Collaborate with cross-functional teams to understand business challenges and requirements, identify AI-driven opportunities, and ensure effective deployment of AI solutions.
Experiment and implement cutting-edge AI/ML solutions (such as natural language processing, deep learning, and predictive analytics, graph) to transform structured and unstructured data into business-critical insights.
Continuously review and analyze academic research and industry publications, evaluate state-of-the-art AI/ML methodologies, and prototype innovative solutions to address real-world business problems.
Evaluate and refine AI models to enhance accuracy, efficiency, trustfulness and business impact in decision-making processes.
Clearly articulate methodologies, results, and insights to non-technical users and stakeholders, and present AI-driven recommendations to senior leadership to ensure strategic alignment and impact.

Requirements

Bachelor’s degree in statistics, applied mathematics, computer science, engineering, or a related quantitative discipline is required.
Master’s or PhD in a quantitative field such as statistics, applied mathematics, computer science, engineering, or a related discipline from an accredited college or university is preferred.
4–6 years of industry experience solving business problems through the application of statistical modeling, machine learning, deep learning, generative AI, and Retrieval-Augmented Generation (RAG) techniques.
Advanced knowledge of traditional machine learning and deep learning foundations and algorithms, including classification, regression, clustering, transformer, reinforcement learning, and anomaly detection.
Solid understanding of Natural Language Processing (NLP) techniques and Generative AI (GenAI) applications.
Strong hands-on experience with Python and relevant packages (e.g., Transformers, LangChain, LangGraph, AG2, vLLM, pydantic, etc.).
Excellent problem-solving skills and ability to work collaboratively in a team setting.

Benefits

Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdeep learningnatural language processingpredictive analyticsstatistical modelinggenerative AIRetrieval-Augmented Generationclassificationregressionanomaly detection

Soft Skills

problem-solvingcollaborationcommunication