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 harness your expertise in LLMs to revolutionize productivity? At Trilogy, we're inviting skilled AI professionals to elevate their careers in a stimulating environment. This is a unique opportunity to deepen your mastery of LLMs.

In a sector often dominated by buzzwords, Trilogy is a beacon of genuine innovation, focusing on real-world applications that transform industries. Picture yourself crafting AI-powered tools that simplify workflows, automate tasks, and enhance decision-making to significantly amplify productivity.

Your mission? To utilize LLMs to transform business operations, boosting efficiency and effectiveness. You'll be engineering solutions that seamlessly incorporate AI, simplifying complex processes and optimizing workflows for maximum efficiency. Here, you won't be bogged down by bureaucracy or fruitless pitches. Instead, you'll see the tangible impact of your work as it directly shapes the future of productivity tools.

Are you ready to unleash your skills and be a driving force for change? Discover if you're the catalyst we're looking for in this thrilling opportunity!

What you will be doing

  • Creating and implementing top-notch AI automations to enhance processes, boost productivity, and provide robust, scalable solutions across a variety of applications
  • Testing cutting-edge AI tools like GPT-4 Vision and Amazon CodeWhisperer, integrating them into our development process to evaluate and improve their effectiveness
  • Assessing and fine-tuning the deployment of AI solutions across multiple infrastructures, including AWS, to ensure smooth performance and integration

What you will NOT be doing

  • Traditional coding - let our AI handle the heavy lifting while you focus on innovation and strategy
  • Performing repetitive tasks - each challenge brings something new

Key responsibilities

Designing and implementing advanced, fully-automated AI systems that operate independently for a truly scalable impact

Candidate requirements

  • Advanced proficiency in generative AI (e.g., utilizing multiple AI tools, automating workflows, creating custom GPTs); experience limited to research, learning, brainstorming, or content generation with LLMs is insufficient
  • Minimum of 3 years of professional experience
  • Expertise in Python and API integration
  • Strong skills in AWS

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.