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We are looking for full-stack and platform engineering interns who want to work on real production use cases of LLMs and help us scale to consumer and physician demand. Summer internships are full-time at our office in NYC. In addition to working as part of our Engineering team, you will have the option to spend a portion of your time shadowing or working on a GTM-focused project with our GTM team or CEO. We are flexible on start date, with potential to extend beyond the Summer into the Fall semester.
Job Responsibility:
Take on a specific business problem and lead the prototyping, evaluation, and product integration of AI-powered solutions
Explore both established and emerging methods and determining what gets us to the best outcome
Drive your project independently
Decipher and automate complex, branching workflows for insurance coverage, affordability programs, and fulfillment
Combine AI/ML approaches to achieve high precision document classification, unstructured data extraction, and reference-based question answering
Automate multi-step, path-dependent processes, using a combination of RPA/scraping approaches to navigate and operate third-party platforms
Build a state machine that drives system decisions and handles failure modes across a set of processes
Scale across a growing range of drug classes, patient populations, and provider markets
Make our data and ML pipelines robust to variation and inconsistency in input data formats
Leverage empirical data to build and continuously update our understanding of opaque external systems
Create consumer-grade experiences for patients, physicians, and other users that incorporate intuitive AI-powered workflows
Translate large volumes of heterogeneous data into reliable insights
Develop predictive and simulation models to forecast outcomes
Use real-time data and direct engagement channels to enroll criteria-matching patients and physicians in clinical studies and access programs
Requirements:
Expected graduation date between 2027-2029 with a Bachelor’s degree (or higher) in Computer Science or a related technical field
Strong programming skills and general Computer Science knowledge
Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, figuring out what to build and then iterating
Nice to have:
Previous experience working on full-stack AI projects
Familiarity with or a desire to learn our stack (Python, React, Typescript, PostgreSQL, and Kubernetes)
What we offer:
Fully covered medical, vision, and dental insurance
Memberships for One Medical, Talkspace, Teladoc, and Kindbody
Unlimited paid time off (PTO) and 16 weeks of parental leave
401K plan setup, FSA option, commuter benefits, and DashPass
Lunch at the office every day and Dinner at the office after 7 pm