Open roles in Engineering teams, from every company on the board.
79 jobs found · Engineering
Bengaluru, IndiaIndia & South Asia
As a Staff Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate…
San Francisco Bay AreaNorth America
Our team owns data and evaluation science for Glean's AI products. Starting from real production usage, you'll turn what we learn into evals that guide improvements…
Bengaluru, IndiaIndia & South Asia
As a Senior Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate…
Hong Kong (Hybrid)China & Hong Kong
As a Senior AI Analytics Engineer in our Data Team, you will bridge the gap between Data Engineering, Tech, and Product. In addition to core analytics engineering, you…
Bangalore, KarnatakaIndia & South Asia
As a Principal Data Scientist in our AdTech team, you’ll drive innovation in our advertising platform using advanced machine learning and statistical methods.
Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to…
Bangalore, KarnatakaIndia & South Asia
Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and…
Rochester, MN, United StatesNorth America
This role is part of WD's early career development program. Based on our experience, we anticipate that the application deadline will be 01/12/2026 (3 months from…
Samsara is seeking a Data Engineer to join our Data team, comprising both Data Scientists, Data Analysts, and Data Engineers. As a Data Engineer, your primary…
Director, Partnerships Turing Intelligence United States (New York City preferred) Full-time We run as a startup inside Turing, and our forward-deployed engineers work…
This is a backend role focused on data management, working on the problems at the core of any large data platform: running a data catalog that stays accurate at scale…