Alto Pharmacy is hiring a
Machine Learning Engineer

Summary

Join Alto Pharmacy as a Machine Learning Engineer and play a pivotal role in designing, developing, and deploying ML models that drive our business forward. You will collaborate with cross-functional teams to integrate ML solutions into our products and services.

Requirements

• Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of experience in machine learning, data science, applied science engineering or a related field
• Proven track record of deploying ML models in production environments at scale
• Strong programming skills in Python, R, or a similar language
• Experience with ML frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn
• Proficiency in data manipulation and analysis using SQL, Pandas, or similar tools
• Experience in designing, training, deploying, and scaling models on Cloud (AWS, GCP, or Azure) leveraging toolkits such as Kubeflow
• Excellent problem-solving skills and a strong analytical mindset
• Strong written and verbal communication skills with the ability to break down complex technical concepts

Responsibilities

• Developing personalized recommendation systems
• Building AI Assistant tools that have cross-company user adoption
• Design, build, and deploy scalable ML models for various applications, such as personalized patient care, predictive analytics, and operational efficiency
• Ensure models are robust, efficient, and maintainable
• Collaborate with software engineers to integrate ML models into production systems
• Work closely with the data engineering team to ensure the availability of high-quality data for model training and evaluation
• Perform data exploration, cleaning, and preprocessing
• Conduct rigorous testing and validation of ML models
• Partner with product managers to identify opportunities for ML to solve business problems and improve patient outcomes
• Collaborate with clinical and operations teams to ensure ML solutions align with business needs and regulatory requirements
• Communicate complex ML concepts and results to non-technical stakeholders
• Stay up-to-date with the latest advancements in ML and AI
• Experiment with new algorithms, tools, and techniques to improve existing models and explore new applications
• Contribute to the company's intellectual property through patents and publications

Preferred Qualifications

• Experience in the healthcare or pharmaceutical industry
• Knowledge of healthcare data standards (FHIR, HL7, NCPDP etc) and regulatory (e.g., HIPAA)
• Experience with big data technologies such as Snowflake, BigQuery, or similar
• Familiarity with natural language processing (NLP) and computer vision techniques

Benefits

• Full-time: Medical, Dental, Vision
• 401(k)
• Group Life
• AD&D
• Employer paid STD/LTD
• Generous PTO and parental leave