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 ($50 USD/hour)

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

Machine Learning Engineer $100,000USD/year ($50 USD/hour)

Description

Are you poised to harness your expertise in LLMs to transform productivity? At Trilogy, we're inviting top AI talent to immerse themselves in an exciting tech journey. This is a unique opportunity to sharpen your skills in LLMs within a vibrant, forward-thinking environment.

In a world where buzzwords often overshadow real progress, Trilogy is a beacon of true innovation. We prioritize practical, real-world AI applications that have the power to revolutionize industries. Picture yourself developing AI-driven tools that streamline operations, automate tasks, and enhance decision-making, all aimed at significantly boosting productivity.

Your mission? To leverage LLMs in transforming business operations, driving efficiency and effectiveness. You'll design solutions that integrate AI effortlessly, simplify complex processes, and refine workflows for optimal results. Here, you won't face bureaucratic obstacles or see your ideas vanish into thin air. Instead, your contributions will directly shape the future of productivity tools.

Are you ready to apply your knowledge and become a catalyst for change? Let's discover if you're the visionary we've been searching for!

What you will be doing

  • Crafting and developing top-tier AI automations to streamline workflows, boost efficiency, and deliver comprehensive, scalable solutions across a variety of applications
  • Experimenting with cutting-edge AI technologies like GPT-4 Vision and Amazon CodeWhisperer, integrating these tools into our development process to evaluate and enhance their effectiveness
  • Assessing and enhancing AI solution deployment across multiple infrastructures, including AWS, ensuring optimal performance and seamless integration

What you will NOT be doing

  • Traditional coding - our AI handles the heavy lifting, allowing you to focus on innovation and strategy
  • Repetitive tasks - every challenge is unique

Key responsibilities

Designing and implementing advanced, fully-automated AI systems that operate without human intervention for scalable impact

Candidate requirements

  • Extensive expertise in generative AI (experience with multiple AI tools, workflow automation, and custom GPTs); using LLMs solely for research, learning, brainstorming, or content creation is not sufficient
  • Minimum of 3 years of professional experience
  • Proficiency in Python and API integration
  • Proficiency in AWS

Meet a successful candidate

Watch Interview
Kavya Harlalka
Kavya  |  Software Engineer
India  

Every developer knows that tunnel vision you get when the interruptions finally stop and the code can flow through you without distraction. ...

Meet Kavya
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 Skills.
STEP 3

Prove Real-World Job 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.