Applied Machine Learning Intern (Remote)

Bay Area, CA /
Engineering – AI/ML Interns /
Internship
Our mission at Curai is to make high-quality healthcare accessible to all. We are fulfilling this audacious mission by building a virtual-first primary care service. Blending high-touch clinical care augmented with artificial intelligence, we are building a scalable primary care model that provides patients with quality care anytime, anywhere, from their mobile phones at a very affordable price. 

Our company is remote-first and we consider candidates across the United States.

At Curai, we have two machine learning teams, the ML Research team focusing on the medium to long term research and the ML Applications team focusing on continuous improvement of the automation technology, including research that leads to product impact. We have a vibrant environment of collaboration between the teams. 

We are looking for an applied ML intern hosted on our research team while working closely with the ML Applications team. We support applied ML interns by pairing them with both an ML researcher mentor and an ML engineering mentor. In this role, the intern will (1) extend an existing research project and (2) build the engineering service for deployment. Thus, the intern gets the taste of both modeling and ML engineering work. Our mission drives team members, and we play a vital role in influencing our company's technical/ML direction for hybrid ML-practitioner primary care.

Who You Are : None of these individually are hard requirements but they do describe the type of folks that we think would be most effective and happy at Curai. You…

    • Are a self-starter and have a growth mindset.
    • Enjoy tackling both modeling and engineering problems in a scientific and data-driven way.
    • Are excited by the complexity of healthcare and view the challenges of medical space as opportunities.
    • Are collaborative and appreciate working with people with diverse expertise.

What You’ll Do: A day in the life as a Curai Applied ML Intern is spent doing things like:

    • Extending an existing research project and implement components and services necessary for the production deployment of the model on AWS.  
    • Implementing components for automated retraining and validation pipelines to continuously improve and validate the model.
    • Developing task-specific UI components to enable the data-labeling team to efficiently label data for the automated retraining and validation pipelines. 
    • Gaining hands-on experience with cloud infrastructure tools like AWS and workflow orchestration tools like Dagster and Github Action.

What You'll Need:

    • Senior undergrad or graduate students who have an introduction to machine learning.
    • Proficient in Python and in model development frameworks (e.g., PyTorch, TensorFlow).
    • Prior experience in an industry internship is valued.
    • Exposure to applications of ML/NLP in healthcare is valued but not required.
    • Prior experience in developing front-end applications, especially for data labeling, is valued but not required.
What We Offer

Culture: Mission driven talent with great colleagues committed to living our values, collaborating and driving performance
Pay: Competitive compensation 
Wellness: Flexible working hours and remote working options
Internship Program: Collaborate with fellow interns in your cohort, participate in professional development session , and engage with Curai-ans in intern-led social events 

Curai Health is a startup with a small, but world-class team from high tech companies, AI researchers, practicing physicians, to team members from non-traditional career paths and backgrounds.. We also have research partnerships with leading universities across the country and access to medical data that facilitates research in this space. We are a highly collaborative, data-driven team, focused on delivering our mission with funding from top-tier Silicon Valley investors including Morningside, General Catalyst, and Khosla Ventures.

At Curai Health, we are highly committed to building a diverse and inclusive environment. In keeping with our beliefs and values, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. To promote an equitable and bias-free workplace, we set competitive compensation packages for each position and do not negotiate on our offers. We are looking for teammates that are mission-driven, embody our core values, and appreciate our transparent approach.