Senior Machine Learning Engineer

Evaluate existing machine learning models and identify performance improvement opportunities

Train, test, deploy, and continuously refine production ML models

Improve feature engineering, model architectures, prediction accuracy, and optimization performance

Analyze large-scale datasets containing millions of records across multiple sources

Design and execute experiments to validate model improvements

Develop production-quality Python code and collaborate through code reviews and testing practices

Translate insights from complex datasets into measurable product and business outcomes

Monitor model effectiveness and evolve solutions as user behavior and market conditions change

Partner with Product, Engineering, and Data teams to align machine learning initiatives with business objectives

What Success Looks Like During the first several months

• Gain a deep understanding of existing machine learning systems and business objectives
• Analyze large and complex datasets to uncover optimization opportunities
• Improve prediction, ranking, recommendation, or optimization models
• Introduce enhanced features, architectures, and model configurations
• Deliver production-ready improvements that positively impact key performance metrics and revenue

Ideal Background

• Senior Machine Learning Engineer
• Applied Machine Learning Engineer
• Data Scientist with strong production ML experience
• Software Engineer specializing in Machine Learning
• Experience in any of the following areas is highly valued:
• Advertising technology and optimization
• Ranking and bidding systems
• Recommendation engines
• Personalization systems
• Search and relevance algorithms
• Marketplace optimization
• User value prediction
• Large-scale forecasting and predictive systems

Candidates from consumer technology, marketplaces, digital products, or other large-scale data environments are encouraged to apply.

Required Qualifications

• 5+ years of industry experience in Machine Learning Engineering, Applied Machine Learning, or Data Science
• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field
• Strong Python programming skills with hands-on experience building ML solutions
• Advanced SQL skills, including complex joins, aggregations, and multi-source analysis
• Experience working with datasets containing millions of records
• Experience building, deploying, and optimizing production machine learning models
• Strong understanding of feature engineering and its impact on model performance
• Experience writing maintainable, testable, production-quality code
• Ability to operate independently and drive technical decisions

Preferred Qualifications

• Experience with optimization, ranking, recommendation, or personalization systems
• Background in advertising technology or digital monetization platforms
• Familiarity with feature stores and modern machine learning workflows
• Experience with cloud platforms and modern data technologies
• Knowledge of large-scale experimentation frameworks and model evaluation methodologies