Senior Machine Learning Engineer, Recommendation Systems

Position Overview

We convert audience attention into action through data, machine learning, and continuous optimization. We're hiring a Machine Learning Engineer (Recommendation Systems) to build the personalization engine behind our portfolio of brands. In this role you will design, deploy, and scale ML systems powering real-time recommendations across millions of user journeys. You’ll have the opportunity to work on systems serving 100M+ predictions daily, directly impacting engagement, retention, and revenue at scale.

Key Responsibilities

• Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale.
• Enhance data processing pipelines (using tools like Spark, Beam, or Dask) with efficiency and reliability improvements.
• Design ranking algorithms that balance relevance, diversity, and revenue.
• Deliver real-time personalization with latency under 50ms across key product surfaces.
• Run statistically rigorous A/B tests to measure true business impact.
• Optimize systems for latency, throughput, and cost efficiency in production environments.
• Partner with product, engineering, and analytics teams to launch high-impact personalization features.
• Implement monitoring systems and maintain clear ownership for model reliability.

Required Qualifications

• 5+ years of experience building and scaling production ML systems with measurable business impact.
• Proven experience deploying ML systems serving 100M+ predictions daily.
• Strong background in ranking algorithms (collaborative filtering, learning-to-rank, deep learning).
• Proficiency with Python and ML frameworks such as TensorFlow or PyTorch.
• Skilled in SQL and familiar with modern data warehouses (Snowflake, BigQuery, Redshift) as well as data lakes.
• Experience with distributed computing frameworks like Spark or Ray and familiarity with LLM/AI Agent frameworks.
• A track record of improving business KPIs through ML-powered personalization.
• Experience with A/B testing platforms and best practices for experiment logging.

Benefits & Perks

• Base Salary: $130,000-$220,000 per year, paid semi-monthly
• Bonus: Profit-sharing bonus available
• Benefits: Competitive benefits package
• Future compensation increases based on company and personal performance