Senior Machine Learning Scientist (AI)

TL;DR

Senior Machine Learning Scientist (AI): Designs and develops machine learning solutions for personalization, product, and business problems with an accent on translating ambiguous opportunities into scalable models and experiments. Focus on improving model performance, reliability, and operational quality across multiple problem domains.

Location: Must be based in the United States

Salary: $187,000.00 to $261,500.00 in San Jose

Company

hirify.global brands power global travel for everyone, everywhere by designing cutting-edge tech to make travel smoother and more memorable.

What you will do

• Design, develop, and apply machine learning solutions to real-world personalization, product, and business problems.
• Drive end-to-end scientific work across problem formulation, data exploration, feature engineering, model development, and evaluation.
• Partner closely with engineers, product, and business stakeholders to integrate machine learning solutions into services and workflows.
• Use strong technical judgment to select appropriate methods, validate outcomes, and improve model performance.
• Safely integrate and operate AI/ML-enabled solutions that improve outcomes.
• Contribute deep technical expertise across related domains, helping raise scientific and engineering quality.

Requirements

• Bachelor's degree in Computer Science or a related technical field.
• 8+ years of relevant professional experience.
• Demonstrated ownership of machine learning solutions at the service or multi-service level.
• Strong foundation in machine learning methods, statistical analysis, experimentation, and data-driven decision making.
• Experience working with cross-functional partners to deploy technical solutions.

Nice to have

• Advanced degree in Machine Learning, Computer Science, Statistics, or a related quantitative field.
• Experience delivering machine learning solutions at scale.
• Demonstrated ability to influence technical direction within a domain.
• Strong experience with recommendation, ranking, retrieval, search, personalization, ads, marketplace, or e-commerce.
• Experience with foundation models, LLMs, embedding models, semantic IDs, or hybrid LLM-recommender systems.

Culture & Benefits

• Full benefits package, including travel perks and generous time-off.
• Flexible work model with cool offices.
• Career development resources.
• Open culture where everyone belongs and differences are celebrated.