Poolside AI.

Instead of only training on text prediction, code models can be trained with execution feedback: does the generated code compile, pass tests, and produce correct outputs? This creates a stronger learning signal than language modeling alone. Understanding how to design reward functions from code execution and integrate them into training is Poolside's core research direction.

Code has formal structure (syntax, types, scope), executable semantics, and measurable correctness through testing. Training code models can leverage these properties through structured tokenization, execution based evaluation, and repository level context. Understanding how these code specific properties create training opportunities beyond general text models shows relevant expertise.

Most Poolside AI roles involve 3 to 5 interview rounds. This usually includes a recruiter call, a phone or video technical screen, and 2 to 3 on site or virtual loop interviews with the hiring team.

Strong Poolside AI candidates demonstrate both technical competence and alignment with company values. Prepare concrete examples of past impact, show curiosity about the team's challenges, and ask thoughtful questions that reveal your understanding of the role and company direction.

Poolside AI interviews typically blend both behavioral and technical elements. Most loops include at least one behavioral round focusing on past experiences and one technical round assessing domain skills. The exact split depends on the role, team, and seniority level.

While not always mandatory, submitting a cover letter for Poolside AI applications can strengthen your candidacy. A concise, role specific cover letter that connects your experience to the job requirements shows genuine interest and can differentiate you from other applicants.

The Poolside AI hiring process typically takes 2 to 6 weeks from initial application to offer. Timelines vary by role and team. Some positions move faster while senior or specialized roles may take longer due to additional rounds or committee reviews.

Salaries at Poolside AI vary widely depending on the role, level, and location. Most positions offer competitive compensation packages that include base salary, bonuses, and equity. Research specific role compensation on Orbyt's salary explorer for detailed data.