Machine Learning Engineer
$100,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks 

Not accepting applications on crossover.com at this time.

Description

Elite AI Architects Only: Transform Industries Through LLM Mastery

At Trilogy, we're not chasing AI trends—we're setting them. If you've mastered Large Language Models and seek to apply this expertise where it creates measurable business impact, we've been waiting for you. This role offers what few can: the opportunity to focus primarily on expanding your LLM proficiency while solving complex productivity challenges that matter.

While others talk about AI potential, we're actively deploying it. Our mission is clear: revolutionize productivity through practical, powerful AI applications. You'll architect solutions that fundamentally transform how businesses operate—creating tools that automate complex workflows, enhance decision-making processes, and deliver quantifiable efficiency gains.

What you will be doing

  • Design and implement sophisticated AI automations that deliver measurable productivity improvements across diverse business applications
  • Pioneer experimental implementations of cutting-edge AI tools including GPT-4 Vision and Amazon CodeWhisperer, rigorously evaluating their practical business applications
  • Optimize AI solution deployment across AWS infrastructure, ensuring maximum performance, scalability, and seamless integration

What you will NOT be doing

  • Traditional coding approaches—our AI-first methodology eliminates conventional development constraints, allowing you to focus on strategic solution architecture
  • Repetitive implementation work—each challenge presents unique complexities requiring innovative approaches and creative problem-solving
  • Navigating bureaucratic approval processes—we maintain direct paths from concept to implementation, ensuring your innovations reach production rapidly

Key responsibilities

Architect and deploy autonomous AI systems that operate without human intervention, creating scalable solutions that transform business productivity metrics across entire organizations

Candidate requirements

  • Demonstrated AI-First Mindset—candidates who default to traditional coding approaches before leveraging AI tools need not apply
  • Minimum 5 years of professional experience in relevant technical roles
  • Advanced proficiency in Python and AWS infrastructure
  • Proven expertise with GenAI code assistants (Github Copilot, Cursor.sh, v0.dev)
  • Verifiable track record implementing Generative AI solutions with quantifiable business impact
  • Extensive experience leveraging multiple LLM platforms via APIs (GPT, Claude, Mistral) to address complex business challenges

Meet a successful candidate

Watch Interview
Najeeha Humayun
Najeeha  |  AI-First Strategic Sales Specialist
Switzerland  

Who says you have to choose between building a family and building an epic career? Najeeha didn’t. After pivoting from finance to tech, she ...

Meet Najeeha

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.

Pass Cognitive Aptitude Test.
STEP 1

Pass Cognitive Aptitude Test.

Pass English Proficiency Test.
STEP 2

Pass English Proficiency Test.

Prove Real-World Job & AI Skills.
STEP 3

Prove Real-World Job & AI Skills.

Ace An Interview Or Two.
STEP 4

Ace An Interview Or Two.

Accept Job Offer.
STEP 5

Accept Job Offer.

Frequently asked questions

About the role

About Crossover

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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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