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 ($50 USD/hour)

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

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

Description

Ready to leverage your mastery of LLMs to drive productivity? At Trilogy, we're opening doors to an exceptional tech career, welcoming those who've honed their AI skills to elevate their expertise in a dynamic environment. We're offering a rare chance where your primary focus will be to further expand your proficiency in LLMs.

In an industry often filled with more buzzwords than tangible progress, Trilogy stands out as a hub of genuine innovation. Our focus is on practical, real-world applications aimed at reshaping industries. Imagine creating AI-driven tools that streamline workflow, automate tasks, or enhance decision-making processes, all to significantly boost productivity.

Your mandate? Harnessing LLMs to revolutionize how businesses operate, improving efficiency and effectiveness. You'll be architecting solutions that integrate AI seamlessly, making intricate processes more accessible and refining workflows for maximum output. Here, you won't be lost in bureaucratic hurdles or pitching ideas into the void. Instead, you'll witness the direct impact of your efforts, as your work directly influences the evolution of productivity tools.

Ready to unleash your expertise and become a force of change? Let's explore if you're the catalyst we're seeking for this exciting opportunity!

What you will be doing

  • Designing and building high-quality AI automations to streamline processes, enhance productivity, and deliver robust, scalable solutions across diverse applications
  • Experimenting with state-of-the-art AI tools like GPT-4 Vision and Amazon CodeWhisperer, integrating them into our developmental process to assess and enhance their utility
  • Evaluating and optimizing the implementation of AI solutions across various infrastructures, including AWS, to ensure seamless performance and integration

What you will NOT be doing

  • Traditional coding - our AI does the heavy lifting, freeing you to innovate and strategize
  • Being stuck on repetitive tasks - no two problems are the same

Key responsibilities

Architecting and deploying sophisticated, fully-automated AI systems that require zero human intervention for a truly scalable impact

Candidate requirements

  • Advanced generative AI proficiency (i.e., use of multiple AI tools, ability to automate workflows and custom GPTs); if you've only used LLMs for research, learning, brainstorming, or content generation, that will be deemed insufficient
  • At least 3 years of professional work 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

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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.