Machine Learning Engineer

$161,202 - $202,000/Yr

Alto Pharmacy - Bodega Bay, CA

Full-time - Mid Level

Bodega Bay, CA

Health and Personal Care Retailers

About the position

As a Machine Learning Engineer at Alto Pharmacy, you will be responsible for designing, developing, and deploying machine learning models that enhance the pharmacy experience for patients and partners. This role involves collaboration with various teams to integrate ML solutions into products and services, ultimately improving patient outcomes and operational efficiency. You will work with cutting-edge technologies and contribute to the development of scalable AI and ML systems.

Responsibilities

• Design, build, and deploy scalable ML models for applications such as personalized patient care and predictive analytics.
• Collaborate with software engineers to integrate ML models into production systems.
• Work closely with the data engineering team to ensure high-quality data availability 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.
• Mentor and provide technical leadership to junior ML engineers and data scientists.
• Stay up-to-date with the latest advancements in ML and AI.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in machine learning, data science, or applied science engineering.
• 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).
• Excellent problem-solving skills and a strong analytical mindset.

Nice-to-haves

• 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

• Medical, Dental, Vision insurance
• 401(k) retirement plan
• Group Life and AD&D insurance
• Employer paid Short-Term and Long-Term Disability
• Generous Paid Time Off (PTO)
• Parental leave