Staff Applied AI Engineer

About Doximity

Doximity is a digital platform for U.S. medical professionals, with a mission to help physicians be more productive and provide better care for patients. Its engineering organization has long operated as a distributed team and is currently about 65% distributed.

Role

Staff Applied AI Engineer — full-time, based in San Francisco, CA or remote within the U.S.

Responsibilities

• Leverage extensive datasets to optimize, tune, and evaluate AI products for medical professionals.
• Help create product and client-facing analytics.
• Work with product leaders and managers to inform data team strategy, participating in execution and some organizational planning.
• Collaborate with product managers, analysts, and developers to define and lead data projects from ingestion through analysis and recommendations.

Qualifications

• At least 5 years of professional experience as a Data Scientist or in 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, including deep learning architectures, reinforcement learning, and 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, including writing and optimizing complex queries across multiple tables and data relationships.
• Advanced Python skills, including 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, translating technical insights into clear narratives for stakeholders.
• Curiosity, fast learning, and a demonstrated passion for data, continuous learning, and current machine learning research.

Engineering Environment

The team uses UNIX command-line tools, standard programming tools, and Git, with more than 350 private GitHub repositories.

Compensation

The annual U.S. total compensation range is $170,000–$248,000, inclusive of salary and equity, not base salary alone. Individual compensation depends on relevant skills, experience, and education/training. Benefits are not included in this range.

Benefits

• Medical, dental, and vision coverage offerings for employees and their families.
• 401(k) matching and an employee stock purchase plan.
• Family planning support, Childcare FSA, and parental leave.
• Life, AD&D, and disability coverage.
• Generous time off, holidays, and paid company trips.
• Wellness benefits.

Application Information

Candidates are encouraged to apply even if they do not meet every listed qualification. Visa sponsorship is not available for this role.