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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. TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team: Hi! My name is Grisha, I’m an ML Unit Lead. We’re currently looking for a Team Lead to join our team. Our team is focused on building and developing products related to news content processing, including sentiment analysis, named entity recognition (NER), classification, search, text generation, and recommendation systems.
Job Responsibility:
Develop and enhance projects related to news processing (sentiment analysis, NER, classification, search, etc.)
Perform data analysis and preprocessing, prepare datasets, and build model pipelines
Design monitoring systems and evaluate the performance of ML systems
Lead a team of ML engineers working on NLP and LLM projects (news, content generation, recommendations, search, and chat systems)
Set tasks, prioritize work, manage deadlines, and ensure timely delivery
Collaborate with product and analytics teams to align goals and approaches
Support the technical growth of the team through mentoring, reviewing solutions, and assisting in system design
Improve development and deployment processes for ML solutions in production
Contribute to engineering efforts as a senior developer: design and implement key components, perform code reviews, and drive technical improvements
Requirements:
2+ years of experience in managing technical teams with the ability to organize workflows and build effective processes
Deep understanding of the ML project lifecycle: from idea and prototype to production and maintenance
Strong knowledge of NLP/LLM technologies: text generation and classification, embeddings, RAG, and other modern techniques
Excellent communication skills and experience working with various teams (ML, backend, QA, product, analytics)
Ability to define and maintain roadmaps and make system-level engineering decisions
Experience in prioritization, risk assessment, and managing technical debt
Proficiency in Python and modern development tools (Git, CI/CD, Docker, Kubernetes)
Experience in operating ML systems in production (monitoring, metrics, A/B testing, incident handling)
Nice to have:
Experience in finance, news, content, or chat assistant domains
Understanding of model and product quality metrics
Experience in building and scaling MLOps processes
Product-oriented thinking and ability to evaluate the business value of technical solutions
Experience in hiring and onboarding new team members
What we offer:
Flexible working hours and a hybrid work format
Well-equipped offices for focused and collaborative work