Senior AI Scientist (Recommendation Systems)

Location: Mountain View, California, United States

Base pay range: $180,000–$243,500 per year, with potential bonus, equity rewards, and benefits.

Company

hirify.global is a financial technology platform serving approximately 100 million customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Design, build, deploy, and optimize large-scale recommendation and ranking models across multiple product verticals.
• Architect real-time, multi-stage recommendation systems covering candidate retrieval, scoring, re-ranking, and result blending.
• Develop personalization logic that balances revenue, customer trust, engagement, and long-term lifetime value.
• Analyze massive datasets, discover data sources, build ETL pipelines, and engineer production-ready features.
• Design A/B tests, conduct statistical and causal analysis, and communicate actionable insights to leadership.
• Collaborate with product, engineering, design, and analytics teams to define metrics and deliver scalable solutions.

Requirements

• MS or PhD in computer science, statistics, applied mathematics, operations research, physics, or a related quantitative discipline.
• At least 4 years of industry experience building and deploying machine learning models in production.
• Expert proficiency in Python and SQL, with experience in PyTorch, TensorFlow, scikit-learn, pandas, and NumPy.
• Strong experience with ranking, retrieval, multi-stage recommendation architectures, and recommender systems.
• Experience with large-scale data ecosystems such as Hive, Spark, or SparkSQL, and comfort working in Linux.
• Ability to explain technical concepts and connect model performance to business outcomes.

Nice to have

• Deep learning experience with embeddings, two-tower models, sequence models, or transformers for recommendation and personalization.
• NLP/NLU experience with text representation, semantic similarity, and transformer models.
• Familiarity with agentic AI, tool calling, multi-step reasoning, or LLM-based workflows.
• Experience with reinforcement learning, dynamic optimization, marketplaces, advertising, or matching systems.
• Strong computer science fundamentals, including data structures, algorithms, and performance optimization.

Culture & Benefits

• Cross-functional collaboration with product managers, software engineers, designers, and analytics teams.
• Opportunity to influence customer experiences across TurboTax, QuickBooks, and Credit Karma.
• Competitive pay-for-performance compensation structure.
• Potential eligibility for cash bonuses, equity rewards, and employee benefits.