Machine learning, AI, generative AI, LLM and applied-science roles.
18 jobs found · AI & Machine Learning
San Francisco Bay AreaNorth America
This role works at the intersection of applied research, quality, and product engineering to make those systems better. It also means bringing emerging research into the…
Mountain View, CANorth America
Glean’s Enterprise Brain team builds applied ML systems that help Glean understand a user’s work and anticipate useful next steps, including task prediction and…
Mountain View, CA; San Francisco, CANorth America
As the Tech Lead Manager of AI Evaluations, you will lead a team of applied AI scientists and engineers and build the evaluation strategy and platform that helps Glean…
Mountain View, CA; San Francisco, CANorth America
Glean is building a world-class Data Organization composed of product data science, applied science, data engineering and business intelligence groups.
We are looking for a Staff Applied Science Manager to lead and grow a team of talented data scientists who have direct impact on our company metrics.
Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to…
We are looking for an Applied Scientist III to join our algorithmic and research science team. As an Applied Scientist, you will not just "use models"—you will formulate…
We are looking for an Applied Scientist to develop and improve our user personalization intelligence through architectural and data research aimed at optimizing the…
We are looking for a Machine Learning Engineer to develop and optimize our ad science models, open-source LLMs, and the underlying infrastructure that powers them — with…
As an Architect/Staff Engineer I at InMobi, you will be a mentor, technical leader driving the design, development, and delivery of Agentic AI solutions on Salesforce…
Bangalore, IndiaIndia & South Asia
Glean is looking for a Technical Program Manager, AI & Cloud Efficiency to provide end-to-end oversight of these initiatives: maintain the portfolio, set priorities…
AI/ML Engineering, Generative AI, LLMs, RAG, Agentic AI, MCP, Python, REST API Development, Spark, Java/J2EE, Airflow, Databricks, GKE, GCP, Microsoft Azure, Databases…