Machine Learning Engineer | Mission Driven Startup!

Intelletec has partnered with a mission-driven SaaS company that is using Artificial Intelligence and Machine Learning to reduce food waste. They are looking for a Machine Learning Engineer to join the team; this is a one-of-a-kind opportunity to have a massive social impact at scale by leveraging uncommonly impactful software!


As a Machine Learning Engineer, you will build models that are directly responsible for ordering millions of dollars of fresh inventory across the world every day; fresh food ordering is an extremely complex high-dimensional decision-making problem! You will tackle these problems with a mix of machine learning, large-scale simulation, and optimization technologies. Your work will be visible from day one, will make a substantial impact on decreasing food waste, and will lead to fresher, healthier produce for millions of people across the world.



  • You will be working on pushing the boundaries of the system's performance on product categories they already live in, as well as expanding the product to entirely new categories. 

  • You will be responsible for implementing new systems end-to-end, including working with product teams to define the business needs of a solution, reviewing research papers and implementing novel ideas, and scaling up experiments to generate predictions and decisions on millions of items every day. 

  • You will experiment with new features, train and validate new models, and push updates to all customers. 

  • You will build a strong understanding of perishable inventory control, time series forecasting, and simulation techniques.

  • Your code must be rigorously validated, tested, and bug-proof.



  • 4+ years of professional software development experience with advanced machine learning or statistical and numerical optimization methods.

  • You have repeatedly and successfully taken complex research ideas from experiment to production, and you write high-quality and high-performance code that lives outside of experiments.

  • Familiarity with forecasting techniques, time series analysis, and large-scale stochastic optimization is a plus.

  • A graduate degree in operations research, computer science, electrical engineering, statistics, or a similar quantitative field.



  • Competitive compensation with equity packages

  • Comprehensive health plans

  • 401k matching

  • Monthly grocery stipend

  • WFH stipend

  • Flexible vacation policy

  • Professional development program