Company Description

Govini builds software to accelerate the Defense Acquisition Process. Ark, Govini’s flagship product, is a suite of AI-enabled applications, powered by integrated government and commercial data, that solves problems across the entire spectrum of Defense Acquisition, including Supply Chain, Science & Technology, Production, Sustainment, and Modernization. With Ark, the Acquisition community eliminates slow, manual processes and gains the ability to rapidly imagine, produce, and field critical warfighting capabilities. Ark transforms Defense Acquisition into a strategic advantage for the United States.

Job Description

We are seeking a Machine Learning Engineer to join our team to build cutting-edge machine learning technologies that will replace complex, time-consuming, manual processes with automation and intelligence that will help Govini end-users make scientific and analytical decisions. We’re looking for world-class talent to join our team where you will have the opportunity to help develop solutions from data collection to large-scale data manipulation to long-term data storage and low-latency retrieval, reporting, and analytical systems to solve big data problems that drive business performance.

In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You’re uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You’re scrappy. We like scrappy.

This role is a full-time position located out of our office in Pittsburgh, PA.

This role may require up to 10% travel

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
Participate in 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

Qualifications

US Citizenship is required

Required Skills:

Bachelor’s, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
Minimum 3 years experience in hands-on development of machine learning models
Practical experience in building, developing, and productionizing machine learning systems
Advanced software skills in Python
Experience with common NLP algorithms and implementations
Hands-on experience with AWS and cloud infrastructure
A strong desire to learn and investigate new technologies
Familiarity with Git source control management
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:

Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
Experience in or exposure to the nuances of a startup or other entrepreneurial environment
Track record of implementing data-driven products
Experience in or exposure to the nuances of a startup or other entrepreneurial environment
Experience in deploying ML models in Kubernetes environments
2 years of experience developing and deploying modern NLP models

We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, 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.

Scope of Responsibilities

Qualifications

6 month growth

1 year growth

2 year growth