Machine Learning Engineer

Position Overview

We’re looking for a Machine Learning Engineer with a strong background in Bayesian statistics and Convolutional Neural Networks. You’ll be working directly with our CEO and select members of our engineering team to develop and train ML models that help maximize ecommerce profits and improve return on ad spend. You will also have the opportunity to build AI-powered analytics systems that deliver data intelligence and contextually-aware insights into the performance metrics that matter most for online retailers. If you are passionate about machine learning, augmented intelligence, and are looking for a challenging role with huge upside in an early-stage startup, we would love to hear from you.


  • Help design, develop, and train machine learning models for ecommerce applications
  • Iterate and optimize AI/ML solutions for increased performance and scalability
  • Enhance platform features, functions, and capabilities by defining and executing on additional use cases for machine intelligence
  • Support data engineering efforts to ensure seamless and efficient flow between our platform and connected integrations
  • Promote continuous adoption of new technologies and algorithms into our product
  • Analyze and interpret various forms of marketing analytics, digital marketing performance, and business intelligence data
  • Serve as a thought leader and evangelist for the strategic adoption of machine intelligence
  • Contribute your subject matter expertise through occasional articles and case studies

Minimum Qualifications

  • MS degree in Computer Science, Applied Mathematics, Statistics, or related technical field
  • Experience building AI/ML systems using convolutional neural networks, knowledge induction, and statistical relational learning
  • Proficient with machine learning frameworks (TensorFlow, Theano, Spark MLib, etc.)
  • Deep understanding of machine learning techniques, model selection, and system design
  • Advanced proficiency in Python and JavaScript
  • Experience with algorithmic optimization, data mining, and advanced statistical analysis
  • Familiarity with SAS, SPSS, Hadoop, Spark, and Scala
  • Experience analyzing and operating with large scale data from a variety of sources
  • GPU programming experience
  • Familiarity with data exchange technologies such as JSON
  • Experience designing and developing data-driven optimization models and conditional rules engines
  • Possess expertise in API integration and usage
  • Experience designing, validating, and deploying machine learning algorithms, libraries, and/or systems
  • Excellent research, documentation, and communication skills
  • Strong interest and desire to work with machine intelligence in a startup ecosystem
  • Have curiosity, imagination, and a passion for innovation

Preferred Qualifications

  • Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or related field
  • Experience contributing to relevant research communities, conferences, and/or publications (NIPS, CVPR, ICML, IJCAI, ICLR, AAAI, KDD, etc.)
  • Experience developing web-based SaaS applications
  • Experience leading data science initiatives from discovery through deployment
  • Familiarity with Google Cloud Platform, AutoML, and Google APIs


  • Competitive salary plus equity stake in our company
  • Medical, dental, and vision insurance
  • Pick your own tech gear and workstation
  • No-hassle paid time off policy and paid holidays
  • Free coffee, tea, kombucha, and beer
  • Occasional happy hours and company events

How To Apply

To apply for this position, email us at with a copy of your resume and cover letter.