The Principal of Data Science will lead and scale data science, driving ad targeting, bidding strategies, and audience-building innovation. The primary focus will be leveraging data to create predictive models and algorithms that enhance ad personalization while maintaining user privacy. This role requires deep machine learning and data analytics expertise.

Pioneer advanced AI solutions that are transforming healthcare, collaborate closely with a talented team of PhD researchers, ML engineers, and healthcare experts to create models that directly enhance human efficiency and precision in complex operational workflows across the healthcare system. Empower healthcare professionals with tools that amplify their capabilities.

Join our ML team as a Machine Learning Scientist and NLP expert to build state-of-the-art speech and language models. You'll develop deep learning models, innovate in clinical problem-solving, collaborate with technical peers and clinical experts, and integrate machine learning into interdisciplinary solutions.

As a Senior Applied Scientist, you will work on various ML solutions, owning the process from requirements to product, with trust and input on data acquisition and strategy. Your work will impact millions of users, creating useful and remarkable outcomes within a small, multicultural team.

Lead the design and architecture of GNN and transformers based multi-entity embedding generation, actively participating in end-to-end implementation including enabling efficient distributed training and serving for such architectures, and shaping the future of recommendation systems at Reddit. Develop and optimize large-scale graph-based machine learning pipelines for recommendation systems.

We are seeking a highly skilled and motivated Machine Learning Engineer. You will design, implement, and deploy ML models that directly impact our product and customers, collaborating closely with cross-functional teams to drive data-driven decision-making and innovation.

Play a crucial role in applying AI models that can generate content leverage existing data to understand user behavior and preferences to provide insights to product development, identifying opportunities to use GenAI to address business challenges and performing large language models (LLMs) fine-tuning.

The role demands an individual with significant expertise in both traditional Machine Learning & newer Artificial Intelligence engineering and infrastructure, with an emphasis on Generative AI based systems. A thorough knowledge of public cloud platforms, specifically AWS, is crucial. This remote position calls for exceptional communication skills.

As a Senior Data Scientist, you will deepen our understanding of shopper behavior, build models to measure media impact, and develop AI systems that recommend products to shoppers based on their personal needs. You'll optimize data ingestion pipelines, aggregation processes, and performance metric tables. Responsibilities include performance reporting, AI recommendation engines, data infrastructure and ETL optimization, and A/B testing & ad-hoc analysis.

As a trusted advisor, collaborate with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs. Responsibilities include designing customer-centric solutions, building long-term relationships, delivering technical presentations, and collaborating with engineering and product teams.