We are a dynamic team that is revolutionizing home medical testing with AI-driven disease prediction. This individual will play a pivotal role in disease classification models that impact patient care. The ideal candidate is able to build deep learning computer vision models, and has a passion for driving research that makes a difference. We are seeking availability for a minimum of 10 hours per week. There is an opportunity to convert to a full time role.

Key Responsibilities

Build, train new deep learning models and refine/enhance existing machine learning models to identify and analyze various disease states, ensuring high accuracy and reliability for practical application.
Independently manage the full lifecycle of AI projects, including data collection, augmentation, model training, evaluation, deployment, and continuous monitoring.
Develop innovative strategies and apply novel computer vision or deep learning techniques to overcome challenges associated with limited datasets and leverage pre-existing open-source models and academic research to achieve production-grade model quality.
Conduct algorithm evaluations and validations rigorously to ensure model performance and consistency in real-world scenarios.
Effectively communicate complex data insights and model trade-offs to stakeholders of diverse technical backgrounds.
Commit a minimum of 10 hours per week in a self-guided capacity, demonstrating initiative and ownership of the machine learning deliverables.

Qualifications

MS or PhD in Computer Science or experience in a related field with a focus on computer vision and machine learning.
2+ years of experience in designing, training, and deploying convolutional neural networks (CNNs) for various computer vision tasks.
Hands on coding experience in deep learning frameworks such as PyTorch/TensorFlow, coupled with an understanding of classic image processing algorithms. Strong coding skills in Python and its data manipulation and visualization libraries, including Matplotlib, NumPy, and Pandas.
Familiarity with Enterprise cloud platforms(Azure ML, SageMaker, Vertex AI)
Strong communication skills to effectively articulate technical concepts to diverse audiences, including those without technical expertise.

Preferred

Candidates with publications related to medical imaging or deep learning
Academic research background in healthcare
Successfully delivered vision projects from ideation to deployment in a production environment
Hands on experience with Azure ML

Why you should join CurieDx

Therese and Rashmi (our CEO and CTO) know what it's like to be sick or care for sick family members. Our mission is to help people who are sick, feel better faster. We are transforming the world of telehealth and home testing, shifting the experience from going to the doctor, to staying home and testing yourself with digital, AI tests. We are the first company to offer a suite of medical tests for remote care/telehealth using smartphone images, akin to the Labcorp for Telehealth.

We are supported by Johns Hopkins University, Microsoft, the National Science Foundation and Biomedical Advanced Research and Development Authority.

We are growing quickly and need people who can think dynamically to help us fix unsolved problems in healthcare.

If you're passionate about creating meaningful impact and want to join a team that values collaboration and innovation, we'd love to hear from you.

CurieDx is an equal opportunity employer and values diversity. All qualified applicants will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job Types: Part-time, Contract

Pay: $60.00 - $75.00 per hour

Work Location: Remote