Senior Data Engineer

About Rad AI

We have raised $80+ million to date from venture funds and just closed on our series B financing with investors Khosla Ventures, Gradient (Google’s AI fund) and ARTIS. We’ve also formed a partnership with Google to collaborate on the future of generative AI to redefine healthcare. Currently, more than 1/3 of radiology groups and healthcare systems, including Kaiser Permanente, HCA Healthcare, and Geisinger, now leverage the latest Gen AI advancements from Rad AI. We're recognized as one of the most promising healthcare AI companies by both CB Insights and AuntMinnie. Come join us in transforming healthcare with AI!

Founded by the youngest US radiologist in history, Rad AI empowers physicians with Al to save time, reduce burnout, and improve the quality of patient care. By combining our deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, our AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%. 

Why Join Us: 

We are seeking a Senior Data Engineer to join our engineering team. Given our large client growth and projected movement in the year ahead, we're seeking to expand this team and add a strong resource on board who will play an instrumental role in the construction and maintenance of data collection systems, pipelines and management tools.

What You’ll Be Doing: 

• Design and implement the data architecture, ensuring scalability, flexibility, and efficiency using pipeline authoring tools like Metaflow and large-scale data processing technologies like Spark.

• Define and extend our internal standards for style, maintenance, and best practices for a high-scale data platform.

• Collaborate with researchers and other stakeholders to understand their data needs including model training and production monitoring systems and develop solutions that meet those requirements.

• Take ownership of key data engineering projects and work independently to design, develop, and maintain high-quality data solutions.

• Ensure data quality, integrity, and security by implementing robust data validation, monitoring, and access controls.

• Evaluate and recommend data technologies and tools to improve the efficiency and effectiveness of the data engineering process.

• Continuously monitor, maintain, and improve the performance and stability of the data infrastructure.

Who We’re Looking For: 

• 4+ years relevant experience in data engineering. 

• Expertise in designing and developing distributed data pipelines using big data technologies on large scale data sets.

• Deep and hands-on experience designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments.

• Solid experience with big data processing and analytics on AWS, using services such as Amazon EMR and AWS Batch.

• Experience in large scale data processing technologies such as Spark.

• Expertise in orchestrating workflows using tools like Metaflow.

• Experience with various database technologies including SQL, NoSQL databases (e.g., AWS DynamoDB, ElasticSearch, Postgresql).

• Hands-on experience with containerization technologies, such as Docker and Kubernetes.

• Prior Software Engineering experience is a big plus.

Nice to Haves: 

• Experience working at an early stage startup.

• Experience in a HIPAA compliant environment.

• Experience working on machine learning or healthcare related projects.

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team.

If you're passionate about driving innovation and delivering impactful reporting solutions, we'd love to hear from you!

Rad AI offers a variety of benefits, including:

• Comprehensive Medical, Dental, Vision & Life insurance

• HSA (with employer match), FSA, & DCFSA 

• 401(k)

• 11 paid company holidays

• Location-flexibility (remote-first company!)

• Flexible PTO policy

• Annual company-wide offsite

• Periodic team offsites

• Annual equipment stipend

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.