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Job details
Fully Remote, Well-Funded SaaS Startup with an innovative product. Excellent Benefits, Bonus, and Equity!
This Jobot Job is hosted by Grant Greenhalgh
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary $200,000 - $275,000 per year
A Bit About Us
We're an established SaaS startup with a Platform fueled by our proprietary AI solution. Our technology can automate, optimize, and revolutionize critical business needs for clients in a plethora of verticals.
Our platforms versatility has given us the ability to pivot into new niche’s that have clear and undeniable needs for innovation.
Our product is evolving, and we need like-minded individuals to help us innovate through this growth phase!
Why join us?
- Fully Remote
- Generous Equity Package
- Yearly Bonus
- Unlimited PTO
- Greenfield Project
- Well-Funded startup
- Excellent Benefits (Health, Dental, Vision)
- Yearly Stipend
Job Details
We’re looking for an individual with a keen ability to see the big picture and understand how AI components can interact to create a cohesive, powerful system.
This candidate will have an innate ability to tackle intricate problems down to their core, and masterfully navigate the simplest solutions to complex problems.
Responsibilities
- Partner with the CTO to develop an AI strategy that maximizes the platforms potential
- Lead the development of AI-powered systems by architecting and guiding the implementation of LLMs to process complex data.
- Bridge AI research with practical applications by translating AI research into robust, scalable, and maintainable solutions
- Architect self-learning AI systems that continuously learn and improve from their own outputs, and human feedback
- Implement intelligent error detection to flag potential errors, inconsistencies, or anomalies to trigger self-correction processes
Qualifications
- 10 + years of total experience, preferably in a startup environment
- Must have a compelling portfolio of complex, large-scale AI projects, preferably in the B2B space.
- Deep expertise in AI and ML, with an eye for identifying the right technology to implement, whether it’s established or emergent
- Demonstrated ability to architect innovative AI systems that continuously learn from their own outputs, and human feedback,
- Expertise with knowledge graphs, including their construction, validation, and utilization as a foundation for Machine Learning
- PhD or Masters degree in Computer Science, AI, Systems Engineering, or a relevant field is highly preferred
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
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