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 accelerate their careers by demonstrating their ability to build and ship production-quality AI systems under real-world conditions. Fellows deliver weekly, collaborate with seasoned operators, and gain direct access to founders, CTOs, and hiring partners.

Participants in our latest cohort earned 300+ first-round interviews with hiring partners. We aim for every program graduate to receive offers from our partner network, with starting compensation of at least $200,000.

The fellowship spans 10 weeks: the first 3 weeks are remote, and the remaining 7 weeks take place onsite in Austin, Texas. Participants should anticipate an intensive schedule (80–100 hours per week) structured to maximize learning velocity, performance signal, and career advancement.

Program Outcomes:

  • 10+ production AI applications deployed throughout the fellowship
  • Entry into Gauntlet's alumni and hiring partner network
  • Job offers of $200,000+ from hiring partners upon graduation

If you ship quickly, perform under pressure, and want your work — not your credentials — to define your next opportunity, apply today.

What you will be doing

  • Deliver production-ready AI applications weekly under strict time constraints
  • Develop systems using modern AI-first workflows (agents, tool use, evaluations, retrieval, deployment)
  • Work and compete alongside exceptional engineering talent in a high-feedback setting
  • Showcase your work directly to CTOs, founders, and hiring partners
  • Transform real briefs into scoped, dependable, deployable systems

What you will NOT be doing

  • Investing weeks in theory, tutorials, or passive study without shipping
  • Creating demos that are never deployed or evaluated in real-world conditions
  • Refining resumes and portfolios instead of constructing and launching real systems
  • Attending extended lectures and coursework before writing actual code

Key responsibilities

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

Candidate requirements

  • 3+ years of professional engineering experience (or equivalent demonstrated ability)
  • Have independently designed, implemented, and deployed at least one working software system to production or active users
  • High responsiveness to feedback and extreme execution intensity
  • Authorized to work in the U.S. without visa sponsorship
  • Willing to commit to 80–100 hour weeks 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)
  • Retrieval-Augmented Generation (RAG), embeddings, and vector databases
  • Fast-paced project sprints centered on shipping within constraints

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

  • Agent systems, evaluations, verification, and observability (LangChain/LangSmith/LangFuse/CrewAI)
  • Enterprise-grade delivery: quality assurance, reliability, and high-standards 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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