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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Staff Data Scientist, AI/ML”. A match may be a passing mention rather than the job itself. Titles only.
295 roles across 332 listings · show every listing · page 3 of 12
…You should understand the security and compliance requirements for ML/GenAI implementations. You must have experience with LangChain, LLAMAIndex, Data Augmentation, Responsible AI, and…
…Bonus if you have: - Experience with Delta Lake/Iceberg, AWS, or Databricks. - Contributed to open-source streaming or infrastructure tooling. - Experience supporting ML/AI…
Amazon Web Services (AWS) is assembling an elite team of world-class scientists and engineers to pioneer the next generation of AI-driven development…
…STAFF DATA SCIENTIST, FINANCE About the Team The Finance Data Science team builds the forecasting and decision systems that power Snowflake's financial planning…
We are looking for a Senior Applied Scientist to help drive the research and development of real-time multimodal conversational AI. You will contribute…
…Mentor the scope of work for other data scientists, demonstrating high-quality output of both yourself and others for whom you mentor. What we…
…large-scale customer data to model how customers respond to change. • Design and prototype agentic AI systems and other novel ML approaches and research…
…We're looking for a Data Scientist to help us design the experiments that ground our models in reality, evaluate the AI systems we…
…Extensive experience working with data and recipes for large scale foundation models ML infra experience: training, evaluating and deploying ML models at scale Deep…
…our AI interview philosophy and how we use AI in our recruiting process here . We are looking for a Staff Data Scientist for our…
We are looking for a Principal Applied Scientist to drive the research and development of real-time multimodal conversational AI. You will operate across…
…act as the primary technical voice in cross-functional design reviews with Research Scientists, Product, Data Engineering, MLOps, and Search Infrastructure teams. Unblock the…
…You can read more about our AI interview philosophy and how we use AI in our recruiting process here . At Pinterest Labs , you'll…
…PhD in ML or related in AI/CS, or MSc with a strong academic publication record Strong statistical / ML knowledge Proficiency in Python 3…
…Partner closely with product managers, engineers, data scientists, and designers to define and execute experimentation strategies. Drive A/B testing, monitoring, model evaluation, and…
…We are an Applied ML team pushing the limits of question answering, assistant response ranking, and search technologies, while also responsible for a production…
…your AI/ML models. • Run A/B experiments, gather data, and perform statistical analysis. • Establish scalable, efficient, automated processes for large-scale data analysis…
The Data Processing Agents science team is looking for a passionate, inventive Applied Scientist with a strong background in agentic AI/ML applied to…
The Data Processing Agents science team is looking for a passionate, inventive Applied Scientist with a strong background in agentic AI/ML applied to…
…We're re-inventing the entire advertising experience using generative AI, large language models, and next-generation ML. From the moment a brand crafts…
…What you’ll do Own the path from ML idea to production: run structured discovery with ML engineers and data scientists, prioritize platform investments…
ABOUT LIQUID AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators…
…the flexibility to support future capabilities like Conversational AI. - Integrate Intelligent Interventions: Partner with ML scientists to architect systems that integrate proprietary models into…
…enable seamless collaboration between technical teams building AI/ML models, product managers defining requirements, data scientists and economists providing insights, and business stakeholders across…
…They will lead a team of 6 to 10 data scientists spanning staff to junior levels, with a mandate to coach, develop, and grow…