Doximity currently has 1 active AI-related role in our index. The most common open titles are: Staff Data Scientist, AI/ML. Most positions are in Engineering.
Doximity's active AI hiring is concentrated in: post-training (100%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Doximity is hiring AI talent in: United States (1 role).
In the past 30 days, Doximity has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Staff Data Scientist, AI/ML Staff Data Scientist at Doximity focused on optimizing, tuning, and evaluating AI products for medical professionals. The role involves leveraging extensive datasets, designing and training large-scale models using frameworks like PyTorch or TensorFlow, and applying advanced machine learning techniques including LLM fine-tuning methods (SFT, DPO, RFT). The position requires strong statistical concepts, advanced SQL and Python skills, and experience with distributed data processing. | Post-train | 8 |
| Data Engineering & Analytics Intern Intern role focused on data engineering and analytics within a healthcare company, contributing to the measurement, analysis, and evolution of AI-powered products. Involves working with production datasets, supporting data pipelines, and collaborating on LLM-based approaches. | Data | 5 |
| Data Engineering Manager Data Engineering Manager role at Doximity, a healthcare technology company. The role involves managing a team of data engineers, establishing data architecture processes, and collaborating with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks. The ideal candidate has experience as a data engineer and people manager, with a working knowledge of ML/AI deployment and monitoring. | — | 5 |
| Senior Salesforce Administrator Senior Salesforce Administrator role focused on configuring and utilizing the organization's CRM platform, acting as a subject matter expert to craft solutions for business needs, and documenting processes. Requires 5+ years of Salesforce administration experience. | — | 0 |
| Senior Software Engineer, Android (Kotlin) Senior Software Engineer, Android (Kotlin) role at Doximity, a healthcare technology company. The role focuses on building and maintaining native Android apps used by healthcare professionals, with a strong emphasis on Kotlin, Jetpack Compose, and Clean Architecture. The position is remote within the U.S. and involves collaborating with cross-functional teams, architecting code, and mentoring other engineers. | — | 0 |
| Data Analyst, Reporting Partnerships This role focuses on generating and maintaining Python and SQL-based client reports for a healthcare network. Responsibilities include developing new scripts, conducting quality assurance, and assisting teammates with technical questions. The role requires strong SQL and Python skills, client-facing experience, and attention to detail. | — | 0 |
| Data Analyst, Business Intelligence This role focuses on leveraging Doximity's healthcare data to provide client-facing analyses and build reusable data products. The analyst will work with cross-functional teams to discover data insights and classify behavioral patterns of medical professionals on the platform. | — | 0 |
| Engineering Manager Seeking a senior Engineering Manager with a strong background in Ruby on Rails to lead a team of 3-5 software engineers. The role involves a 70-80% individual contribution split, focusing on technical direction, code reviews, and product development, alongside people management responsibilities including career growth and performance reviews. The company is transforming the healthcare industry and values pragmatic, hands-on engineers. | — | 0 |
| Software Engineer (Ruby/Rails), Advertising Platform Software Engineer with Ruby on Rails experience to build and maintain a native advertising platform for a medical network. The role involves full-stack development, collaborating with product and data teams, and scaling distributed systems. | — | 0 |