Senior Machine Learning Engineer

Pittsburgh, PAFull-TimeSeniorAI / Data Science

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Inform and implement the design and development of NLP applications to enhance the intelligence and efficiency of our data analytics software-as-a-service platform
Review, verify, and aggregate the most appropriate annotated datasets for the best-supervised learning methods
Ability to work with taxonomy experts to create and validate dataset annotation
Use well-formed and effective text representation to change and adapt natural language documents into user-friendly features
implement the latest technology to improve user search functionality as well as integrate state of the art LLM models into our Ark.ai platform to enhance user experience.
Develop new algorithms and modeling techniques and conduct sound experiments to verify model results and integrate models into the live production system
Establish meaningful criteria for evaluating algorithm performance and suitabilityImplement working, scalable, production-ready models and 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 taxonomists, software engineers, data scientists, data engineers, and QA engineers

US Citizenship is Required
Advanced degree, or bachelor’s with at least 3 years of experience, in Data Science, Machine Learning or a related field
Minimum 3 years experience with hands-on development of NLP models
In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling
Practical experience in building, developing, and productionizing both supervised and unsupervised machine learning models
Advanced software skills in Python
Advanced ability in forming SQL queries
A strong desire to learn, investigate, and implement cutting-edge technologies
Ability to work collaboratively throughout the design process.
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
Experience in deploying ML models in Kubernetes environments
Experience developing custom training sets for large language models
Experience productionizing transformer-based models