Develop machine learning algorithms, focusing on Large Language Models (LLMs) like GPT, to improve accuracy and performance.
Work with teams to turn business requirements into AI solutions.
Use LLMs for restaurant-specific applications like real-time text generation and recommendation engines.
Monitor and improve model performance.
Stay up to date on the latest in machine learning and contribute to research and patents.
Experiment with new methods like transfer learning and reinforcement learning.
Collaborate with partners to integrate the latest AI innovations.
Build new products from scratch and influence product direction and engineering roadmap.
Improve customer interactions and ensure seamless, delightful experiences.
Requirements
Strong background in computer science or engineering with 3+ years of experience.
Knowledge of machine learning, deep learning, and natural language processing.
Experience with LLMs like GPT and LLama3.
Proficient in Python and familiar with TensorFlow or PyTorch.
Good problem-solving skills and ability to work independently and in a team.
Understanding of conversational English and experience with voice programs/products.
Proficient in cloud services (AWS, Azure, Google Cloud) and container technologies (Docker, Kubernetes).
Strong communication skills for explaining technical ideas to various audiences.
Previous experience in the restaurant industry is a plus but not required.
Ability to manage product specifications from concept to production.
Understanding of software design principles, including optimization and performance tuning.
Extensive understanding of fast food and quick service restaurants
Benefits
Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k)
Life Insurance (Basic, Voluntary & AD&D)
Flexible Paid Time Off
Family Leave (Maternity, Paternity)
Short Term & Long Term Disability
Training & Development
Work From Home
Stock Option Plan
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningnatural language processingLarge Language ModelsPythonTensorFlowPyTorchtransfer learningreinforcement learningperformance tuning