Senior Staff Machine Learning Engineer, ML Understanding

The Ladders
United States
2 days ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$266,000.0
Working hours
Regular working hours
Job source

Tech stack

Machine Learning Recommender Systems Large Language Models Machine Learning Operations

Job description

This role will shape the strategy and technical direction for user understanding at scale, with a focus on personalization, embeddings, and LLM-driven models. You will partner closely with platform and product teams to improve how user behavior is modeled and how those insights translate into better experiences across the company’s products. The work is highly cross-functional and will have measurable impact on engagement, retention, and the performance of large-scale learning systems., * Define and implement a comprehensive user understanding framework incorporating embeddings and LLMs.

  • Design advanced user models for improved personalization across the company’s products.
  • Utilize LLMs to enhance user profiles and deepen understanding of user 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 multiple product teams.

Requirements

  • 10+ years of experience building and scaling production-grade ML systems, especially with user modeling and recommender systems.
  • Proven experience leading high-impact projects from concept to production.
  • Strong focus on real-world metrics, including 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.

Benefits & conditions

  • Comprehensive healthcare benefits and income replacement programs.
  • 401k with employer match.
  • Global benefit programs for diverse employee needs and professional development.
  • Support for family planning and gender-affirming care.
  • Mental health and coaching resources.
  • Flexible vacation policy and paid volunteer time off.
  • Generous paid parental leave.

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Loading talks and stories from around this role…