
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
📚 Education
💰 Series A on 2019-12
Artificial Intelligence • Enterprise • Education
Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
📚 Education
💰 Series A on 2019-12
Artificial Intelligence • Enterprise • Education
Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.
• Deliver multi-geography projects for healthcare organizations • Collaborate with Cloud, Software, and Data Engineering teams • Design, build, and evaluate healthcare solutions • Develop high-level solution architectures • Ensure responsible AI practices • Lead technical discussions and mentor senior resources • Contribute to a collaborative team culture
• Ph.D grad with 1+ years related industry experience OR Masters grad with 4+ years industry experience • Industry experience through multiple major product releases in a commercial SaaS environment • Hands-on experience with healthcare data (e.g. EHR, ADT, clinical notes) • Proficiency in Python • Proficiency in Java or other languages is helpful • Proficiency with SQL and data engineering for AI/ML applications • Experience with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks) • Solid understanding of transformer models and LLM-based approaches • Experience with modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM • Experience using public cloud infrastructure (Azure, AWS, or Google Cloud) • Strong communication and collaboration skills
• Work where innovation happens • Upskill and discover your potential • Impact at one of the fastest-growing AI-first digital engineering companies • Collaborative team culture • Opportunities to learn and grow
Apply Now🕒 5 days ago
Postdoctoral Scholar in AI Research at KoBold Metals developing methods for mineral exploration and characterization. Collaborating at Stanford Mineral-X with industry partners for data acquisition and analysis.
🕒 6 days ago
Applied AI Scientist developing AI-native Healthcare Revenue Operating Systems for R1. Engineering clinical AI agents and supervised ML Models to enhance healthcare efficiency.
🇺🇸 United States – Remote
💵 $140k - $300k / year
💰 $3.1M Seed Round - Phare Health on 2023-11
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧠 AI Research Scientist
🕒 6 days ago
Applied AI Engineer/Scientist at R37 Lab developing systems for clinical AI agents. Responsible for building, evaluating, and improving AI-driven healthcare solutions.
🇺🇸 United States – Remote
💵 $140k - $300k / year
💰 $3.1M Seed Round - Phare Health on 2023-11
⏰ Full Time
🟠 Senior
🧠 AI Research Scientist
🕒 May 28
Applied AI Scientist III developing solutions using AI technologies to enhance healthcare operations. Evaluating emerging technologies and collaborating with teams to drive innovation.
🇺🇸 United States – Remote
💵 $94.1k - $164.8k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧠 AI Research Scientist
🦅 H1B Visa Sponsor
🕒 May 27
Sr Machine Learning Engineer developing AI-enabled Security/Observability platforms at Cribl. Integrating cutting-edge AI/ML technologies to solve real customer problems with a focus on collaboration and innovation.
🇺🇸 United States – Remote
💵 $185k - $215k / year
⏰ Full Time
🟠 Senior
🧠 AI Research Scientist
🦅 H1B Visa Sponsor