Staff Machine Learning Engineer

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

For our client, we are seeking a Staff Machine Learning Engineer to join the team of 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. The work will focus on building reusable pipelines, robust tooling, and best practices that enable faster delivery of high-quality models across the organization.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $170,000 – $245,000 annually

Responsibilities

• Design, prototype, and productionize scalable machine learning and optimization models
• Establish best practices for machine learning and guide the development of the ML platform
• Develop frameworks and tools for processing large data sets for ML tasks
• Collaborate with data scientists to optimize data pipelines
• Gather requirements for machine learning models 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 professionals in deploying their models
• Design and construct ML engineering solutions to improve platform capabilities

Qualifications

• 6+ years of experience in machine learning
• Proven experience deploying machine learning models into production systems
• Strong expertise in deep learning, neural networks, and statistical modeling
• Extensive experience building personalization and recommendation systems
• Working knowledge of operations research concepts
• Familiarity with large language models and reinforcement learning
• Solid foundation in computer science fundamentals
• Advanced proficiency in Python and SQL
• Excellent communication skills
• Experience developing data pipelines and ML libraries/tools
• Eagerness to learn new technologies
• Interest in mentoring junior engineers and data scientists

Benefits

• Remote work with regular in-person team bonding experiences
• Holistic perks program including free therapy and wellness initiatives
• Excellent health, dental, and vision coverage
• 401k benefits with employer matching
• Opportunity to make a positive impact through meaningful work
• Company-sponsored tools and software to enhance productivity
• Supportive and collaborative work culture

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.