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Machine Learning Engineer, Search Ranking

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Ladders
Full Time position
Listed on 2026-07-14
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 229000 - 343000 USD Yearly USD 229000.00 343000.00 YEAR
Job Description & How to Apply Below
Position: Staff Machine Learning Engineer, Search Ranking

For our client, we are seeking a Staff Machine Learning Engineer Search Ranking to join the team of a leader in the Media space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a Media environment.

Location:

Los Angeles, CA - US based candidates only, no visa sponsorship available

Compensation: $229,000 - $343,000 annually

Responsibilities
  • Lead the design and development of machine learning models for Search ranking
  • Own major ranking initiatives from problem definition to iteration
  • Develop and improve ranking models using advanced techniques
  • Build systems balancing multiple objectives such as relevance and user satisfaction
  • Collaborate with product managers and engineers to define success metrics
  • Analyze user behavior and search logs for improvement opportunities
  • Design evaluation and monitoring frameworks for models
Qualifications
  • Bachelor's Degree in computer science or equivalent work experience
  • 8+ years of post-Bachelor's machine learning experience, or Master's + 7+ years, or PhD + 4 years
  • Experience developing machine learning models for relevance ranking and personalization
  • Proficient in large-scale data processing and ML tools like Tensor Flow and Py Torch
  • Strong understanding of online experimentation and model debugging
  • Proven leadership in complex technical projects across teams
  • Excellent communication skills for technical and non-technical stakeholders
Benefits
  • Paid parental leave
  • Comprehensive medical coverage
  • Emotional and mental health support programs
  • Compensation packages sharing in the company’s long-term success

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.

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