Remote Staff ML Engineer - Lead Production-Ready Models

Ladders; United States; Remote; USD 200,000 - 250,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k)

Unlimited PTO

Parental leave

Job summary

Ladders is seeking a Staff Machine Learning Engineer to join the team of a leader in the Enterprise Technology space. This role will lead the design and delivery of advanced machine learning solutions that turn complex customer needs into production-ready technical outcomes.

You will work closely with stakeholders to define requirements, shape technical approaches, and ensure solutions are delivered on time and aligned to business value. Location: Remote.

Qualifications

• Advanced degree in data science, machine learning, or computer science with 10+ years of experience.
• Expertise in Python and familiarity with machine learning libraries such as TensorFlow and PyTorch.
• Proficiency in designing algorithms and delivering production analytics.
• Experience defining and delivering complex technical solutions.
• Demonstrated leadership and mentoring capabilities in a cross-functional team environment.

Responsibilities

• Collaborate with customers and stakeholders to identify clear project requirements
• Translate requirements into technical design, estimates, and execution plans
• Lead project teams to deliver on-time results aligned with customer business value
• Design and automate complex data pipelines and algorithms within modern architectures
• Oversee the development of machine learning models and custom analytics
• Provide feedback and insights to improve team practices and accelerate project delivery
• Conduct fieldwork and interface with customers at their sites

Skills

Python

TensorFlow

PyTorch

Machine Learning

Data pipelines

Leadership

Communication

Education

Advanced degree in data science / ML / CS

Job description

Ladders is seeking a Staff Machine Learning Engineer to join the team of a leader in the Enterprise Technology space. This role will lead the design and delivery of advanced machine learning solutions that turn complex customer needs into production-ready technical outcomes.

You will work closely with stakeholders to define requirements, shape technical approaches, and ensure solutions are delivered on time and aligned to business value. Location: Remote.