Remote Senior Staff ML Engineer: Personalization & LLMs

Ladders; United States; Remote; USD 266,000 - 372,000; Full time

Benefits offered by this job

Healthcare benefits

401k with match

Global benefits programs

Family planning support

Mental health resources

Flexible vacation policy

Parental leave

Job summary

Ladders is seeking a Senior Staff Machine Learning Engineer focused on understanding users at scale. You will shape strategy and technical direction for personalization, embeddings, and LLM-driven models across our media products.

Remote role for US-based candidates with impactful cross-team collaboration to improve engagement, retention, and product experiences. Compensation ranges publicly from $266,000 to $372,400 annually.

Qualifications

• 10+ years of experience building and scaling production-grade ML systems with user modeling.
• Proven experience leading high-impact projects from concept to production.
• Strong focus on real-world metrics like engagement and retention.
• Solid understanding of mainstream user modeling ML techniques and their practical applications.
• Experience applying LLMs or foundation models to enhance existing systems.

Responsibilities

• Define and implement a comprehensive user understanding framework with embeddings and LLMs.
• Design advanced user models for personalization across products.
• Utilize LLMs to enhance user profiles and understanding of behavior.
• Collaborate with platform teams to build robust infrastructure for large-scale learning and serving.
• Drive cross-team integration and measurement of user model impact across products.

Skills

User modeling

Recommender systems

ML systems scaling

LLMs / foundation models

Project leadership

Engagement metrics

Job description

Ladders is seeking a Senior Staff Machine Learning Engineer focused on understanding users at scale. You will shape strategy and technical direction for personalization, embeddings, and LLM-driven models across our media products.

Remote role for US-based candidates with impactful cross-team collaboration to improve engagement, retention, and product experiences. Compensation ranges publicly from $266,000 to $372,400 annually.