M

Machine Learning Engineer

meeboss • United States
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Own and evolve large-scale recommendation systems and apply AI/LLM technologies to production problems. Design retrieval and ranking systems, run experiments, and take ideas from prototype to production. Requires 3-6 years of production ML/recommendation experience, Python/Java/Scala, PyTorch/TensorFlow, Spark, and Bay Area onsite work.

Key Highlights
Own core recommendation systems serving tens of millions of users
Improve retrieval, ranking, and multi-objective optimization
Apply LLMs and foundation models to recommendation problems
Prototype quickly and push successful ideas into production
Work onsite in the Bay Area, Mountain View, California
Key Responsibilities
Design, build, and iterate on high throughput, low latency recommendation systems and power core feeds
Improve retrieval, ranking, and multi-objective optimization to balance engagement, retention, content quality, and business metrics
Own systems from offline training through online inference, A/B experimentation, and metric analysis
Identify and resolve issues across data quality, model drift, and system performance in production
Apply LLMs and foundation models to recommendation problems
Prototype quickly, validate through experiments, and push successful ideas into production
Embrace AI-assisted development workflows and apply LLM-powered coding, debugging, and analysis
Technical Skills Required
Python PyTorch Spark
Benefits & Perks
Health, dental, and vision care
Top-tier 401(K) plan with company matching
Paid time off and paid holidays
FSA, HSA, and commuter benefits programs
Team activity budget

Job Description

About the job

MeeBoss is sharing this active opportunity on behalf of the hiring company. This role involves taking direct ownership of a core recommendation stack, improving experimentation velocity, and driving metrics from offline modeling through online A/B results.

The position focuses on evolving large-scale recommendation systems and applying AI and LLM technologies to real-world production problems to enhance content discovery, personalization, and developer productivity.

Job title

Machine Learning Engineer

Company

MeeBoss

Location

San Francisco, CA (On-site)

Why this role

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