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.

RESPONSIBILITIES:

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.

SKILLS:

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.

PERKS:

Competitive compensation with equity packages
Comprehensive health plans
401k matching
Monthly grocery stipend
WFH stipend
Flexible vacation policy
Professional development program

Machine Learning Engineer | Mission Driven Startup!