Remote Staff ML Engineer — Productionized Models & Platform

Ladders; United States; On-site; USD 170,000 - 245,000; Full time

Benefits offered by this job

Remote work

Free therapy

Healthcare coverage

401k with matching

Team bonding

Job summary

Ladders is seeking a Staff Machine Learning Engineer to join a leader in the Healthcare space. This role will drive the design and productionization of scalable machine learning and optimization solutions that support personalized care experiences.

You will partner closely with data scientists, product managers, and other stakeholders to improve model performance, streamline deployment, and strengthen the underlying ML platform.

Qualifications

• 6+ years of experience in machine learning and production deployment
• Strong expertise in deep learning, neural networks, and statistical modeling
• Experience building personalization and recommendation systems
• Familiarity with large language models and reinforcement learning
• Excellent communication and mentoring skills
• Experience developing data pipelines and ML libraries/tools

Responsibilities

• Design, prototype, and productionize scalable ML and optimization models
• Establish best practices for ML and guide the ML platform development
• Develop frameworks and tools for processing large data sets for ML tasks
• Collaborate with data scientists to optimize data pipelines
• Gather requirements from product managers and stakeholders
• Create a model deployment platform for easy implementation of new models
• Build end-to-end reusable pipelines for data and model output delivery
• Mentor and guide junior engineers and data scientists
• Design ML engineering solutions to improve platform capabilities

Skills

Machine learning

Deep learning

Neural networks

Statistical modeling

Python

SQL

Data pipelines

ML libraries/tools

Communication

Mentoring

Reinforcement learning

Optimization

Tools

Python

SQL

ML platforms

Job description

Ladders is seeking a Staff Machine Learning Engineer to join a leader in the Healthcare space. This role will drive the design and productionization of scalable machine learning and optimization solutions that support personalized care experiences.

You will partner closely with data scientists, product managers, and other stakeholders to improve model performance, streamline deployment, and strengthen the underlying ML platform.