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
Not accepting applications on crossover.com at this time.
Description
Are you ready to revolutionize productivity with cutting-edge AI? Trilogy is seeking a visionary Machine Learning Engineer to join our innovative team. If you're passionate about Large Language Models (LLMs) and eager to push the boundaries of AI applications, this is your chance to shine!
At Trilogy, we're not just talking about AI – we're actively reshaping industries with practical, game-changing solutions. Imagine being at the forefront of AI-driven tools that transform business operations, automate complex tasks, and supercharge decision-making processes.
Your mission, should you choose to accept it, is to harness the power of LLMs to create AI solutions that seamlessly integrate into business workflows, dramatically boosting efficiency and effectiveness. You'll be the architect of change, designing and implementing AI systems that make the complex simple and the impossible achievable.
If you're ready to make a tangible impact and see your innovations come to life, Trilogy is where your AI expertise will truly flourish. Are you the catalyst we're looking for to drive the next wave of productivity revolution?
What you will be doing
- Craft and implement top-tier AI automations that streamline processes and skyrocket productivity across diverse business applications
- Dive into cutting-edge AI tools like GPT-4 Vision and Amazon CodeWhisperer, integrating them into our development pipeline to unlock their full potential
- Fine-tune and optimize AI solutions across various cloud infrastructures, with a focus on AWS, ensuring seamless performance and integration
What you will NOT be doing
- Getting bogged down in traditional coding – our AI takes care of the heavy lifting, freeing your creative genius
- Monotonous, repetitive tasks – each day brings fresh challenges and unique problems to solve
Key responsibilities
Your primary mission: Architect and deploy sophisticated, fully-automated AI systems that operate independently, scaling impact without human intervention. You'll be the mastermind behind AI solutions that transform businesses and redefine productivity.
Candidate requirements
- Embrace an AI-First Mindset: If you instinctively reach for AI tools before writing code, you're on the right track
- Boast at least 3 years of professional experience in the AI/ML field
- Demonstrate mastery in Python and AWS ecosystems
- Show proficiency with GenAI code assistants like Github Copilot, Cursor.sh, or v0.dev
- Showcase successful implementation of Generative AI solutions with measurable, significant impact
- Exhibit expertise in leveraging various LLMs (e.g., GPT, Claude, Mistral) to tackle real-world business challenges
How it works
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job & AI Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
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Why Crossover
Recruitment sucks. So we’re fixing it.
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
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
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.
