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À propos
Role responsibilities:
Design and develop robust pipelines using advanced methods with large language models (LLMs) to extract features and label data from unstructured datasets Create and implement rigorous evaluation metrics to assess feature extraction processes, ensuring continuous improvement aligned with clinical and product goals. Enhance and maintain scalable, reproducible data science infrastructure to support agile development and secure operations across partitioned client environments. Design and implement MLOps practices to streamline, scale, and automate machine learning workflows. Manipulate, analyze, and manage large-scale datasets using Python, SQL, and other tools. Work closely with engineers, clinicians, and product teams to ensure data solutions are aligned with user needs and drive meaningful outcomes. Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact.
Your background:
Master's or PhD in Computer Science, Engineering, Data Science, or a related field. Senior and Principal roles considered based on experience. 1+ years of professional data science experience, with a proven ability to train, evaluate, and deploy machine learning models, including large language models. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow), as well as experience with data manipulation tools like SQL, pandas, or NumPy. Familiarity with ML Ops practices and deploying models into production pipelines (preferred). Knowledge of healthcare data, such as radiology images or EHRs, is a plus. Strong ownership mindset, entrepreneurial spirit, and product-focused approach to solving impactful problems.
What we offer:
Competitive base salary + equity. A key role in a fast-growing startup with immense potential. Generous benefits: medical/dental/vision, 401k, PTO, and parental leave. Remote first with hybrid options available at our SF and NYC offices. An innovative, collaborative, and supportive work environment. Incredible teammates who inspire growth and learning.
HOPPR is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Compétences linguistiques
- English
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