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 a Machine Learning maverick ready to revolutionize productivity through cutting-edge AI? Trilogy is seeking a top-tier Machine Learning Specialist to spearhead our mission of reshaping industries with practical, AI-driven solutions. This isn't just another tech job – it's your launchpad to push the boundaries of Large Language Models (LLMs) and witness your innovations transform businesses in real-time.

At Trilogy, we cut through the AI hype to deliver tangible results. Your expertise in LLMs will be the cornerstone of developing groundbreaking tools that streamline workflows, automate complex tasks, and supercharge decision-making processes. This role is tailor-made for those who thrive on turning theoretical AI concepts into powerful, productivity-enhancing realities.

If you're prepared to be at the forefront of AI innovation, architecting solutions that seamlessly integrate into business operations and directly impact efficiency, then this position is calling your name. Join us in creating the future of work, where your AI mastery becomes the catalyst for unprecedented productivity gains across industries.

What you will be doing

  • Architect and implement cutting-edge AI automations that redefine productivity benchmarks and deliver scalable solutions across diverse business applications
  • Pioneer the integration of state-of-the-art AI tools, including GPT-4 Vision and Amazon CodeWhisperer, pushing the boundaries of our developmental capabilities
  • Optimize AI solution deployment across various cloud infrastructures, with a focus on AWS, ensuring seamless performance and robust integration

What you will NOT be doing

  • Engaging in mundane coding tasks – our AI handles the heavy lifting, freeing you to focus on high-level strategy and innovation
  • Repeating the same processes – each challenge you face will be unique, demanding fresh, creative solutions
  • Getting bogged down in bureaucratic red tape – your focus will be on direct implementation and measurable impact
  • Theoretical research without practical application – every project you undertake will have real-world implications

Key responsibilities

Drive the creation and deployment of sophisticated, fully-automated AI systems that operate without human intervention, scaling impact across industries and redefining productivity standards.

Candidate requirements

  • Demonstrated mastery of generative AI, including proficiency with multiple AI tools and the ability to create automated workflows and custom GPTs (Note: Experience limited to using LLMs for research, learning, brainstorming, or content generation is not sufficient)
  • Minimum of 3 years of professional experience in machine learning or related fields
  • Expert-level proficiency in Python programming and API integration
  • Advanced knowledge and hands-on experience with 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 & 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

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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.