Sr. Machine Learning Engineer - Job Opportunity at A Place For Mom

Austin, United States
Full-time
Senior
Posted: May 13, 2025
Remote
USD 125,000-135,000 per year plus 10% bonus

Benefits

Competitive 401(k) with employer matching demonstrating long-term investment in employees
Comprehensive health insurance package including medical, dental, and vision coverage
Flexible PTO policy indicating strong work-life balance culture
Total compensation package valued approximately 30-40% above base salary

Key Responsibilities

Lead end-to-end machine learning system development with focus on healthcare outcomes
Architect and optimize data pipelines for complex healthcare datasets
Drive Gen AI innovation and implementation across enterprise systems
Provide technical leadership in ML model development and deployment
Establish ML governance frameworks and best practices
Collaborate with cross-functional teams to align ML solutions with business objectives

Requirements

Education

Master's degree in Computer Science, Mathematics, or related field, or equivalent working experience

Experience

5+ years of proven experience as a Machine Learning Engineer

Required Skills

SQL Databricks AWS services Python Spark XGBoost Scikit TensorFlow Keras PyTorch ETL processes Data quality management Communication skills
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Sauge AI Market Intelligence

Industry Trends

The senior care industry is experiencing rapid digital transformation, with ML applications becoming crucial for patient care optimization and resource allocation. Healthcare ML engineers are increasingly focused on implementing Gen AI solutions, particularly for personalized care recommendations and process automation. The intersection of healthcare and ML is seeing growing demand for professionals who can handle sensitive medical data while delivering scalable solutions.

Salary Evaluation

The offered salary range of $125,000-135,000 plus bonus is slightly below market for senior ML roles in healthcare tech, where similar positions typically command $140,000-180,000 in major tech hubs. However, the remote nature and comprehensive benefits package help offset this difference.

Role Significance

Typical team structure includes 3-5 direct reports with matrix management of 8-12 cross-functional team members
This is a strategic technical leadership position with significant influence on the company's ML infrastructure and healthcare solutions development

Key Projects

Implementation of predictive analytics for senior care matching Development of automated care recommendation systems Healthcare data pipeline optimization Gen AI integration for customer service enhancement

Success Factors

Deep understanding of healthcare data compliance and HIPAA regulations Ability to balance technical excellence with business impact Strong leadership skills in guiding cross-functional teams Experience with healthcare-specific ML applications

Market Demand

Very high demand with projected 35% growth in healthcare ML positions over the next 3 years, particularly in senior care technology sector

Important Skills

Critical Skills

Advanced ML model development expertise is essential for building scalable healthcare solutions Healthcare data handling experience crucial for maintaining HIPAA compliance Strong system architecture skills needed for building robust ML pipelines

Beneficial Skills

Knowledge of healthcare regulations and compliance frameworks Experience with healthcare data standards and interoperability Familiarity with senior care industry trends

Unique Aspects

Opportunity to impact senior healthcare through ML innovations
Combination of healthcare domain expertise with cutting-edge ML applications
Strong focus on Gen AI implementation in traditional healthcare sector

Career Growth

Typical progression to next level within 2-3 years based on project success and team leadership capabilities

Potential Next Roles

Principal Machine Learning Engineer Director of AI/ML Chief Data Officer Technical Architecture Leader

Company Overview

A Place For Mom

A Place for Mom is the largest senior care advisory platform in the US, operating at the intersection of healthcare, technology, and customer service

Market leader in senior care advisory services with significant growth potential in ML-driven solutions
Nationally distributed team with strong presence in major tech hubs
Mission-driven organization with strong emphasis on work-life balance and professional development
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