Machine Learning Engineer

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

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

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 deploying ML models in Kubernetes environments
2 years of experience developing and deploying modern NLP models