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 

Fully-remote
Any country
full-time (40 hrs/week)
Long-term role

Machine Learning Engineer   $100,000 USD/year

Description

Are you ready to pioneer the future of AI-driven productivity? At Trilogy, we're not just talking about artificial intelligence – we're revolutionizing how it's applied in the real world. We're seeking a visionary Machine Learning Engineer who lives and breathes Large Language Models (LLMs) and is passionate about turning AI potential into practical power.

Picture yourself at the forefront of innovation, where your expertise in LLMs isn't just appreciated – it's essential. We're not about following trends; we're about setting them. In our world, AI isn't a buzzword – it's a tool for transformation that you'll wield to reshape how businesses operate.

This isn't your typical tech role. Here, you'll be empowered to push boundaries, experiment with cutting-edge AI technologies, and see your innovations make immediate, meaningful impact. No red tape, no endless meetings – just pure, creative problem-solving with the most advanced AI tools at your fingertips.

What you will be doing

  • Craft and deploy innovative AI automation solutions that transform complex business processes into streamlined, efficient operations
  • Pioneer new applications of cutting-edge AI technologies, including GPT-4 Vision and Amazon CodeWhisperer, pushing the boundaries of what's possible
  • Architect and optimize AI implementations across AWS infrastructure, ensuring robust, scalable, and efficient solutions

What you will NOT be doing

  • Getting bogged down in traditional coding – our AI systems handle the routine work
  • Facing monotonous, repetitive tasks – each day brings fresh challenges and opportunities for innovation

Key responsibilities

Take ownership of designing and implementing autonomous AI systems that operate independently, creating scalable solutions that transform business operations without human intervention

Candidate requirements

  • Demonstrated expertise in generative AI beyond basic applications – you should be proficient in creating automated workflows and custom GPTs (simple content generation experience isn't enough)
  • Minimum 3 years of professional experience in the field
  • Strong command of Python programming and API integration capabilities
  • Proven experience with AWS infrastructure and services

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
How it works

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

We’ve curated a series of steps that take the guesswork (and cognitive bias) out of recruiting the best person.

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.

Celebrate!
STEP 6

Celebrate!

Frequently asked questions

About the role

About Crossover

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.