Doximity
Staff Applied AI Engineer
San Francisco, CA or Remote (U.S.) · Staff+ · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$23,149 more — $193,149 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $193,149 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do.
- One of Doximity's core values is stretching ourselves.
- Even if you don't check off all the boxes below we encourage you to apply.
Responsibilities
- Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it!
Requirements
- At least 5 years of professional experience as a Data Scientist or other related roles working with complex, high-volume datasets.
- Advanced SQL proficiency - skilled at writing and optimizing complex queries across multiple tables and data relationships.
- Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training.
Compensation
- The US total compensation range for this full-time position is $170,000 - $248,000 (inclusive of salary + equity).
- The range displayed on each job posting reflects the approximate total target compensation for the position across the US.
- Within the range, individual pay is determined by factors including relevant skills, experience, and education/training.
- Please note that the compensation listed does not include benefits.
Benefits
- Doximity is transforming the healthcare industry.
- We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system.
- More on /Benefits/Perks
- Doximity is proud to offer industry-leading benefits to our full time employees.
- Medical, dental, vision offerings for you and your family
- Employee stock purchase plan
Company info
- Here are some of the ways we bring value to doctors
- Here is an introduction to our tech stack
- We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and open-source projects
- We have worked as a distributed team for a long time
- Find out more information on the Doximity engineering blog
- Our company core values
- Our recruiting process
- Our product development cycle
- Our on-boarding & mentorship process
- Leverage Doximity's extensive datasets to optimize, tune and evaluate AI products for medical professionals on our platform.
- Play a key role in creating both product and client-facing analytics.
- Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy.
- Collaborate with a team of product managers, analysts, and other developers to define and lead data projects from data ingestion to analysis to recommendations.
- We have worked as a distributed team for a long time; we're currently about 65% distributed
Visa & Work Authorization
- Visa sponsorship is not available for this role.
This listing is sourced directly from Doximity's careers page and normalized into a canonical job model.