Senior Machine Learning Engineer at Govini | Powderkeg

Location: Pittsburgh, PA

Employment Type: Full-Time

Team: Decision Science

Company Description

Govini is a decision science firm dedicated to transforming the business of national security through data science and machine learning. Through its National Security Knowledge Graph and Decision Science Platform, Govini delivers objective, decision-grade information at scale to the national security enterprise, so that leaders can better direct investments to innovation and modernization. Govini has offices in Arlington, Virginia, San Francisco, California, and Pittsburgh, Pennsylvania.

Job Description

We are seeking an exceptional Senior Machine Learning Engineer to join us as we build cutting-edge machine learning technologies. Your work will replace complex, time-consuming, and manual processes with automation and intelligence that will help Govini end-users make scientific and analytical decisions.

In this role, you will have the opportunity to develop solutions from initial data collection to data manipulation at large-scale. You will aid in defining our approach to long term data storage and low-latency retrieval. Your contributions will advance Govini’s reporting and analytical systems and solve big data problems that drive business performance. You will be a core member of the Decision Science team, utilizing your expertise in building high quality solutions and implementing well-designed models to impact the development of the team and deliver a transformative product.

This is a team member position, working onsite in our Pittsburgh, PA office.

Scope of Responsibilities

  • Actively create, architect and deliver state of the art machine learning solutions designed to add intelligence to our data analysis and software-as-a-service platform
  • Establish meaningful criteria for evaluating algorithm performance and suitability
  • Develop clear software specifications for implementing trained models
  • Implement working, scalable, production-ready Machine Learning and AI Process Automation models and code
  • Optimize processes for maximum speed, performance and accuracy
  • Lead the end-to-end software development of new feature functionality and design capabilities
  • Craft clean, testable and maintainable code
  • Keep up to date with Machine Learning best practices and evolving open source frameworks
  • Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
  • Collaborate closely with fellow software engineers, data scientists, data engineers and QA engineers


  • Must be able to work in the United States without visa sponsorship now or in the future

Required Skills

  • Bachelor's, Master’s or Doctorate degree in Computer Science, Computer Engineering or a related field
  • Minimum 5 years building production-grade code for a product organization with at least 3 years experience in hands-on development of machine learning models
  • Practical experience of building, developing and productionizing machine learning systems
  • Advanced software skills in Python
  • Experience in NLP
  • Hands-on experiences with AWS and cloud infrastructure
  • A strong desire to learn and investigate new technologies
  • Prior hands-on experience working with data-driven analytics
  • Ability to work collaboratively with little supervision
  • A burning desire to work in a challenging fast paced tech environment

Desired Skills

  • Track record of implementing machine-learning based capabilities in user-facing products
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment

We firmly believe that past performance is the best indicator of future performance. If you thrive in ambiguity, are a self-starter, and care about solving technical problems in the national security domain, we’re eager to hear from you.

Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Job Summary
  • Job Title
    Senior Machine Learning Engineer
  • Company
  • Location
  • Employment Type
    Full time
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