Company details

Pittsburgh, PA

HEADCOUNT

1-24

ORG TYPE

Startup

SECTOR

Technology & Digital

WEBSITE

https://www.skild.ai

About the company

Skild AI builds foundation-model software for robots, aiming to provide a general-purpose “brain” that can transfer across different robot types and tasks. Skild AI launched the Skild Brain model in July 2025 and positions the work around real-world robustness, safety, and learning from large-scale data. Skild AI has attracted major investor interest in large funding rounds reported in 2024–2025 and has been covered as part of the “physical AI” wave alongside other frontier-model companies. Skild AI was founded in 2023 and operates as a privately held company.

Locations and presence

Skild AI lists Pittsburgh as the primary headquarters and also recruits for roles in the Bay Area (San Mateo and San Francisco) plus Bengaluru. Skild AI’s openings are mostly tied to specific offices and labs, with some roles and internships also showing remote as an option.

Palpable Score

57.8

/ 100

Skild AI offers a handful of genuine early-career doors, especially internships and some roles with low experience barriers, but early-career hiring is a small slice of the overall openings. The hiring process looks technically structured from candidate interview reports, yet Skild AI does not publish a clear, candidate-facing process with timelines and feedback expectations. Pay transparency shows up on some listings, while learning support and long-term outcomes are difficult to judge from public evidence so far.

Pillar 1: Early-career access

Score

13.3

/ 20

The company lists multiple internships (including Technical Animator Intern and Cinematography Intern) alongside a Machine Learning Intern opening that was posted with remote as an option.

Skild AI advertises at least one low-barrier operational role (Robot Operator) that focuses on training and data collection work rather than requiring years of prior industry experience.

The company’s job board is dominated by mid-to-senior engineering and research roles, so early-career access exists but is not a high-volume pipeline.

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Pillar 2: Hiring fairness and transparency

Score

10.5

/ 20

The company has candidate interview write-ups describing staged, role-relevant technical screens (for example, CoderPad or LeetCode-style screening followed by multiple technical rounds).

Skild AI routes applications through a consistent ATS with standardised questions and requirements (for example, transcript prompts for undergraduate applicants and written prompts about projects).

The company does not publish a clear interview-stage map or typical timeline on the careers pages, and the available interview evidence is small and heavily referral-driven, limiting transparency for first-time applicants.

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Pillar 3: Learning and support

Score

10.5

/ 20

The company frames internships as hands-on roles that work directly with engineers and cross-functional teams (for example, animation and simulation collaboration in the Technical Animator Intern posting).

Skild AI describes intern roles as portfolio-building and skill-stretching, including exposure to real product and content work rather than shadowing-only assignments.

The company does not publicly outline a repeatable early-career support structure such as a mentorship programme, onboarding curriculum, or a defined graduate cohort experience.

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Pillar 4: Pay fairness and stability

Score

12.0

/ 20

The company publishes a clear hourly pay range for the Robot Operator role, which is unusually helpful for entry-level candidates trying to budget and compare offers.

Skild AI also publishes pay-range fields on some internship postings, giving at least partial upfront pay visibility on early-career opportunities.

The company does not consistently show salary ranges across most engineering and research roles, and some posted ranges are so broad that they are less decision-useful for candidates.

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Pillar 5: Early-career outcomes

Score

11.5

/ 20

The company states a potential path to full-time employment after at least one internship (Cinematography Intern), which is a concrete early-career outcome signal.

Skild AI has a small number of employee reviews that are highly positive and include mentions of pay and a supportive experience, but the sample is too limited to generalise.

The company does not publish early-career outcome metrics such as internship-to-offer conversion rate, first-year retention, or promotion timelines, so long-run progression evidence is still thin.

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