Staff Applied AI Engineer

Doximity; United States; Remote; USD 170,000 - 248,000; Full time

Benefits offered by this job

Medical, dental, vision

401k with matching

Employee stock purchase plan

Family planning support

Life, AD&D, and Disability

Generous time off

Wellness benefits

Job summary

Doximity is seeking a Data Scientist to optimize AI products for medical professionals on our platform. You will work with large-scale healthcare datasets and collaborate with product managers and engineers to drive analytics from data ingestion to actionable recommendations.

You should have 5+ years in data science, strong SQL and Python, and experience with PyTorch or TensorFlow, ML methods, and production ML.

Qualifications

• 5+ years of professional experience as a Data Scientist or similar.
• Advanced knowledge of statistics, exploration, and experimental design.
• Deep understanding of ML techniques including deep learning and LLM fine-tuning.
• Experience designing, training, and evaluating large-scale models with PyTorch or TensorFlow.
• Advanced SQL skills for complex queries across multiple tables.
• Advanced Python skills and production-grade code design.
• Experience with distributed data processing for scalable analysis.
• Strong data visualization and storytelling abilities.
• Curious, fast learner with passion for staying current in ML research.

Responsibilities

• Leverage extensive datasets to optimize, tune and evaluate AI products for medical professionals.
• Create product and client-facing analytics to inform decision making.
• Inform data team strategy by collaborating with product leaders and managers.
• Lead data projects from data ingestion to analysis and recommendations with a team.

Skills

Data Science

SQL

Python

ML & DL

Distributed Computing

Data Visualization

Experimentation

Communication

Job description

the company is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. 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.

One of the company's core values is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. the company is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it!

Visa sponsorship is not available for this role.

About Us

• 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; we're currently about 65% distributed
• Find out more information on the the company engineering blog
• Our company core values
• Our recruiting process
• Our product development cycle
• Our on-boarding & mentorship process

Here's How You Will Make an Impact

• Leverage the company'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.

About you

• At least 5 years of professional experience as a Data Scientist or other related roles working with complex, high-volume datasets.
• Advanced knowledge of statistical concepts — particularly exploratory data analysis, experimental design, and probability theory.
• Deep understanding of modern machine learning techniques, including deep learning architectures, reinforcement learning, and large language model (LLM) fine-tuning methods such as Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Fine-Tuning (RFT).
• Proven ability to design, train, and evaluate large-scale models using frameworks such as PyTorch or TensorFlow.

• Advanced SQL proficiency — skilled at writing and optimizing complex queries across multiple tables and data relationships.
• Advanced Python skills, including understanding of object-oriented programming, production-grade code design, and modern data science libraries.
• Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training.
• Excellent data visualization and storytelling abilities, with the capacity to translate technical insights into clear, compelling narratives for stakeholders.
• Curious, fast learner with a demonstrated passion for data, continuous learning, and staying current with advances in machine learning research.

Compensation

The US total compensation range for this full-time position is $170,000 - $248,000 (inclusive of salary + equity). Our ranges are determined by role and level. 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.

More on /Benefits/Perks

the company is proud to offer industry-leading benefits to our full time employees. Some of our offerings include:

• Medical, dental, vision offerings for you and your family
• 401k with matching program
• Employee stock purchase plan
• Family planning support, Childcare FSA, and parental leave
• Life, AD&D, and Disability
• Generous time off, holidays and paid company trips
• Wellness benefits…plus many more!

More About the company…

For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. the company enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, the company is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members.

Joining the company means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit the company.com.

EEOC Statement

the company is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.