Senior Machine Learning Engineer

<p><span>TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.</span></p><p style="text-align:justify;"><span>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.</span></p><p style="text-align:justify;"><span>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.</span></p><h5 style="text-align:justify;"><span><strong>

About

the team</strong></span></h5><p style="text-align:justify;">We develop and implement machine learning and AI solutions across a range of products: AI assistants, customer support chatbots, intelligent data processing, generative AI features, recommender systems, spam detection, search and other ML-powered modules.</p><p>Our goal is to build reliable ML and AI systems that solve real product problems — from experimentation and prototyping to production integration and continuous improvement.</p><h5 style="text-align:justify;"><span><strong>

Responsibilities</strong></span></h5><ul><li><p>Designing and implementing ML and AI modules for various products, from experimentation and prototyping to production integration</p></li><li><p>Building solutions based on LLMs and other ML/NLP approaches for data processing, generation, search, assistants, bots, agents and automation</p></li><li><p>Choosing and evaluating appropriate approaches — including external AI providers, open-source or self-hosted models, as well as traditional ML/NLP methods</p></li><li><p>Contributing to the architecture of ML solutions, shaping technical approaches and engineering standards</p></li><li><p>Preparing and processing data, training models, running A/B tests, and analyzing results</p></li><li><p>Monitoring and improving model performance, interpreting model behavior and key metrics</p></li><li><p>Evaluating AI-system quality, analyzing failure cases and improving models, prompts, data and system architecture</p></li><li><p>Collaborating with product managers, engineers, and analysts to clarify

requirements, integrate solutions, and evaluate their impact</p></li><li><p>Working with MLOps infrastructure: CI/CD, monitoring, logging, containerization<br></p></li></ul><h5><span><strong>What makes you the perfect fit</strong></span></h5><ul><li><p><span>3+ years of experience in ML engineering and building production-ready ML systems</span></p></li><li><p>Strong practical expertise in NLP, LLMs, AI assistants and related AI/ML areas</p></li><li><p>Experience with both modern LLM-based systems and traditional ML/NLP approaches such as classification, ranking, retrieval, semantic similarity and information extraction</p></li><li><p>Strong track record of delivering end-to-end ML solutions — from idea and data to production and support</p></li><li><p>Proficient Python/Go skills and experience with production-grade development</p></li><li><p>Experience evaluating ML/AI solutions and understanding their quality, reliability, latency and cost trade-offs</p></li><li><p>Solid knowledge of A/B testing and result interpretation</p></li><li><p>Experience in architectural decision-making and a drive to improve engineering practices</p></li><li><p>Familiarity with tools like Docker, Kubernetes, CI/CD systems, monitoring (e.g. Prometheus, Grafana), and logging</p></li></ul><h5><span><strong>Will be a plus</strong></span></h5><ul><li><p style="text-align:justify;">Product-oriented mindset and understanding of business metrics</p></li><li><p>Experience building real-time and high-load ML systems</p></li><li><p>Experience with open-source or self-hosted models</p></li><li><p>Familiarity with modern MLOps tools (e.g. MLflow, Airflow, Kubeflow)</p></li><li><p>Experience evaluating the UX of AI-driven interactions</p></li></ul><h5 style="text-align:justify;"><span><strong>What we offer you</strong></span></h5><ul><li><p style="text-align:justify;"><span>Flexible working hours and a hybrid work format</span></p></li><li><p style="text-align:justify;"><span>Well-equipped offices for focused and collaborative work</span></p></li><li><p style="text-align:justify;"><span>A global, distributed team of 500+ professionals</span></p></li><li><p style="text-align:justify;"><span>Learning, mentorship, and long-term career growth</span></p></li><li><p style="text-align:justify;"><span>Relocation support and private health insurance</span></p></li><li><p style="text-align:justify;"><span>Performance-based bonuses</span></p></li><li><p style="text-align:justify;"><span>TradingView Premium access</span></p></li><li><p style="text-align:justify;"><span>Regular team events and company-wide meetups</span></p></li></ul><p></p><p style="text-align:justify;"><span>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!</span></p><p></p><p><em>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. </em><br></p>