Afresh, the AI platform for grocery, began by tackling the most complex problem in the industry: fresh, and has evolved into the core AI platform for grocers. Afresh partners with retailers like Albertsons, Meijer, and Wakefern, and has prevented over 200 million pounds of food waste.
About the Role:
The Afresh Intelligence team is responsible for the development and performance of AI/ML models that power Afresh's core replenishment technology, directly responsible for ordering millions of dollars of fresh inventory across the world every day. Afresh is looking for a Staff Applied Scientist to lead R&D work, applying machine learning, forecasting, operations research, and stochastic optimization to the challenging problem of perishable inventory control.
Responsibilities:
- Set technical direction for core replenishment R&D, defining the modeling roadmap across demand forecasting, inventory optimization, and decision-making policy
- - Model complex problems such as inventory decay, promotions, price elasticity, and inventory uncertainty
- - Implement solutions to multi-stage and multi-echelon inventory optimization problems
- - Drive fundamental changes to the core system from research through production, writing rigorously tested and scalable code
- - Lead research and development for new product and business challenges
- - Raise the technical bar across the Intelligence team: mentor scientists and engineers, set standards for experimental rigor
- - Push the boundaries of AI capabilities in both products and scientist workflows
Requirements:
- MS or PhD in Operations Research, Industrial Engineering, Computer Science, Electrical Engineering, or another quantitative field, or equivalent practical experience
- - For MS candidates, 8+ years of industry experience; for PhD candidates, 4+ years of industry experience
- - Experience researching and building systems that support large-scale decision making under uncertainty
- - Prior experience in inventory optimization, supply chain management, network optimization, forecasting, game theory, decision analysis, stochastic optimization, or approximate dynamic programming is a plus
- - Excellent communication and presentation skills, able to explain complex mathematical ideas in plain English
- - Ability to independently deliver high quality software implementations in the Python data stack
Salary Range: $191,760 - $287,640 + meaningful early-stage equity + benefits
Benefits:
Comprehensive medical, dental, and vision coverage with the majority of premiums covered by Afresh, dedicated mental health support, competitive base salary, meaningful equity, 401(k) with company match, home office stipend, annual professional development budget, monthly wellness and telecommunications stipends, and flexible paid time off.
For more information or to apply, visit the Afresh careers site. Location: Remote - United States. Afresh provides equal employment opportunities to all employees and applicants for employment.
