Machine Learning Engineer

Work Remote, United States

Join the Warecorp development team!  Warecorp has been named in the Inc 5000 fastest growing small businesses for the 2nd year in a row.  We're adding team members to both our North American team as well as our European team.  This position is for a machine learning engineer familiar with text mining, text classification, and deep learning theory from a development and implementation perspective. This is a full-time or contract position.

Minimum Required Qualifications

  • Hands-on experience in analysis, design, coding, and implementation of complex, custom-built software applications.
  • Comfortable with making calls to APIs, writing basic SQL, and have an understanding of what NoSQL is.
  • Knowledge of and exposure to software best practices like Test-Driven Development (TDD), SOLID and Continuous Integration (CI)
  • Developing and maintaining Bots, framework like Microsoft, AWS or telegram Knowledge of multiple back-end languages ( Java, Python)
  • Familiarity with databases (e.g. MySQL, preferred MongoDB or DynamoDB), web servers (e.g. Apache)
  • Good Object-Oriented skills, including knowledge of design patterns
  • Experience working with, or an interest in Agile Methodologies, such as Extreme Programming (XP) and Scrum Knowledge in Software Infrastructure (DevOps).
  • Reading about infrastructure as code will be beneficial.
  • Overview of AWS API and Docker and Kubernetes AWS Sage maker
  • Proficiency with text mining and text classification techniques using classic ML Knowledge of machine learning theory and frameworks like sickie-learn / pandas
  • Exposure to Deep Learning theory and environments like Theano, TensorFlow, Torch or Caffe Proficient of NLP fundamentals and libraries like flair, NLTK, Stanford NLP or RASA, any one or more
  • Experience with Python, open source software, and cloud services on AWS
Ideal Skills
MongoDB (Skilled)
SQL (Skilled)
DynamoDB (Skilled)
Python (Skilled)
Java (Skilled)
Software Architecture (Skilled)
TensorFlow (Skilled)
  • Working on end-to-end software delivery projects as a software developer
  • Ability to support ideation to deployment and hyper care of solutions and products in a fast-changing environment.
Must Have
  • Python
  • Deep Learning theory
  • Database familiarity
Nice to have
  • Fluency in English (written and verbal)
  • Undergraduate in the sciences or engineering or arts
  • Undergraduate or masters in computer science or related field
  • Training certifications in software development.

What's great at Warecorp?

  • Founded in 2004 with both loyal long-term and start-up partners
  • Recognized as an Inc 5000 fastest growing small business for 2nd year in a row
  • Experienced team of 80+ members to both learn from and mentor
  • Partnering with enterprise R&D groups, startups, and venture capital firms
  • Wide range of technologies across industries to build up skills based on interest
  • Small company culture of getting work done versus heavy process and meetings

What We Offer

Join the growing Warecorp team to make a real contribution to the success of the company and advance your career. We partner with leading companies to solve their hardest problems and you get to be part of their success as well. To make sure you love that process, we've created a unique working environment.


Work from home or be a digital nomad. We've been fully remote since our founding. Co-working space available in select locations.

Unique Benefits

Premium healthcare and dental plans fully paid by Warecorp. Internet and cell phone stipends and high-end technology provided as needed. Our developers get great tools.


Up to 4 weeks paid vacation (more if local laws dictate)
Unlimited PTO, as long as projects fulfilled

Humanistic Allocation

Bi-weekly capacity planning routine ensures we are not overloading your schedule and ensures that our projects are properly staffed.

Warecorp is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status