Top Machine Learning Jobs in Warsaw

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

You will design and optimize LLM-based machine learning solutions, focusing on natural language processing, deep learning methods, and inferencing pipelines.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

As a Product Manager for the Identity Platform, you will define product strategies, collaborate with technical teams, and ensure effective identity verification and fraud detection systems are built and maintained.

The Principal ML & AI Scientist will lead the development of AI and machine learning models to address business challenges, focusing on innovations in financial payments, while collaborating with cross-functional teams and automating predictive pipelines.

The Staff ML Scientist will drive AI research in payments data, focusing on machine learning innovations and collaborations to enhance Visa's products.

Lead a team of ML Engineers to develop and optimize ML systems, ensuring high-quality clinical care through AI. Foster collaboration across teams for innovative AI/ML features.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

Lead the AI compiler team to develop compilers for NextSilicon's platforms, leveraging expertise in large-scale compiler development and machine learning.

Design and optimize ML pipelines for healthcare, develop scalable AI solutions, ensure model performance, and collaborate with teams.

The Data Scientist will design advanced algorithms for generative AI models, analyze large datasets, and collaborate on AI advancements to enhance business processes.

As a Senior Data Scientist, you will design and deploy machine learning models, drive ML experiments, optimize data processes, and collaborate with engineering teams on data architecture.

The Sr. Analytics Manager will guide the analytics team, support strategic projects, and deliver insights through data storytelling and advanced analytics.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

The Staff ML Scientist will apply advanced AI and machine learning techniques to financial payments data, collaborating with teams to develop innovative products and solutions at Visa.

The Staff ML Scientist at Visa will develop AI products using machine learning techniques, collaborate with teams, and innovate using financial payment data.

The Staff ML Scientist will conduct AI research on financial payments data, develop machine learning models, and collaborate with teams to enhance products and address business challenges.

The Senior Product Manager - Capture leads AI-based invoice capture and validation, driving strategy and collaboration across teams to optimize document processing for accounts payable automation.

Develop and implement machine learning models for lead scoring, customer segmentation, and optimization, while collaborating across teams to drive data-driven strategies.

Join Snowflake's AI R&D team as a Software Engineering Intern, contributing to AI-powered products and collaborating on innovative projects. Gain experience in ML frameworks, distributed systems, and software development best practices.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

The Staff Machine Learning Scientist will lead product vision through innovation, overseeing the R&D lifecycle, mentoring junior team members, maintaining research standards, and advancing AI technology in conversational systems.

Lead high-scope AI and ML projects, focusing on Generative AI. Collaborate with cross-functional teams to design and implement solutions that enhance patient care.