Principal AI & Machine Learning Engineer

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🔥 0 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $144.2k - $162.2k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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Common App

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1975

📚 Education

☁️ SaaS

Education • SaaS

Common App is a widely used platform that simplifies the college application process for students applying to multiple institutions. It offers resources and tools for students, counselors, and colleges to streamline the application process, promote access and equity, and provide insights through reports. Common App connects students to a wide array of colleges, offering information on financial aid and scholarships, as well as support for transfer and first-year student applications. The platform aims to inspire and facilitate higher education pursuits with a focus on equity and integrity in the admissions process.

📋 Description

• Serve as the technical leader responsible for embedding AI into enterprise workflows and analytic processes • Drive measurable gains in productivity, insight generation, and decision support within the Data Analytics & Research division • Lead applied, production-ready AI/ML initiatives that embed artificial intelligence into enterprise workflows • Partner with Data Engineering, Data Governance, and cross-functional business stakeholders • Ensure AI solutions are scalable, secure, compliant, and aligned with enterprise data strategy • Set standards for AI development practices • Mentor teammates on applied AI techniques • Translate complex machine learning capabilities into enterprise-grade systems • Provide technical guidance, mentorship, and thought leadership within the organization and broader AI and higher education data community • Report to the Senior Director, Analytics Engineering

🎯 Requirements

• Candidates must live in the United States • Willing to travel to attend twice annual Common App Retreat • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a closely related quantitative or technical field; or an equivalent combination of education and experience • 8–10 years of progressive experience in machine learning, AI engineering, or data science, with at least 3 years focused on applied AI and production ML systems • Experience integrating LLMs and generative AI into enterprise analytic or operational workflows • Experience working within enterprise data governance and compliance frameworks • Expertise in supervised and unsupervised learning, natural language processing, and large language model integration • Experience designing and deploying production-grade AI/ML systems and end-to-end ML pipelines covering training, evaluation, versioning, deployment, and monitoring • Proficiency in R and Python for machine learning and AI development • Familiarity with scikit-learn, PyTorch, TensorFlow, or equivalent • Experience building and operationalizing LLM-powered applications, including prompt engineering, retrieval-augmented generation (RAG), and tool/agent orchestration frameworks • Strong SQL skills • Experience with large-scale cloud data platforms such as Databricks, Snowflake, or BigQuery • Ability to design AI-ready data pipelines within enterprise warehouse environments • Knowledge of AI governance, responsible AI principles, and compliance considerations for systems handling sensitive or personally identifiable data • Ability to serve as a senior technical individual contributor, set standards, make architectural decisions, and mentor peers without formal management authority • Strong interpersonal and communication skills for translating complex AI/ML concepts to non-technical stakeholders and executive audiences • Ability to manage multiple competing priorities and deliver high-quality AI solutions in a fast-paced, collaborative environment • Master’s or doctoral degree, relevant AI/ML or cloud certifications, Agile experience, agentic AI framework experience, Databricks AI/MLflow/Model Serving/Genie familiarity, higher education/nonprofit experience, and advanced statistics or causal inference training are ideal-candidate qualifications, not required qualifications

🏖️ Benefits

• Work-Life balance • Virtual-first office • Paid Time Off (PTO) • Seven company-wide holidays • Nine floating holidays • Sick leave • Monthly mental health day • Choice of PC or MAC laptop • External monitor, keyboard, mouse, and/or headset • One-time office set-up stipend • Monthly remote work stipend • Monthly mobile stipend • Market-based salaries • Performance-based bonus • 403(b) retirement plan with 5% company contribution • Additional 5% company match • 3-year vesting schedule • Participation may begin immediately • Choice of two health insurance plans • Health Savings Account, depending on health plan selection • Medical Flexible Savings Account, depending on health plan selection • Vision insurance • Dental insurance • Insurance coverage begins on the date of hire • Dependent Care Flexible Spending Account • Maven virtual clinic for women’s and family health • Company provided life and AD&D insurance • Opportunity to purchase additional life insurance for self, spouse, and dependents • Company provided short and long-term disability insurance • Budgeted annual funds for professional development • Growth opportunities within the company • Mutual of Omaha Employee Assistance Program • Mutual of Omaha will preparation services • Mutual of Omaha travel assistance • Payroll deduction pet insurance through PinPaws • 1Password family account • Diverse, collaborative, team-oriented, creative environment