Remote Embedded Machine Learning Jobs in Chicago, IL

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

At Tempus, we are pursuing a mission to redefine precision medicine through data-driven insights. The AI Products group is a multidisciplinary group of AI scientists and engineers focused on developing AI-driven precision medicine and therapeutic solutions across the clinical and drug development lifecycle.

As a Staff AI Scientist, you will operate at the intersection of machine learning and clinical science. You will research, design, and deploy cutting-edge multimodal AI models that leverage one of the world's largest clinical and molecular datasets-transforming patient care at a massive scale.

Key Responsibilities

• Technical Leadership: This is a high-impact individual contributor role, while significant hands-on contribution is expected. Architect and lead the development of AI-intensive projects from initial research to production-ready design.

• Algorithmic Innovation: Design and train state-of-the-art models utilizing multi-modal data, including but not limited to pathology slides (WSI), genomic profiles (DNA/RNA), spatial omics, and longitudinal patient records.

• Collaboration with Life Sciences Companies: Develop sophisticated AI solutions to support biomarker discovery, therapy outcome prediction, and the advancement of Companion Diagnostics (CDx).

• Regulatory Alignment: Ensure all AI products meet stringent regulatory guidelines and quality standards for healthcare applications.

• Scientific Contribution: Maintain Tempus's position as a thought leader by publishing original research in high-impact venues and engaging with the global AI research community.

Qualifications

We value diverse perspectives and recognize that outstanding talent doesn't always follow a linear path. If you are passionate about this work and believe you have what it takes to thrive here, please apply even if you do not precisely match all the qualifications below.

• Education: Ph.D. in Computer Science, or a related quantitative field.

• Professional Experience: 3+ years of industry experience leading end-to-end development of machine learning models, from research and experimentation to validation and production deployment.

• Domain Expertise: Demonstrated expertise in large-scale deep learning and training production-grade models is required. Experience in computer vision and multimodal modeling (pathology, multi-omics, etc.) is preferred. Prior work in medical or healthcare AI is highly valued but not required.

• Research Excellence: A strong track record of peer-reviewed publications in leading machine learning or computer vision venues. Publications in medical or healthcare AI venues are preferred.

• Engineering Excellence: Proficiency in Python and the modern deep learning stack (e.g. Pytorch). Strong product-level coding skills for model development are essential, along with a solid understanding of industry-standard software engineering and development practices.

#LI-BL1

New York Pay Range - $220,000-$260,000USD

California Pay Range - $220,000-$260,000USD

Illinois Pay Range - $200,000-$240,000USD

Remote - USA Range - $200,000-$240,000USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.