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 ready to revolutionize productivity with cutting-edge AI? Trilogy is seeking a visionary Machine Learning Engineer to join our innovative team. We're not just talking about AI; we're using it to reshape industries and redefine what's possible.

Imagine being at the forefront of AI-driven transformation, where your expertise in Large Language Models (LLMs) directly impacts how businesses operate. At Trilogy, you'll be more than just an engineer – you'll be a pioneer, crafting solutions that make the complex simple and the impossible achievable.

This isn't your average tech job. Here, you'll witness the tangible results of your work as you develop AI tools that streamline workflows, automate tasks, and enhance decision-making processes. We're offering you the chance to push the boundaries of your LLM knowledge while making a real-world impact.

If you're passionate about AI and ready to turn theory into practice, we want to hear from you. Join us in creating the future of productivity – one innovative solution at a time.

What you will be doing

  • Craft intelligent AI automations that redefine productivity across diverse applications
  • Pioneer the integration of cutting-edge AI tools like GPT-4 Vision and Amazon CodeWhisperer into our development ecosystem
  • Optimize AI solutions across various cloud infrastructures, with a focus on AWS, ensuring seamless performance and scalability

What you will NOT be doing

  • Mundane coding tasks – our AI handles the heavy lifting, freeing your creativity
  • Monotonous work – each day brings new challenges and opportunities for innovation

Key responsibilities

Design, develop, and deploy autonomous AI systems that operate without human intervention, scaling impact across industries and revolutionizing business processes

Candidate requirements

  • Demonstrated mastery of generative AI, including experience with multiple AI tools and automation of complex workflows (Note: basic LLM usage for research or content creation is not sufficient)
  • Minimum 3 years of professional experience in relevant fields
  • Strong command of Python programming and API integration techniques
  • Proven expertise in AWS cloud services and infrastructure

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 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

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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.