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Machine Learning Scientist
2 months ago
Job Summary:
Altea Healthcare is seeking an experienced Machine Learning Scientist/Engineer to join our AI team. As a key member, this person will contribute to designing, implementing, and deploying AI/ML predictive applications to improve care delivery and quality for post-acute patients.
Key Responsibilities:
- Lead the full end-to-end machine learning development process, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking, and documentation.
- Process data of multiple types (vitals, labs, medications, medical codes, notes) and incorporate into predictive models to improve accuracy.
- Develop evaluation processes that ensure accuracy, fairness, reproducibility, and scalability.
- Collaborate with software engineers to incorporate predictive models into the EHR system.
- Incorporate feedback from cross-functional teams and refine the ML models through quick iteration cycles.
Requirements:
- Master's or PhD degree in Computer Science, Data Science, Machine Learning, Biomedical Engineering, or a related field.
- Strong experience in developing, deploying, and scaling predictive algorithms in healthcare settings.
- Strong understanding and experience using Explainable AI methods to improve interpretability of models for care providers.
- Experience working with various health data types (time series, low-frequency labs, medications, notes, medical codes).
- Strong experience building models using 'classical' ML algorithms (XGBoost, CatBoost, Random Forest, LightGBM) and neural network architectures (LSTM, GRU, transformers, language models).
- Excellent communication skills to collaborate effectively with cross-functional teams and translate business requirements into technical specifications.
- Good understanding of the full ML system development, deployment, and maintenance lifecycle.
- Ability to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelines.
- Experience writing production-grade code is a plus.
What We Offer:
- Competitive pay and benefits.
- Extremely valuable startup stock options.
- Hybrid work environment with remote options available.
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Vision insurance
