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 

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

Machine Learning Specialist   $100,000 USD/year

Description

Are you ready to revolutionize productivity with cutting-edge AI? Trilogy is seeking a Machine Learning Specialist to push the boundaries of Large Language Models (LLMs) and redefine how businesses operate. If you're among the elite AI professionals who can transform complex algorithms into real-world solutions, this is your stage.

At Trilogy, we're not just talking about AI – we're leveraging it to create tangible, industry-altering results. Your expertise will be the driving force behind AI-powered tools that streamline workflows, automate tasks, and enhance decision-making processes across industries.

This isn't about incremental improvements. It's about architecting AI solutions that fundamentally change how businesses function, dramatically boosting efficiency and effectiveness. You'll witness the direct impact of your innovations as they shape the future of productivity tools. If you're prepared to be at the forefront of AI application and see your ideas transform into reality, Trilogy is where your expertise will thrive.

What you will be doing

  • Architect and implement advanced AI automations that redefine productivity across diverse business applications
  • Pioneer the integration of cutting-edge AI tools like GPT-4 Vision and Amazon CodeWhisperer, pushing the boundaries of our technological capabilities
  • Optimize AI solution deployment across various infrastructures, with a focus on AWS, ensuring seamless performance and scalability

What you will NOT be doing

  • Engaging in routine coding tasks – our AI handles the basics, freeing you to focus on high-level innovation and strategy
  • Repeating monotonous processes – each challenge you face will be unique, demanding creative problem-solving
  • Working in isolation – you'll be at the heart of a dynamic team, driving forward-thinking solutions
  • Implementing off-the-shelf AI solutions – your role is to create custom, cutting-edge systems tailored to specific business needs

Key responsibilities

Spearhead the development and deployment of fully-automated, sophisticated AI systems that operate without human intervention, scaling impact across industries and revolutionizing business processes.

Candidate requirements

  • Demonstrated mastery in generative AI, including proficiency with multiple AI tools and ability to create automated workflows and custom GPTs (Note: Basic LLM usage for research or content generation is insufficient)
  • Minimum 3 years of professional experience in AI/ML roles
  • Expert-level Python programming skills and proven experience in API integration
  • Advanced proficiency in 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

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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.