Principal Full Stack R&D Engineer

| Remote | Hybrid
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Company HQ in Boston, MA - Remote candidates welcome. East Coast timezone preferred.


Experience: 8+ years professional experience


Overview

Indico is a venture-backed startup making the application of deep learning practical in the enterprise. Our 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 we use to achieve this is known as transfer learning, which allows us 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 the principal full-stack engineer on the R&D team your work will be diverse and impactful. You will work closely with Indico’s machine learning engineers to help explore the bleeding edge of artificial intelligence. Common tasks will include terabyte-scale dataset collection and management; architecting and developing full stack applications with a heavy emphasis on user interaction and data visualization; and helping to develop and maintain Indico’s open source ML libraries.. We’re firm believers that production machine learning workflows should place at least as much emphasis on the teacher (the human) as the learner (the model). We're looking for generalists who enjoy using a broad range of technologies to solve a wide range of problems. We'll help fill the gaps in your machine learning knowledge and help you stay up to speed in the ever evolving field.


About You

You are a technically skilled individual with a creative mindset who loves that moment when a new project comes to life for the first time. You think that hackathons are a blast, and love picking up new tools. You are comfortable working with ambiguity and uncertainty and understand that many problems have no right or wrong answer. You're invested in having a life outside of work that is bolstered by a fulfilling job, not dominated by it. You look out for others and it shows in your willingness to sit down and hear out whatever needs or feedback other team members have in order to foster constructive conversation about personal and professional growth. With all that in mind, most importantly you have fun with it!

Responsibilities

  • Architect and build novel data annotation interfaces
  • Build exploratory tooling to identify error modes in machine learning models 
  • Build data visualizations focused on data exploration and system-level explainability
  • Build complex data pipelines using a combination of traditional data mining techniques and modern transfer learning models.
  • Think critically about new ways to visualize data and make the machine learning process more relatable to end users
  • Participate in conversations with Indico’s end customers to better understand their needs and values

Requirements

  • Self-directed and active learner
  • Expertise with modern frontend frameworks
  • Comfort building simple backend servers
  • Comfort with large-scale data mining techniques
  • Comfort with scientific python tooling
  • Comfortable speaking directly to end customers

Bonus

  • An interest in machine learning 
  • Deep desire to connect with users and help make machine learning a more accessible technology
  • Likes to laugh and will tolerate our terrible puns 



Indico is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.


EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our People Operations Team. The People Operations Team at Indico requests that external recruiters/staffing agencies not to contact Indico employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with Indico.


Unsolicited Resumes

Indico will not accept unsolicited resumes from any source other than candidates themselves for either current or future positions. Submission of unsolicited resumes in advance of an agreement between the People Operations Team and the external recruiter/staffing agency does not create any implied obligation on the part of Indico.


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Location

Indico Data's Boston HQ is currently out of Venture Lane near Governments Center. We have team members spread across the United States but the majority of the team is still in Boston and a few folks come in occasionally to use the co-working space!

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