Senior Machine Learning Engineer
Core
Designing and implementing ML and AI modules (LLMs, NLP, assistants, bots) for TradingView's financial analysis platform to help traders and investors make informed decisions.
Role type
Senior Machine Learning Engineer (AI/LLM focus)
Builds
AI assistants, customer support chatbots, intelligent data processing, generative AI features, recommender systems, spam detection, and search modules for a global financial platform.
Domain
Financial Technology (FinTech) / Artificial Intelligence / Natural Language Processing
Deliverable
production ML models | product features
Required skills
NLP, LLMs, AI assistants, traditional ML/NLP (classification, ranking, retrieval, semantic similarity), Python, Go, A/B testing, architectural decision-making, MLOps infrastructure management
Preferred skills
Real-time and high-load ML systems, open-source or self-hosted models, modern MLOps tools (MLflow, Airflow, Kubeflow), UX evaluation for AI interactions
Technologies
Python, Go, Docker, Kubernetes, CI/CD, Prometheus, Grafana, LLMs
Responsibilities
Designing and implementing ML/AI modules from prototyping to production; Building solutions based on LLMs and ML/NLP for data processing, generation, search, and automation; Evaluating approaches (external providers, open-source, self-hosted, traditional); Contributing to ML solution architecture; Preparing data, training models, running A/B tests; Monitoring and improving model performance; Collaborating with product managers and engineers; Working with MLOps infrastructure (CI/CD, monitoring, logging)
Seniority
Senior, hands-on IC