Software Engineer / Field

Boston, MA · Job # 8060BK

Our client company is a venture-backed startup making the application of deep learning practical in the enterprise. Their focus is on helping to automate tedious back-office tasks, and improve the efficiency of labor-intensive document-based workflows. The fundamental branch of technology they use to achieve this is known as transfer learning, which allows them to train machine learning models with orders of magnitude less data than is required by traditional techniques, with a strong emphasis on NLP and text processing.

About the Position:

As a field engineer, you will be a part of the front lines. Your work will be diverse and impactful. A large portion of your day-to-day will involve interacting with customers to educate them on the potential applications of machine learning to their business (don't worry, they'll train you), as well as building prototype products and demos that will feed directly into the product roadmap as users respond. As you work through use cases with customers, and implement prototypes on top of their machine learning platform you'll quickly learn to incorporate machine learning components into system-level thinking, becoming familiar with a powerful new tool that is just starting to be adopted in industry. Field engineers are expected to be highly efficient and resourceful when leading these projects. Each customer presents new challenges and requirements, because of this the ideal candidate is able to adapt quickly to each new situation. Your experience in the field from working closely with customers and building user capabilities rooted in machine learning will be key to their product development decisions.


  • Interact with qualified users and stakeholders, finding the best way to solve their particular needs
  • Communicate with clients to ensure that they are comfortable with the adoption of machine learning
  • Lead client proof of concepts, primarily consisting of small servers with stylish UIs built on top of company’s internal app-building software: microclimate
  • Think critically about new ways to visualize data and make the machine learning process more relatable to end users
  • Provide feedback to product management and marketing as they find gaps in existing product capabilities


  • Self-directed and active learner
  • Communication-focused, comfortable giving regular updates to stakeholders
  • Comfort building basic UIs (React + Redux)
  • Comfort with basic ETL and data science processes (Pandas + sklearn)
  • Comfort building simple backend servers (Python + Tornado)
  • Deep desire to connect with users and help make machine learning a more accessible technology
  • Experience and desire to work with less technical users to help them understand various aspects of technology
  • Travel 20%-30% of the time, meeting with clients in Boston and NYC on occasion


  • Experience in the field of machine learning
  • Comfortable with public speaking and presentation skills
  • Comfortable leading a small scale user-centric product development process
  • 3+ years’ experience in industry
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