Senior Machine Learning Scientist (AI)

Location: USA - Any Location (Remote). Applicants must be currently authorized to work in the United States without visa sponsorship now or in the future.

Salary: $150,000–$175,000 base annually, plus performance bonus and benefits.

Company

hirify.global provides virtual-care services and uses data, machine learning, and AI to improve member and provider experiences.

What you will do

• Build production-ready time-series models for real-time KPI forecasting and optimize provider-network decisions for clinical operations.
• Design, deploy, and operate scalable machine learning and AI systems across batch and real-time production environments.
• Develop data transformation, feature engineering, model training, evaluation, deployment, monitoring, retraining, and experiment-tracking pipelines.
• Build modular, tested, production-quality software with Python, Spark, and SQL, including scalable Databricks workloads.
• Design and integrate LLMs, retrieval-augmented generation, agentic workflows, and other AI capabilities.
• Partner with Product, Engineering, Clinical, Operations, Marketing, and Data Engineering stakeholders to translate models into measurable business outcomes.

Requirements

• 8+ years of experience as a Machine Learning Scientist, Data Scientist, or in a similar role, preferably in SaaS or consumer technology.
• Master’s degree or higher in computer science, operations research, machine learning, information systems, engineering, or a related field.
• Extensive experience building and operating production machine learning systems, distributed data-processing solutions, reusable feature pipelines, model deployment, monitoring, and continuous improvement.
• Strong experience with Python, Spark, and SQL, along with statistical modeling, machine learning algorithms, experimentation, forecasting, model evaluation, and explainability.
• Strong system-design skills and the ability to communicate technical decisions, tradeoffs, and expected value to technical and business stakeholders.
• Must be authorized to work in the United States without current or future visa sponsorship.

Nice to have

• Experience with Databricks, MLflow, Delta Lake, Airflow, Terraform, or equivalent cloud-native technologies.
• Experience with LLMs, embeddings, vector databases, RAG, or agentic workflows.
• Experience applying forecasting, optimization, or decision science to operational, logistics, marketplace, or network-optimization problems.
• Healthcare data experience, such as claims or EHR data.
• Strong active listening, collaboration, and member-privacy awareness.

Culture & Benefits

• Flexible vacation policy with manager approval.
• 80 hours of paid sick, safe, and caregiver leave annually for full-time employees.
• Performance bonus and benefits subject to eligibility requirements.
• Inclusive workplace focused on innovation, growth, and improving access to care.

Hiring process

• Identity and credential verification.
• Live or video interviews.
• Fraud and misrepresentation screening.