Personalization ML Engineer — HealthTech Platform

Bask Health; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Bask Health is seeking a Machine Learning Engineer, Personalization to design and deploy intelligent, personalized experiences across our direct-to-consumer telehealth platform. You will build ranking and recommendation systems, develop feature pipelines, and work with backend services to deliver production-ready personalization.

You will collaborate with product managers and engineers to drive measurable improvements while respecting privacy and clinical boundaries within healthcare data.

Qualifications

• 3+ years of professional experience in machine learning engineering, applied ML, software engineering, or closely related field.
• Experience developing and deploying ML models in production.
• Strong programming skills in Python or comparable ML development languages.
• Understanding of recommendation systems, ranking models, or predictive modeling.
• Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Familiarity with supervised learning and common model evaluation techniques.
• Experience developing data processing and feature engineering pipelines.
• Strong understanding of SQL and structured application data.
• Familiarity with statistical analysis and experimental design.
• Experience integrating ML models into production applications.
• Understanding of backend services and API development.
• Familiarity with cloud-based ML deployment.
• Experience evaluating model quality using offline metrics.
• Understanding of data quality and feature reliability.
• Familiarity with model monitoring and production observability.
• Experience writing maintainable, tested production code.
• Understanding authentication, authorization, and secure data handling.
• Experience using Git and collaborative engineering workflows.
• Ability to translate product requirements into ML solutions.
• Strong analytical and problem-solving skills.
• Ability to collaborate effectively with product managers, data specialists, and software engineers.
• Ability to independently own ML projects from development through deployment.

Responsibilities

• Design, implement, and deploy machine learning models that enable personalized experiences across Bask Health platform.
• Build and refine ranking and recommendation systems for content and user experiences.
• Develop feature engineering pipelines and model representations of user preferences.
• Integrate models with backend services and APIs; collaborate with frontend teams for product integration.
• Design experiments and A/B tests to measure personalization impact on engagement and outcomes.
• Monitor production model performance, latency, and reliability; iterate based on results.

Skills

Python

ML frameworks

SQL

A/B testing

Production ML

Recommender systems

Experiment design

Data pipelines

Cloud deployment

Git

Tools

PyTorch

TensorFlow

scikit-learn

Job description

Bask Health is seeking a Machine Learning Engineer, Personalization to design and deploy intelligent, personalized experiences across our direct-to-consumer telehealth platform. You will build ranking and recommendation systems, develop feature pipelines, and work with backend services to deliver production-ready personalization.

You will collaborate with product managers and engineers to drive measurable improvements while respecting privacy and clinical boundaries within healthcare data.