Machine Learning Engineer

$200,000+ Offers For Graduates ^{$200,000+ Offers For Graduates} 

• Deliver production-ready AI systems each week under firm deadlines
• Develop using contemporary AI-native patterns (agents, tool integration, evaluation frameworks, retrieval systems, deployment pipelines)
• Work and compete alongside elite engineering peers in a high-feedback, fast-iteration setting
• Showcase your builds directly to founders, CTOs, and partner decision-makers
• Convert live project briefs into scoped, dependable, shippable solutions

• Spending multiple weeks on theory, tutorials, or passive study without deployment
• Creating demos that remain unused or unevaluated by real audiences
• Refining resumes and portfolio presentations rather than constructing and releasing functional systems
• Attending extended lecture series and coursework before engaging with actual codebases

Build and deploy production-grade AI applications on a weekly cadence, transforming demonstrated engineering capability into $200K+ career opportunities via Gauntlet's hiring partner ecosystem.

• 3+ years of professional engineering experience (or demonstrable equivalent capability)
• Have independently designed, built, and deployed at least one functional software system to production or live users
• High receptiveness to feedback and exceptional execution intensity
• Authorized to work in the U.S. without requiring visa sponsorship
• Able to commit to 80–100 hour work weeks and relocate to Austin for 7 weeks