Machine Learning Engineer
$200,000+ Offers For Graduates $200,000+ Offers For Graduates 

3 weeks remote, 7 weeks onsite in Austin, TX
80–100 hours/week for 10 weeks
Short-term contract
Hybrid location
full-time (90 hrs/week)

Machine Learning Engineer   $200,000+ Offers For Graduates $200,000+ Offers For Graduates 

Description

Gauntlet is a selective, fully funded 10-week fellowship designed for experienced engineers seeking to advance their careers by demonstrating their ability to build and deploy production-quality AI systems under real-world constraints. Participants ship deliverables weekly, collaborate with seasoned operators, and gain direct access to CTOs, founders, and hiring partners.

Challengers from our most recent cohort earned 300+ first-round interviews with hiring partners. We aim for 100% of graduates to receive job offers from our partner network, with starting compensation no lower than $200,000.

The fellowship spans 10 weeks: 3 weeks conducted remotely, then 7 weeks onsite in Austin, Texas. Participants should anticipate a high-intensity commitment (80–100 hours per week) structured to maximize learning velocity, performance signal, and career advancement.

Program Outcomes:

  • 10+ production AI applications delivered during the fellowship
  • Entry into Gauntlet's alumni and hiring partner network
  • Job offers starting at $200,000+ from hiring partners

If you ship rapidly, thrive under pressure, and want your work — not your credentials — to define your next opportunity, apply now.

What you will be doing

  • Deliver production-ready AI applications weekly under strict deadlines
  • Work with modern AI-first engineering workflows (agents, tool integration, evaluations, retrieval, deployment)
  • Compete and collaborate with elite engineering talent in a high-feedback setting
  • Present your work directly to founders, CTOs, and hiring partners
  • Convert real project briefs into scoped, reliable, deployable solutions

What you will NOT be doing

  • Spending weeks on theoretical study, tutorials, or passive learning without deploying real systems
  • Creating demos that never encounter actual usage or rigorous evaluation
  • Refining resumes and portfolios rather than building and shipping functional systems
  • Attending weeks of lectures and coursework before engaging with production code

Key responsibilities

Build and ship production-quality AI systems on a weekly basis, converting demonstrated engineering capability into $200K+ career outcomes through Gauntlet's hiring partner network.

Candidate requirements

  • 3+ years of professional engineering experience (or equivalent demonstrated ability)
  • Must have independently designed, implemented, and deployed at least one functional software system to production or active users
  • High responsiveness to feedback and extreme execution intensity
  • Authorized to work in the U.S. without requiring visa sponsorship
  • Willing to commit to 80–100 hour workweeks and relocate to Austin for 7 weeks

Meet a successful candidate

Watch Interview
Fabiano Lucchese
Fabiano  |  SVP of Software Engineering
Brazil

Does your company encourage your natural creativity? This Brazilian engineering leader rediscovered his purpose after unleashing both his an...

Meet Fabiano

Applying for a role? Here’s what to expect.

Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.

Chat-style
screening interview.
STEP 1

Chat-style
screening interview.

Cognitive 
aptitude test.
STEP 2

Cognitive 
aptitude test.

Prove real-world 
job skills.
STEP 3

Prove real-world 
job skills.

Interview with the hiring manager.
STEP 4

Interview with the hiring manager.

Pass
proctored test.
STEP 5

Pass
proctored test.

Accept job offer.
STEP 6

Accept job offer.

Frequently asked questions

About Crossover

What you will learn

Phase 1: Remote (Weeks 1–3) — Foundations in AI-First Engineering

  • AI-first development workflows (coding agents, MCP, real-time collaboration tools)
  • Retrieval-Augmented Generation (RAG), embeddings, and vector database usage
  • Rapid project delivery sprints focused on shipping under constraint

Phase 2: Onsite in Austin (Weeks 4–10) — Production AI Systems at Scale

  • Agent architectures, evaluations, verification, and observability (LangChain/LangSmith/LangFuse/CrewAI)
  • Enterprise-level delivery standards: QA, reliability, and high-caliber execution
  • Fine-tuning and deployment patterns (LoRA/QLoRA + production integration)
  • Multi-agent modernization of existing real-world codebases
  • Multimodal AI development (image/video/voice) and scalable infrastructure (AWS/Azure)

Meet some people who've landed similar jobs

Why Crossover

Recruitment sucks. So we’re fixing it.

The Olympics of work

The Olympics of work

It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.

Premium pay for premium talent

Premium pay for premium talent

Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.

Shortlist by skills, not bias

Shortlist by skills, not bias

We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.

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