Machine Learning Engineer

TradingView is the world’s #1 platform for all things investing. 100M+ users trust us to inform their trading decisions. Want to make an impact? Apply now — help shape the future of finance.

Hi! My name is Vitalik, and I’m the Team Lead of the Core ML team. We develop and implement machine learning solutions for various products, including recommendation systems, AI assistants, customer support chatbots, spam filters, and other intelligent modules. Our goal is to build a universal ML infrastructure that helps the business interact with users more effectively, automate processes, and maintain high service quality.

Responsibilities

• Design and develop ML modules for various products — from experimentation and prototyping to production integration

• Participate in ML solution architecture, define technical approaches, and establish engineering standards

• Prepare and process data, train models, conduct A/B tests, and analyze results

• Monitor and improve model quality, interpret model behavior and key metrics

• Collaborate with product managers, engineers, and analysts to clarify requirements, integrate solutions, and evaluate their effectiveness

• Work with MLOps infrastructure: CI/CD, monitoring, logging, and containerization

What makes you the perfect fit

• 3+ years of experience in ML engineering and building production-grade machine learning systems

• Strong expertise in NLP, LLMs, AI assistants, spam detection, behavioral analysis, and related areas

• Proven experience delivering end-to-end ML solutions — from idea and data preparation to production deployment and ongoing support

• Excellent Python skills and experience in industrial software development

• Strong understanding of A/B testing principles and result analysis

• Experience making architectural decisions and driving engineering best practices

• Hands-on experience with Docker, Kubernetes, CI/CD systems, monitoring tools (e.g. Prometheus, Grafana), and logging solutions

• Will be a plus: Product mindset and understanding of business metrics

• Experience building real-time and high-load ML systems

• Familiarity with modern MLOps tools such as MLflow, Airflow, and Kubeflow

What we offer you

• Flexible working hours and a hybrid work format

• Well-equipped offices for focused and collaborative work

• A global, distributed team of 500+ professionals

• Learning, mentorship, and long-term career growth

• Relocation support and private health insurance

• Performance-based bonuses

• TradingView Premium access

• Regular team events and company-wide meetups

Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!

TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.