The Opportunity: We're seeking a talented Full-Stack Developer/ML Engineer to join our innovative startup building a consumer AI product for e-commerce.
You'll be instrumental in developing our AI/automation engine using Python, crafting our backend infrastructure with Node.js, and creating engaging mobile experiences with React Native.
We are a technology company focused on transforming the e-commerce experience through intelligent automation and personalization.
Salary: $2,500 - $3,000 per month
Location: Remote
Schedule: Pacific Standard Time
Experience: At least 3 years experience as a Senior Full-Stack Software Engineer
Requirements
Your Goal: As a key member of our technical team, you'll spend your days architecting and implementing AI algorithms in Python, developing scalable APIs with Node.js, and building intuitive mobile interfaces using React Native.
Your daily responsibilities will involve training machine learning models, optimizing backend services, and ensuring our AI-driven features deliver exceptional user experiences.
1.
You're a Technical Expert:
You have deep expertise in Python and Node.js development
You've built production ML/AI systems at scale
2.
You're a Startup Athlete:
You excel in fast-paced, dynamic environments
You maintain high code quality under pressure
You balance speed with technical excellence
3.
You're an Independent Executor:
You own features from conception to deployment
You make sound architectural decisions autonomously
You solve complex technical challenges effectively
You've implemented production AI/ML workflows
You optimize models for real-world performance
You stay current with AI/ML best practices
4.
You're Growth-Oriented:
You adapt quickly to new technologies
You contribute to technical strategy
You mentor and elevate team capabilities
Competitive Compensation:Earn between $2,500 - $3,000 monthly (based on experience)
Technical Innovation:Work on cutting-edge ML/AI solutions
Significant Impact:Shape core technical infrastructure
Full Ownership:Lead complex technical projects
Growth Potential:Exceptional learning and development opportunities
#J-18808-Ljbffr