Machine Learning Scientist III developing AI solutions for multi-product domain at Expedia Group. Collaborating with product managers and engineers to optimize travel experiences through machine learning.
Responsibilities
Design and implement end-to-end model pipelines to production across multiple product domains, including ranking, recommendations, search, and personalization
Develop and maintain scalable data pipelines, data quality checks, and model monitoring to ensure reliability, performance, and responsible behavior of ML systems in production
Collaborate with cross-functional partners (product, analytics, engineering) to translate ambiguous business needs into well-scoped ML projects, communicate findings, and influence decision-making with data-driven insights
Use A/B tests and offline/online evaluation frameworks to measure model impact and guide iterative improvement
Requirements
Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience
5+ years of relevant professional experience
Proficiency in Python and with ML frameworks and libraries for model development, training, and evaluation
Experience working with large-scale datasets, data processing technologies, and feature pipelines to support model training and inference in a service or multi-service environment
Ability to independently scope, execute, and own ML components of a project, including defining metrics, validating results, and partnering with engineering teams to integrate models into production services
Benefits
medical/dental/vision
paid time off
Employee Assistance Program
wellness & travel reimbursement
travel discounts
International Airlines Travel Agent (IATAN) membership
Machine Learning Systems Research Intern at Red Hat working on AI inference and model optimization techniques. Collaborating with experts in the field while gaining hands - on experience in applied ML research.
Senior Machine Learning Engineer focused on Machine Learning Ops for Autodesk software products. Building production infrastructures, ensuring AI - powered experiences, and collaborating with cross - functional teams.
Senior Machine Learning Engineer developing and deploying machine learning models for autonomous trucks. Collaborating with various teams to enhance safe and efficient decision - making in freight environments.
AI Engineer at PayPal designing, building, and deploying autonomous AI systems powered by LLMs. Collaborating across teams on AI engineering, distributed systems, and product development.
Machine Learning Engineer designing and deploying advanced training capabilities to support U.S. Navy operational readiness. Collaborate on machine - learning models to enhance combat system training environments.
Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
Staff AI/ML Engineer at CACI responsible for developing AI/ML algorithms and analyzing datasets. Join a high - performing team supporting national safety missions.
AI/ML Engineer at CACI developing machine learning algorithms for multiple applications. Collaborating with a research team to implement cutting - edge AI/ML solutions for customer missions.
Senior Computer Vision AI/ML Engineer leading a team in AI/ML algorithm implementation for remote sensing solutions. Responsibilities include training models and analyzing datasets with a focus on defense and commercial applications.