive the full data pipeline from capture to denormalization; build LLM-powered pipelines and autonomous agents; define SLAs and ensure data health for internal teams and customers.
Seniority
Senior, hands-on IC