How do you get a job at Palantir?

Everyone starts with one or two phone interviews, and if we think there’s a fit, we’ll bring you onsite for a round of in-person interviews. We know there are many kinds of engineers, so we’ve structured our interview process around the engineering competencies that we value most.

Is Palantir a machine learning?

Palantir makes AI/ML models operational by deploying them on top of a trustworthy data foundation and continuously improving them based on user decisions and feedback — in a cyclic way. Our platforms provide the matrix for end-to-end MLOps, propelling AI/ML out of the experimental vacuum and into the real world.

Is it hard to get hired at Palantir?

Some have dubbed Palantir the “hardest interview in the tech industry,” while others report an easier-than-average experience. While some have said the interview process was brief and efficient, others felt it was a few rounds longer than expected.

Why do companies like Palantir work with other companies?

They then place them into other companies directly to help solve valuable problems for those companies on a project basis. The reason these other companies work with Palantir is that they would never have a chance of hiring and being able to manage exceptional engineers themselves (in particular financial and government organizations).

Is Palantir’s data model flexible?

At Palantir we make sure our data model (ontology) is both flexible and dynamic, and that it mirrors the concepts people naturally use when reasoning about the domain. This is no small challenge, but we’re already making it a reality.

What is the difference between traditional approaches and Palantir?

Unlike Palantir, traditional approaches have focused almost exclusively on this aspect of analysis. Ability to visualize large data sets. Here the analyst wants interesting and informative ways of viewing data graphically, to make it easier for him to digest.