Machine Learning Specialist
$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

Are you an AI virtuoso ready to push the boundaries of what's possible with Large Language Models? Welcome to Trilogy, where we're not just riding the AI wave – we're creating the swells that transform how businesses operate.

We're seeking a visionary who sees AI not as a tool, but as a fundamental paradigm shift in productivity. Here, you won't find empty AI promises or theoretical exercises. Instead, you'll be at the forefront of implementing practical, game-changing solutions that make a real difference.

Picture yourself orchestrating AI symphonies where LLMs harmoniously blend with business operations, creating a crescendo of efficiency and innovation. At Trilogy, your expertise won't be diluted by red tape or lost in endless planning sessions – it will be the catalyst for tangible transformation.

If you're energized by the prospect of wielding cutting-edge AI to reshape the future of work, we need to talk.

What you will be doing

  • Craft and deploy sophisticated AI automation solutions that redefine productivity benchmarks and scale across diverse business landscapes
  • Pioneer the integration of bleeding-edge AI technologies, including GPT-4 Vision and Amazon CodeWhisperer, pushing the boundaries of what's possible in development
  • Architect and optimize AI implementations across AWS infrastructure, ensuring robust, seamless performance that stands the test of scale

What you will NOT be doing

  • Wrestling with conventional coding paradigms – our AI ecosystem handles the heavy lifting, leaving you free to innovate at a higher level
  • Getting bogged down in monotonous tasks – each challenge brings fresh opportunities for creative problem-solving

Key responsibilities

Your core mission is to design and implement autonomous AI systems that operate with complete independence, creating scalable solutions that transform business operations without requiring human oversight.

Candidate requirements

  • Demonstrated commitment to an AI-first philosophy – you should instinctively approach problems through an AI lens rather than traditional coding methods
  • Minimum 5-year track record in professional settings
  • Strong command of Python and AWS ecosystems
  • Hands-on experience with modern AI coding assistants (Github Copilot, Cursor.sh, v0.dev)
  • Proven success stories in implementing Generative AI solutions with measurable business impact
  • Deep expertise in leveraging various LLM APIs (GPT, Claude, Mistral) for practical business applications

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.

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.