Software Engineer (AI/ML) – Logistics Optimization Algorithms
Location: Denver, CO – Relocation Offered. Remote work is not possible for this role.
As an engineer at ShaleApps, you will have a sense of ambition and passion to change the world using AI, Data Modeling, and Deep Learning. You will get to work directly with our data science driven CEO, and a very strong team of engineers in defining the frontier of logistics optimization.
What kind of person thrives at ShaleApps?
We encourage you to apply only if you resonate with the mission and values we articulate here. People who thrive at ShaleApps often say this is the hardest they have ever worked and that they achieved levels of personal and professional growth here they didn’t previously imagine possible.
We have multiple openings available. Here are some examples of projects we currently need help with:
Determine novel mechanisms by which to optimize payload delivery
Build and iterate on models to predict the demand for commodities at nodes in a logistics network
Build and iterate on models to predict the availability of supply of transporters, drivers, and commodities
Build and iterate on models to model road congestion, traffic, and wait times based on historical data and future demand predictions
Develop models for analysing satellite and drone photography to forecast demand for commodities
Here are some qualifications we look for:
3+ years experience developing machine learning models from inception to business impact. Leadership opportunities also available.
Experience building and using cloud solutions
Deep understanding of machine learning techniques such as optimization, deep learning, reinforcement learning, recurrent neural networks (RNN) and dynamic bayesian networks (DBN)
Great written and verbal communication skills when working with local and remote cross functional team members
Fluency in Go, Python, R, or other programming languages
Experience working with RESTful APIs
Experience working with discrete event simulation techniques is a plus
Advanced degree in a quantitative field is a plus
Experience productionizing machine learning models is a plus
At ShaleApps we are committed to developing our employees and providing them exciting opportunities to grow and prosper in their professional careers. We encourage you to visit our careers page to read about our DNA and culture.
We offer a competitive benefits package as well as numerous additional perks including:
Competitive Salary with Cash Bonus or Equity Plan
Health, Dental and Vision Insurance
401k with matching
Modern office space in downtown Denver with bike storage, fitness center with yoga studio, free weights, treadmills, & other equipment
RTD pass, Uber credit, or parking pass
Daily breakfast provided, in addition to fresh fruit, coffee, tea & snacks throughout the day
Weekly happy hour
Hardware of your choosing
ShaleApps is an Equal Opportunity Employer.
Disclaimer: This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned.